Japan
JPN
Mount Fuji · Photo: Midori /
CC BY 3.0
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610,350
Records
20
Datasets
73
Tables
13
Sources
292
SEL Fields
53
CCL Fields
📋
Most recent national census: 2025.
HERA carries the
2020 round — the 2025 census is not yet
ingested (results may still be in staged release, or the source isn't published in a
machine-readable form yet). The figures below are 2020.
Loading overview…
Datasets (20)
SEL — DGIWG Statistical Extent Location
SEL+ — Platform extension (not in DGIWG core spec)
CCL — DGIWG Cultural Context Location
Extension — Preserved in extension tables (not in core SEL/CCL schema)
Pending — Awaiting mapping
4 further sources (Ethnic Power Relations Dataset, GI-TOC / ENACT, Global Data Lab, World Values Survey) are held but not offered: their licences do not permit commercial redistribution. HERA cites their published findings with attribution and can supply the data to organisations holding their own licence — ask us.
JPN e-Stat (Japan Statistics Portal)
JPN-ESTAT
Census
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 13 table(s)
JPN e-Stat — SSDS D. Administrative base — social indicators (admin_0) — SUPERSEDED: partial copy under the wrong name 'demographics_wide', 98 of 104 columns; use ssds_d_social_indicators
— 1 rows, 98 columns
Loading data…
Field details — 98 fields (type, nulls, unique, samples)
Standards-Aligned Fields (2)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | float | SEL | 0% | 1 | 00000 |
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | JPN |
Extension Fields (96)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
#D0110101_Financial_power_index_Prefecture |
Financial power index Prefecture | float | 0% | 1 | 0.494 |
#D0110101_Financial_power_index_Prefecture_time |
Financial power index Prefecture (survey year) | float | 0% | 1 | 2022 |
#D01102_Real_term_balance_of_revenue_to_expenditure_Prefectu |
Real term balance of revenue to expenditure Prefectu | float | 0% | 1 | 3.1 |
#D01102_Real_term_balance_of_revenue_to_expenditure_Prefectu_time |
Real term balance of revenue to expenditure Prefectu (survey year) | float | 0% | 1 | 2022 |
#D0120101_Percentage_of_self-financial_resources_Prefecture |
Percentage of self-financial resources Prefecture | float | 0% | 1 | 55.9 |
#D0120101_Percentage_of_self-financial_resources_Prefecture_time |
Percentage of self-financial resources Prefecture (survey year) | float | 0% | 1 | 2022 |
#D0130201_Percentage_of_outstanding_amount_of_local_bonds_to |
Percentage of outstanding amount of local bonds to | float | 0% | 1 | 139.4 |
#D0130201_Percentage_of_outstanding_amount_of_local_bonds_to_time |
Percentage of outstanding amount of local bonds to (survey year) | float | 0% | 1 | 2022 |
#D01401_Real_term_of_current_balance_Prefecture |
Real term of current balance Prefecture | float | 0% | 1 | 93.3 |
#D01401_Real_term_of_current_balance_Prefecture_time |
Real term of current balance Prefecture (survey year) | float | 0% | 1 | 2022 |
#D0140201_Percentage_of_investment_expenditure_Prefecture |
Percentage of investment expenditure Prefecture | float | 0% | 1 | 13.1 |
#D0140201_Percentage_of_investment_expenditure_Prefecture_time |
Percentage of investment expenditure Prefecture (survey year) | float | 0% | 1 | 2022 |
#D0140301_Percentage_of_revenues_from_local_taxes_and_grants |
Percentage of revenues from local taxes and grants | float | 0% | 1 | 56.8 |
#D0140301_Percentage_of_revenues_from_local_taxes_and_grants_time |
Percentage of revenues from local taxes and grants (survey year) | float | 0% | 1 | 2022 |
#D0210101_Percentage_of_local_taxes_Prefecture |
Percentage of local taxes Prefecture | float | 0% | 1 | 36.29 |
#D0210101_Percentage_of_local_taxes_Prefecture_time |
Percentage of local taxes Prefecture (survey year) | float | 0% | 1 | 2022 |
#D0210201_Percentage_of_grants_to_local_governments_Prefectu |
Percentage of grants to local governments Prefectu | float | 0% | 1 | 14.95 |
#D0210201_Percentage_of_grants_to_local_governments_Prefectu_time |
Percentage of grants to local governments Prefectu (survey year) | float | 0% | 1 | 2022 |
#D0210301_Percentage_of_national_disbursements_Prefecture |
Percentage of national disbursements Prefecture | float | 0% | 1 | 19.88 |
#D0210301_Percentage_of_national_disbursements_Prefecture_time |
Percentage of national disbursements Prefecture (survey year) | float | 0% | 1 | 2022 |
#D0220103_Resident_tax_per_capita_Prefecture_+_Municipality |
Resident tax per capita Prefecture + Municipality | float | 0% | 1 | 129.5 |
#D0220103_Resident_tax_per_capita_Prefecture_+_Municipality_time |
Resident tax per capita Prefecture + Municipality (survey year) | float | 0% | 1 | 2022 |
#D02202_Fixed_assets_tax_per_capita_Prefecture_+_Municipalit |
Fixed assets tax per capita Prefecture + Municipalit | float | 0% | 1 | 77.4 |
#D02202_Fixed_assets_tax_per_capita_Prefecture_+_Municipalit_time |
Fixed assets tax per capita Prefecture + Municipalit (survey year) | float | 0% | 1 | 2022 |
#D02204_Amount_of_national_tax_per_capita |
Amount of national tax per capita | float | 0% | 1 | 704.7 |
#D02204_Amount_of_national_tax_per_capita_time |
Amount of national tax per capita (survey year) | float | 0% | 1 | 2023 |
#D02206_Taxable_income_per_tax_debtor |
Taxable income per tax debtor | float | 0% | 1 | 3933.7 |
#D02206_Taxable_income_per_tax_debtor_time |
Taxable income per tax debtor (survey year) | float | 0% | 1 | 2024 |
#D02207_Ratio_of_taxpayer_per_capita |
Ratio of taxpayer per capita | float | 0% | 1 | 46.2 |
#D02207_Ratio_of_taxpayer_per_capita_time |
Ratio of taxpayer per capita (survey year) | float | 0% | 1 | 2024 |
| +66 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN e-Stat — SSDS D. Administrative base — basic data (admin_0) — SUPERSEDED: partial copy under the wrong name 'education_wide', 120 of 396 columns; use ssds_d_administrative_base
— 1 rows, 120 columns
Loading data…
Field details — 120 fields (type, nulls, unique, samples)
Standards-Aligned Fields (2)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | float | SEL | 0% | 1 | 00000 |
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | JPN |
Extension Fields (118)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
D110101_Number_of_cities,_towns_and_villages |
Number of cities, towns and villages | float | 0% | 1 | 1741.0 |
D110101_Number_of_cities,_towns_and_villages_time |
Number of cities, towns and villages (survey year) | float | 0% | 1 | 2024 |
D110102_Number_of_cities_and_wards |
Number of cities and wards | float | 0% | 1 | 986.0 |
D110102_Number_of_cities_and_wards_time |
Number of cities and wards (survey year) | float | 0% | 1 | 2024 |
D110103_Number_of_towns_and_villages |
Number of towns and villages | float | 0% | 1 | 926.0 |
D110103_Number_of_towns_and_villages_time |
Number of towns and villages (survey year) | float | 0% | 1 | 2024 |
D1201_Number_of_general_personnel_Prefecture |
Number of general personnel Prefecture | float | 0% | 1 | 238199.0 |
D1201_Number_of_general_personnel_Prefecture_time |
Number of general personnel Prefecture (survey year) | float | 0% | 1 | 2024 |
D1202_Number_of_general_personnel_Municipality |
Number of general personnel Municipality | float | 0% | 1 | 709421.0 |
D1202_Number_of_general_personnel_Municipality_time |
Number of general personnel Municipality (survey year) | float | 0% | 1 | 2024 |
D1203_Number_of_fire_service_personnel |
Number of fire service personnel | float | 0% | 1 | 165343.0 |
D1203_Number_of_fire_service_personnel_time |
Number of fire service personnel (survey year) | float | 0% | 1 | 2024 |
D1204_Number_of_educational_service_personnel |
Number of educational service personnel | float | 0% | 1 | 1069060.0 |
D1204_Number_of_educational_service_personnel_time |
Number of educational service personnel (survey year) | float | 0% | 1 | 2024 |
D1205_Number_of_police_personnel |
Number of police personnel | float | 0% | 1 | 287631.0 |
D1205_Number_of_police_personnel_time |
Number of police personnel (survey year) | float | 0% | 1 | 2024 |
D1206_Number_of_public_businesses_account_personnel |
Number of public businesses account personnel | float | 0% | 1 | 342095.0 |
D1206_Number_of_public_businesses_account_personnel_time |
Number of public businesses account personnel (survey year) | float | 0% | 1 | 2024 |
D1210_Number_of_prefectural_assembly_members |
Number of prefectural assembly members | float | 0% | 1 | 2614.0 |
D1210_Number_of_prefectural_assembly_members_time |
Number of prefectural assembly members (survey year) | float | 0% | 1 | 2024 |
D1211_Number_of_municipal_assembly_members |
Number of municipal assembly members | float | 0% | 1 | 18389.0 |
D1211_Number_of_municipal_assembly_members_time |
Number of municipal assembly members (survey year) | float | 0% | 1 | 2024 |
D1212_Number_of_electoral_roll_subscribers |
Number of electoral roll subscribers | float | 0% | 1 | 104074483.0 |
D1212_Number_of_electoral_roll_subscribers_time |
Number of electoral roll subscribers (survey year) | float | 0% | 1 | 2024 |
D2101_Financial_power_index_Prefecture |
Financial power index Prefecture | float | 0% | 1 | 0.49378 |
D2101_Financial_power_index_Prefecture_time |
Financial power index Prefecture (survey year) | float | 0% | 1 | 2022 |
D2102_Real_term_balance_of_revenue_to_expenditure_Prefecture |
Real term balance of revenue to expenditure Prefecture | float | 0% | 1 | 3.1 |
D2102_Real_term_balance_of_revenue_to_expenditure_Prefecture_time |
Real term balance of revenue to expenditure Prefecture (survey year) | float | 0% | 1 | 2022 |
D2103_Real_term_of_current_balance_Prefecture |
Real term of current balance Prefecture | float | 0% | 1 | 93.3 |
D2103_Real_term_of_current_balance_Prefecture_time |
Real term of current balance Prefecture (survey year) | float | 0% | 1 | 2022 |
| +88 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN e-Stat - Employment Wide (admin_0)
— 1 rows, 684 columns
Loading data…
Field details — 684 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | float | SEL | 0% | 1 | 00000 |
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | JPN |
F1101_Population_census_Population_in_labour_force |
Population census Population in labour force | float | SEL | 0% | 1 | 59949767.0 |
F1107_Population_census_Number_of_unemployed_persons |
Population census Number of unemployed persons | float | SEL | 0% | 1 | 2306542.0 |
Extension Fields (680)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
F1101_Population_census_Population_in_labour_force_time |
Population census Population in labour force (survey year) | float | 0% | 1 | 2020 |
F110101_Population_census_Population_in_labour_force_Male |
Population census Population in labour force Male | float | 0% | 1 | 32925925.0 |
F110101_Population_census_Population_in_labour_force_Male_time |
Population census Population in labour force Male (survey year) | float | 0% | 1 | 2020 |
F110102_Population_census_Population_in_labour_force_Female |
Population census Population in labour force Female | float | 0% | 1 | 27023842.0 |
F110102_Population_census_Population_in_labour_force_Female_time |
Population census Population in labour force Female (survey year) | float | 0% | 1 | 2020 |
F1102_Population_census_Number_of_employed_persons |
Population census Number of employed persons | float | 0% | 1 | 57643225.0 |
F1102_Population_census_Number_of_employed_persons_time |
Population census Number of employed persons (survey year) | float | 0% | 1 | 2020 |
F110201_Population_census_Number_of_employed_persons_Male |
Population census Number of employed persons Male | float | 0% | 1 | 31501307.0 |
F110201_Population_census_Number_of_employed_persons_Male_time |
Population census Number of employed persons Male (survey year) | float | 0% | 1 | 2020 |
F110202_Population_census_Number_of_employed_persons_Female |
Population census Number of employed persons Female | float | 0% | 1 | 26141918.0 |
F110202_Population_census_Number_of_employed_persons_Female_time |
Population census Number of employed persons Female (survey year) | float | 0% | 1 | 2020 |
F1103_Population_census_Number_of_employed_persons,_mainly_w |
Population census Number of employed persons, mainly w | float | 0% | 1 | 47954511.0 |
F1103_Population_census_Number_of_employed_persons,_mainly_w_time |
Population census Number of employed persons, mainly w (survey year) | float | 0% | 1 | 2020 |
F110301_Population_census_Number_of_employed_persons,_mainly |
Population census Number of employed persons, mainly | float | 0% | 1 | 34087161.0 |
F110301_Population_census_Number_of_employed_persons,_mainly_time |
Population census Number of employed persons, mainly (survey year) | float | 0% | 1 | 2005 |
F110302_Population_census_Number_of_employed_persons,_mainly |
Population census Number of employed persons, mainly | float | 0% | 1 | 16868133.0 |
F110302_Population_census_Number_of_employed_persons,_mainly_time |
Population census Number of employed persons, mainly (survey year) | float | 0% | 1 | 2005 |
F1104_Population_census_Number_of_employed_persons,_working_ |
Population census Number of employed persons, working | float | 0% | 1 | 7107404.0 |
F1104_Population_census_Number_of_employed_persons,_working__time |
Population census Number of employed persons, working (survey year) | float | 0% | 1 | 2020 |
F110401_Population_census_Number_of_employed_persons,_workin |
Population census Number of employed persons, workin | float | 0% | 1 | 544471.0 |
F110401_Population_census_Number_of_employed_persons,_workin_time |
Population census Number of employed persons, workin (survey year) | float | 0% | 1 | 2005 |
F110402_Population_census_Number_of_employed_persons,_workin |
Population census Number of employed persons, workin | float | 0% | 1 | 7953939.0 |
F110402_Population_census_Number_of_employed_persons,_workin_time |
Population census Number of employed persons, workin (survey year) | float | 0% | 1 | 2005 |
F1105_Population_census_Number_of_employed_persons,_working_ |
Population census Number of employed persons, working | float | 0% | 1 | 1105592.0 |
F1105_Population_census_Number_of_employed_persons,_working__time |
Population census Number of employed persons, working (survey year) | float | 0% | 1 | 2020 |
F110501_Population_census_Number_of_employed_persons,_workin |
Population census Number of employed persons, workin | float | 0% | 1 | 560697.0 |
F110501_Population_census_Number_of_employed_persons,_workin_time |
Population census Number of employed persons, workin (survey year) | float | 0% | 1 | 2005 |
F110502_Population_census_Number_of_employed_persons,_workin |
Population census Number of employed persons, workin | float | 0% | 1 | 507130.0 |
F110502_Population_census_Number_of_employed_persons,_workin_time |
Population census Number of employed persons, workin (survey year) | float | 0% | 1 | 2005 |
F1106_Population_census_Number_of_employed_persons,_being_ab |
Population census Number of employed persons, being ab | float | 0% | 1 | 1475718.0 |
| +650 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN e-Stat - Housing Wide (admin_0)
— 1 rows, 448 columns
Loading data…
Field details — 448 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | float | SEL | 0% | 1 | 00000 |
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | JPN |
H1100_Number_of_dwellings |
Number of dwellings | float | SEL | 0% | 1 | 65046700.0 |
H1101_Number_of_dwellings_with_occupying_households |
Number of dwellings with occupying households | float | SEL | 0% | 1 | 55665000.0 |
H1102_Number_of_unoccupied_dwellings |
Number of unoccupied dwellings | float | SEL | 0% | 1 | 9381700.0 |
H3100_Number_of_total_households |
Number of total households | float | SEL | 0% | 1 | 56215300.0 |
Extension Fields (442)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
H1100_Number_of_dwellings_time |
Number of dwellings (survey year) | float | 0% | 1 | 2023 |
H1101_Number_of_dwellings_with_occupying_households_time |
Number of dwellings with occupying households (survey year) | float | 0% | 1 | 2023 |
H1102_Number_of_unoccupied_dwellings_time |
Number of unoccupied dwellings (survey year) | float | 0% | 1 | 2023 |
H110201_Number_of_houses_with_temporary_sojourners |
Number of houses with temporary sojourners | float | 0% | 1 | 285500.0 |
H110201_Number_of_houses_with_temporary_sojourners_time |
Number of houses with temporary sojourners (survey year) | float | 0% | 1 | 2023 |
H110202_Number_of_vacant_houses |
Number of vacant houses | float | 0% | 1 | 9001600.0 |
H110202_Number_of_vacant_houses_time |
Number of vacant houses (survey year) | float | 0% | 1 | 2023 |
H110203_Number_of_dwellings_under_construction |
Number of dwellings under construction | float | 0% | 1 | 94700.0 |
H110203_Number_of_dwellings_under_construction_time |
Number of dwellings under construction (survey year) | float | 0% | 1 | 2023 |
H1201_Number_of_dwellings_used_exclusively_for_living |
Number of dwellings used exclusively for living | float | 0% | 1 | 54893100.0 |
H1201_Number_of_dwellings_used_exclusively_for_living_time |
Number of dwellings used exclusively for living (survey year) | float | 0% | 1 | 2023 |
H1203_Number_of_dwellings_used_also_for_commerce_or_other_pu |
Number of dwellings used also for commerce or other pu | float | 0% | 1 | 772000.0 |
H1203_Number_of_dwellings_used_also_for_commerce_or_other_pu_time |
Number of dwellings used also for commerce or other pu (survey year) | float | 0% | 1 | 2023 |
H1310_Number_of_owned_houses |
Number of owned houses | float | 0% | 1 | 33875500.0 |
H1310_Number_of_owned_houses_time |
Number of owned houses (survey year) | float | 0% | 1 | 2023 |
H1320_Number_of_rented_houses |
Number of rented houses | float | 0% | 1 | 19461700.0 |
H1320_Number_of_rented_houses_time |
Number of rented houses (survey year) | float | 0% | 1 | 2023 |
H1321_Number_of_rented_houses_owned_by_local_government_and_ |
Number of rented houses owned by local government and | float | 0% | 1 | 2476200.0 |
H1321_Number_of_rented_houses_owned_by_local_government_and__time |
Number of rented houses owned by local government and (survey year) | float | 0% | 1 | 2023 |
H132101_Number_of_rented_houses_owned_by_local_government |
Number of rented houses owned by local government | float | 0% | 1 | 1760200.0 |
H132101_Number_of_rented_houses_owned_by_local_government_time |
Number of rented houses owned by local government (survey year) | float | 0% | 1 | 2023 |
H132102_Number_of_rented_houses_owned_by_Urban_Renaissance_A |
Number of rented houses owned by Urban Renaissance A | float | 0% | 1 | 716000.0 |
H132102_Number_of_rented_houses_owned_by_Urban_Renaissance_A_time |
Number of rented houses owned by Urban Renaissance A (survey year) | float | 0% | 1 | 2023 |
H1322_Number_of_rented_houses_owned_privately |
Number of rented houses owned privately | float | 0% | 1 | 15683500.0 |
H1322_Number_of_rented_houses_owned_privately_time |
Number of rented houses owned privately (survey year) | float | 0% | 1 | 2023 |
H1323_Number_of_issued_houses |
Number of issued houses | float | 0% | 1 | 1302100.0 |
H1323_Number_of_issued_houses_time |
Number of issued houses (survey year) | float | 0% | 1 | 2023 |
H1401_Number_of_detached_houses_Total |
Number of detached houses Total | float | 0% | 1 | 29319400.0 |
H1401_Number_of_detached_houses_Total_time |
Number of detached houses Total (survey year) | float | 0% | 1 | 2023 |
H140101_Number_of_detached_houses_Wooden |
Number of detached houses Wooden | float | 0% | 1 | 25780500.0 |
| +412 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN e-Stat - Population Wide (admin_0)
— 1 rows, 88 columns
Loading data…
Field details — 88 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | float | SEL | 0% | 1 | 00000 |
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | JPN |
A1101_Total_population_Both_sexes |
Total population Both sexes | float | SEL | 0% | 1 | 123802000.0 |
A110101_Total_population_Male |
Total population Male | float | SEL | 0% | 1 | 60233000.0 |
A110102_Total_population_Female |
Total population Female | float | SEL | 0% | 1 | 63569000.0 |
population_0_14 |
Population aged 0-14 (derived) | integer | SEL | 0% | 1 | 13829000 |
population_60_plus |
Population aged 60 and over (derived) | integer | SEL | 0% | 1 | 43817000 |
Extension Fields (81)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
A1101_Total_population_Both_sexes_time |
Total population Both sexes (survey year) | float | 0% | 1 | 2024 |
A110101_Total_population_Male_time |
Total population Male (survey year) | float | 0% | 1 | 2024 |
A110102_Total_population_Female_time |
Total population Female (survey year) | float | 0% | 1 | 2024 |
A1102_Japanese_population_Both_sexes |
Japanese population Both sexes | float | 0% | 1 | 120296000.0 |
A1102_Japanese_population_Both_sexes_time |
Japanese population Both sexes (survey year) | float | 0% | 1 | 2024 |
A110201_Japanese_population_Male |
Japanese population Male | float | 0% | 1 | 58450000.0 |
A110201_Japanese_population_Male_time |
Japanese population Male (survey year) | float | 0% | 1 | 2024 |
A110202_Japanese_population_Female |
Japanese population Female | float | 0% | 1 | 61846000.0 |
A110202_Japanese_population_Female_time |
Japanese population Female (survey year) | float | 0% | 1 | 2024 |
A1201_Population_0-4,_Total |
Population 0-4, Total | float | 0% | 1 | 3934000.0 |
A1201_Population_0-4,_Total_time |
Population 0-4, Total (survey year) | float | 0% | 1 | 2024 |
A120101_Population_0-4,_Male |
Population 0-4, Male | float | 0% | 1 | 2015000.0 |
A120101_Population_0-4,_Male_time |
Population 0-4, Male (survey year) | float | 0% | 1 | 2024 |
A120102_Population_0-4,_Female |
Population 0-4, Female | float | 0% | 1 | 1920000.0 |
A120102_Population_0-4,_Female_time |
Population 0-4, Female (survey year) | float | 0% | 1 | 2024 |
A1202_Population_5-9,_Total |
Population 5-9, Total | float | 0% | 1 | 4710000.0 |
A1202_Population_5-9,_Total_time |
Population 5-9, Total (survey year) | float | 0% | 1 | 2024 |
A120201_Population_5-9,_Male |
Population 5-9, Male | float | 0% | 1 | 2412000.0 |
A120201_Population_5-9,_Male_time |
Population 5-9, Male (survey year) | float | 0% | 1 | 2024 |
A120202_Population_5-9,_Female |
Population 5-9, Female | float | 0% | 1 | 2298000.0 |
A120202_Population_5-9,_Female_time |
Population 5-9, Female (survey year) | float | 0% | 1 | 2024 |
A1203_Population_10-14,_Total |
Population 10-14, Total | float | 0% | 1 | 5185000.0 |
A1203_Population_10-14,_Total_time |
Population 10-14, Total (survey year) | float | 0% | 1 | 2024 |
A120301_Population_10-14,_Male |
Population 10-14, Male | float | 0% | 1 | 2657000.0 |
A120301_Population_10-14,_Male_time |
Population 10-14, Male (survey year) | float | 0% | 1 | 2024 |
A120302_Population_10-14,_Female |
Population 10-14, Female | float | 0% | 1 | 2528000.0 |
A120302_Population_10-14,_Female_time |
Population 10-14, Female (survey year) | float | 0% | 1 | 2024 |
A1204_Population_15-19,_Total |
Population 15-19, Total | float | 0% | 1 | 5457000.0 |
A1204_Population_15-19,_Total_time |
Population 15-19, Total (survey year) | float | 0% | 1 | 2024 |
A120401_Population_15-19,_Male |
Population 15-19, Male | float | 0% | 1 | 2799000.0 |
| +51 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN e-Stat - Relative Poverty
— 14 rows, 12 columns
Loading data…
Field details — 12 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
relative_poverty_rate_pct |
relative poverty rate pct | float | SEL | 0% | 11 | 12.0, 13.2, 13.5, 13.8, 14.6 |
child_poverty_rate_pct |
child poverty rate pct | float | SEL | 0% | 14 | 10.9, 12.9, 12.8, 12.2, 13.4 |
Extension Fields (9)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 13 | 1985, 1988, 1991, 1994, 1997 |
income_basis |
income basis | string | 0% | 3 | , , , , |
poverty_rate__working_hh_with_children |
poverty rate working hh with children | float | 0% | 13 | 10.3, 11.9, 11.6, 11.3, 12.2 |
poverty_rate__working_hh_single_adult |
poverty rate working hh single adult | float | 0% | 13 | 54.5, 51.4, 50.1, 53.5, 63.1 |
poverty_rate__working_hh_two_plus_adults |
poverty rate working hh two plus adults | float | 0% | 11 | 9.6, 11.1, 10.7, 10.2, 10.8 |
median_income_man_yen_nominal |
median income man yen nominal | float | 0% | 12 | 216.0, 227.0, 270.0, 289.0, 297.0 |
poverty_line_man_yen_nominal |
poverty line man yen nominal | float | 0% | 11 | 108.0, 114.0, 135.0, 144.0, 149.0 |
median_income_man_yen_real |
median income man yen real | float | 0% | 13 | 216.0, 226.0, 246.0, 255.0, 259.0 |
poverty_line_man_yen_real |
poverty line man yen real | float | 0% | 12 | 108.0, 113.0, 123.0, 127.0, 130.0 |
JPN e-Stat - Municipal Economic Census (admin_0)
— 1 rows, 24 columns
Loading data…
Field details — 24 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN |
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | integer | SEL | 0% | 1 | 00000 |
area_name |
Geographic-area English name as returned by e-Stat | string | SEL | 0% | 1 | Japan |
admin_level |
Administrative level (admin_0..admin_4) | string | SEL | 0% | 1 | admin_0 |
Number_of_establishments_Total |
Number of establishments Total | float | SEL | 0% | 1 | 5211445.0 |
Number_of_persons_engaged_Male_and_Female_Total |
Number of persons engaged Male and Female Total | float | SEL | 0% | 1 | 61935849.0 |
Extension Fields (8)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Total |
Number of establishments Including establishments not reported their industry et Total | float | 0% | 1 | 5995257.0 |
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Privately_owned |
Number of establishments Including establishments not reported their industry et Privately owned | float | 0% | 1 | 5862429.0 |
Number_of_establishments_Privately_owned |
Number of establishments Privately owned | float | 0% | 1 | 5078617.0 |
Number_of_persons_engaged_Male_and_Female_Privately_owned |
Number of persons engaged Male and Female Privately owned | float | 0% | 1 | 57457856.0 |
Number_of_persons_engaged_Male_Total |
Number of persons engaged Male Total | float | 0% | 1 | 34131304.0 |
Number_of_persons_engaged_Male_Privately_owned |
Number of persons engaged Male Privately owned | float | 0% | 1 | 31704141.0 |
Number_of_persons_engaged_Female_Total |
Number of persons engaged Female Total | float | 0% | 1 | 27416743.0 |
Number_of_persons_engaged_Female_Privately_owned |
Number of persons engaged Female Privately owned | float | 0% | 1 | 25365913.0 |
Pending (10) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Total_time |
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Total_time | integer | 0% | 1 | 2021 |
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Privately_owned_time |
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Privately_owned_time | integer | 0% | 1 | 2021 |
Number_of_establishments_Total_time |
Number_of_establishments_Total_time | integer | 0% | 1 | 2021 |
Number_of_establishments_Privately_owned_time |
Number_of_establishments_Privately_owned_time | integer | 0% | 1 | 2021 |
Number_of_persons_engaged_Male_and_Female_Total_time |
Number_of_persons_engaged_Male_and_Female_Total_time | integer | 0% | 1 | 2021 |
Number_of_persons_engaged_Male_and_Female_Privately_owned_time |
Number_of_persons_engaged_Male_and_Female_Privately_owned_time | integer | 0% | 1 | 2021 |
Number_of_persons_engaged_Male_Total_time |
Number_of_persons_engaged_Male_Total_time | integer | 0% | 1 | 2021 |
Number_of_persons_engaged_Male_Privately_owned_time |
Number_of_persons_engaged_Male_Privately_owned_time | integer | 0% | 1 | 2021 |
Number_of_persons_engaged_Female_Total_time |
Number_of_persons_engaged_Female_Total_time | integer | 0% | 1 | 2021 |
Number_of_persons_engaged_Female_Privately_owned_time |
Number_of_persons_engaged_Female_Privately_owned_time | integer | 0% | 1 | 2021 |
JPN e-Stat - Municipal Pop Age Marital (admin_0)
— 1 rows, 1,732 columns
Loading data…
Field details — 1732 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN |
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | integer | SEL | 0% | 1 | 00000 |
area_name |
Geographic-area English name as returned by e-Stat | string | SEL | 0% | 1 | Japan |
admin_level |
Administrative level (admin_0..admin_4) | string | SEL | 0% | 1 | admin_0 |
Extension Fields (864)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Population_Total_Total_Total_Total |
Population Total Total Total Total | float | 0% | 1 | 75069522.0 |
Population_Total_Total_Total_15_19_years_old |
Population Total Total Total 15 19 years old | float | 0% | 1 | 3973139.0 |
Population_Total_Total_Total_20_24_years_old |
Population Total Total Total 20 24 years old | float | 0% | 1 | 4542266.0 |
Population_Total_Total_Total_25_29_years_old |
Population Total Total Total 25 29 years old | float | 0% | 1 | 4637686.0 |
Population_Total_Total_Total_30_34_years_old |
Population Total Total Total 30 34 years old | float | 0% | 1 | 4861469.0 |
Population_Total_Total_Total_35_39_years_old |
Population Total Total Total 35 39 years old | float | 0% | 1 | 5365617.0 |
Population_Total_Total_Total_40_44_years_old |
Population Total Total Total 40 44 years old | float | 0% | 1 | 6024226.0 |
Population_Total_Total_Total_45_49_years_old |
Population Total Total Total 45 49 years old | float | 0% | 1 | 7056057.0 |
Population_Total_Total_Total_50_54_years_old |
Population Total Total Total 50 54 years old | float | 0% | 1 | 6229185.0 |
Population_Total_Total_Total_55_59_years_old |
Population Total Total Total 55 59 years old | float | 0% | 1 | 5422520.0 |
Population_Total_Total_Total_60_64_years_old |
Population Total Total Total 60 64 years old | float | 0% | 1 | 4724151.0 |
Population_Total_Total_Total_65_69_years_old |
Population Total Total Total 65 69 years old | float | 0% | 1 | 5046796.0 |
Population_Total_Total_Total_70_74_years_old |
Population Total Total Total 70 74 years old | float | 0% | 1 | 5786980.0 |
Population_Total_Total_Total_75_79_years_old |
Population Total Total Total 75 79 years old | float | 0% | 1 | 4549961.0 |
Population_Total_Total_Total_80_84_years_old |
Population Total Total Total 80 84 years old | float | 0% | 1 | 3370406.0 |
Population_Total_Total_Total_85_89_years_old |
Population Total Total Total 85 89 years old | float | 0% | 1 | 2202466.0 |
Population_Total_Total_Total_90_94_years_old |
Population Total Total Total 90 94 years old | float | 0% | 1 | 983383.0 |
Population_Total_Total_Total_95_99_years_old |
Population Total Total Total 95 99 years old | float | 0% | 1 | 253476.0 |
Population_Total_Total_Total_100_years_old_and_over |
Population Total Total Total 100 years old and over | float | 0% | 1 | 39738.0 |
Population_Total_Total_Total_Recount_15_64_years_old |
Population Total Total Total Recount 15 64 years old | float | 0% | 1 | 52836316.0 |
Population_Total_Total_Total_Recount_65_years_old_and_over |
Population Total Total Total Recount 65 years old and over | float | 0% | 1 | 22233206.0 |
Population_Total_Total_Total_Recount_75_years_old_and_over |
Population Total Total Total Recount 75 years old and over | float | 0% | 1 | 11399430.0 |
Population_Total_Total_Total_Recount_85_years_old_and_over |
Population Total Total Total Recount 85 years old and over | float | 0% | 1 | 3479063.0 |
Population_Total_Total_Total_Recount_20_69_years_old |
Population Total Total Total Recount 20 69 years old | float | 0% | 1 | 53909973.0 |
Population_Total_Total_Never_married_Total |
Population Total Total Never married Total | float | 0% | 1 | 20616956.0 |
Population_Total_Total_Never_married_15_19_years_old |
Population Total Total Never married 15 19 years old | float | 0% | 1 | 3932592.0 |
Population_Total_Total_Never_married_20_24_years_old |
Population Total Total Never married 20 24 years old | float | 0% | 1 | 3943793.0 |
Population_Total_Total_Never_married_25_29_years_old |
Population Total Total Never married 25 29 years old | float | 0% | 1 | 2806702.0 |
Population_Total_Total_Never_married_30_34_years_old |
Population Total Total Never married 30 34 years old | float | 0% | 1 | 1824428.0 |
Population_Total_Total_Never_married_35_39_years_old |
Population Total Total Never married 35 39 years old | float | 0% | 1 | 1434356.0 |
| +834 more extension fields — download the CSV/Parquet to see them all. | |||||
Pending (864) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Population_Total_Total_Total_Total_time |
Population_Total_Total_Total_Total_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_15_19_years_old_time |
Population_Total_Total_Total_15_19_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_20_24_years_old_time |
Population_Total_Total_Total_20_24_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_25_29_years_old_time |
Population_Total_Total_Total_25_29_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_30_34_years_old_time |
Population_Total_Total_Total_30_34_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_35_39_years_old_time |
Population_Total_Total_Total_35_39_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_40_44_years_old_time |
Population_Total_Total_Total_40_44_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_45_49_years_old_time |
Population_Total_Total_Total_45_49_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_50_54_years_old_time |
Population_Total_Total_Total_50_54_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_55_59_years_old_time |
Population_Total_Total_Total_55_59_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_60_64_years_old_time |
Population_Total_Total_Total_60_64_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_65_69_years_old_time |
Population_Total_Total_Total_65_69_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_70_74_years_old_time |
Population_Total_Total_Total_70_74_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_75_79_years_old_time |
Population_Total_Total_Total_75_79_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_80_84_years_old_time |
Population_Total_Total_Total_80_84_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_85_89_years_old_time |
Population_Total_Total_Total_85_89_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_90_94_years_old_time |
Population_Total_Total_Total_90_94_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_95_99_years_old_time |
Population_Total_Total_Total_95_99_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_100_years_old_and_over_time |
Population_Total_Total_Total_100_years_old_and_over_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_Recount_15_64_years_old_time |
Population_Total_Total_Total_Recount_15_64_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_Recount_65_years_old_and_over_time |
Population_Total_Total_Total_Recount_65_years_old_and_over_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_Recount_75_years_old_and_over_time |
Population_Total_Total_Total_Recount_75_years_old_and_over_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_Recount_85_years_old_and_over_time |
Population_Total_Total_Total_Recount_85_years_old_and_over_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Total_Recount_20_69_years_old_time |
Population_Total_Total_Total_Recount_20_69_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Never_married_Total_time |
Population_Total_Total_Never_married_Total_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Never_married_15_19_years_old_time |
Population_Total_Total_Never_married_15_19_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Never_married_20_24_years_old_time |
Population_Total_Total_Never_married_20_24_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Never_married_25_29_years_old_time |
Population_Total_Total_Never_married_25_29_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Never_married_30_34_years_old_time |
Population_Total_Total_Never_married_30_34_years_old_time | integer | 0% | 1 | 2020 |
Population_Total_Total_Never_married_35_39_years_old_time |
Population_Total_Total_Never_married_35_39_years_old_time | integer | 0% | 1 | 2020 |
| +834 more pending fields — download the CSV/Parquet to see them all. | |||||
JPN e-Stat - Municipal Population By Sex (admin_0)
— 1 rows, 10 columns
Loading data…
Field details — 10 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN |
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | integer | SEL | 0% | 1 | 00000 |
area_name |
Geographic-area English name as returned by e-Stat | string | SEL | 0% | 1 | Japan |
admin_level |
Administrative level (admin_0..admin_4) | string | SEL | 0% | 1 | admin_0 |
Population_Total |
Population Total | float | SEL | 0% | 1 | 126146099.0 |
Population_Male |
Population Male | float | SEL | 0% | 1 | 61349581.0 |
Population_Female |
Population Female | float | SEL | 0% | 1 | 64796518.0 |
Pending (3) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Population_Total_time |
Population_Total_time | integer | 0% | 1 | 2020 |
Population_Male_time |
Population_Male_time | integer | 0% | 1 | 2020 |
Population_Female_time |
Population_Female_time | integer | 0% | 1 | 2020 |
JPN e-Stat - Ssds E Education (admin_0)
— 1 rows, 984 columns
Loading data…
Field details — 984 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN |
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | integer | SEL | 0% | 1 | 00000 |
area_name |
Geographic-area English name as returned by e-Stat | string | SEL | 0% | 1 | All Japan |
admin_level |
Administrative level (admin_0..admin_4) | string | SEL | 0% | 1 | admin_0 |
Pending (980) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Observation_value_E1101_Number_of_kindergartens |
Observation_value_E1101_Number_of_kindergartens | float | 0% | 1 | 8530.0 |
Observation_value_E1101_Number_of_kindergartens_time |
Observation_value_E1101_Number_of_kindergartens_time | integer | 0% | 1 | 2024 |
Observation_value_E110102_Number_of_kindergartens_Public |
Observation_value_E110102_Number_of_kindergartens_Public | float | 0% | 1 | 2534.0 |
Observation_value_E110102_Number_of_kindergartens_Public_time |
Observation_value_E110102_Number_of_kindergartens_Public_time | integer | 0% | 1 | 2024 |
Observation_value_E1201_Number_of_kindergarten_classes |
Observation_value_E1201_Number_of_kindergarten_classes | float | 0% | 1 | 42329.0 |
Observation_value_E1201_Number_of_kindergarten_classes_time |
Observation_value_E1201_Number_of_kindergarten_classes_time | integer | 0% | 1 | 2024 |
Observation_value_E120101_Number_of_kindergarten_classes_National |
Observation_value_E120101_Number_of_kindergarten_classes_National | float | 0% | 1 | 229.0 |
Observation_value_E120101_Number_of_kindergarten_classes_National_time |
Observation_value_E120101_Number_of_kindergarten_classes_National_time | integer | 0% | 1 | 2008 |
Observation_value_E120102_Number_of_kindergarten_classes_Public |
Observation_value_E120102_Number_of_kindergarten_classes_Public | float | 0% | 1 | 15809.0 |
Observation_value_E120102_Number_of_kindergarten_classes_Public_time |
Observation_value_E120102_Number_of_kindergarten_classes_Public_time | integer | 0% | 1 | 2008 |
Observation_value_E120103_Number_of_kindergarten_classes_Private |
Observation_value_E120103_Number_of_kindergarten_classes_Private | float | 0% | 1 | 56358.0 |
Observation_value_E120103_Number_of_kindergarten_classes_Private_time |
Observation_value_E120103_Number_of_kindergarten_classes_Private_time | integer | 0% | 1 | 2008 |
Observation_value_E1301_Number_of_kindergarten_teachers |
Observation_value_E1301_Number_of_kindergarten_teachers | float | 0% | 1 | 86775.0 |
Observation_value_E1301_Number_of_kindergarten_teachers_time |
Observation_value_E1301_Number_of_kindergarten_teachers_time | integer | 0% | 1 | 2024 |
Observation_value_E130101_Number_of_kindergarten_teachers_Male |
Observation_value_E130101_Number_of_kindergarten_teachers_Male | float | 0% | 1 | 5789.0 |
Observation_value_E130101_Number_of_kindergarten_teachers_Male_time |
Observation_value_E130101_Number_of_kindergarten_teachers_Male_time | integer | 0% | 1 | 2024 |
Observation_value_E130102_Number_of_kindergarten_teachers_Female |
Observation_value_E130102_Number_of_kindergarten_teachers_Female | float | 0% | 1 | 80986.0 |
Observation_value_E130102_Number_of_kindergarten_teachers_Female_time |
Observation_value_E130102_Number_of_kindergarten_teachers_Female_time | integer | 0% | 1 | 2024 |
Observation_value_E1302_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_tea |
Observation_value_E1302_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_tea | float | 0% | 1 | 369.0 |
Observation_value_E1302_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_tea_time |
Observation_value_E1302_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_tea_time | integer | 0% | 1 | 2024 |
Observation_value_E130201_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_t |
Observation_value_E130201_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_t | float | 0% | 1 | 2.0 |
Observation_value_E130201_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_t_time |
Observation_value_E130201_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_t_time | integer | 0% | 1 | 2024 |
Observation_value_E130202_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_t |
Observation_value_E130202_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_t | float | 0% | 1 | 367.0 |
Observation_value_E130202_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_t_time |
Observation_value_E130202_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_t_time | integer | 0% | 1 | 2024 |
Observation_value_E1303_Number_of_kindergarten_teachers_Academic_assistant |
Observation_value_E1303_Number_of_kindergarten_teachers_Academic_assistant | float | 0% | 1 | 3966.0 |
Observation_value_E1303_Number_of_kindergarten_teachers_Academic_assistant_time |
Observation_value_E1303_Number_of_kindergarten_teachers_Academic_assistant_time | integer | 0% | 1 | 2024 |
Observation_value_E130301_Number_of_kindergarten_teachers_Academic_assistant_Male |
Observation_value_E130301_Number_of_kindergarten_teachers_Academic_assistant_Male | float | 0% | 1 | 351.0 |
Observation_value_E130301_Number_of_kindergarten_teachers_Academic_assistant_Male_time |
Observation_value_E130301_Number_of_kindergarten_teachers_Academic_assistant_Male_time | integer | 0% | 1 | 2024 |
Observation_value_E130302_Number_of_kindergarten_teachers_Academic_assistant_Female |
Observation_value_E130302_Number_of_kindergarten_teachers_Academic_assistant_Female | float | 0% | 1 | 3615.0 |
Observation_value_E130302_Number_of_kindergarten_teachers_Academic_assistant_Female_time |
Observation_value_E130302_Number_of_kindergarten_teachers_Academic_assistant_Female_time | integer | 0% | 1 | 2024 |
| +950 more pending fields — download the CSV/Parquet to see them all. | |||||
JPN e-Stat - Ssds I Health (admin_0)
— 1 rows, 814 columns
Loading data…
Field details — 814 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN |
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | integer | SEL | 0% | 1 | 00000 |
area_name |
Geographic-area English name as returned by e-Stat | string | SEL | 0% | 1 | All Japan |
admin_level |
Administrative level (admin_0..admin_4) | string | SEL | 0% | 1 | admin_0 |
Pending (810) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Observation_value_I1101_Life_expectancy_0_years_old_Male |
Observation_value_I1101_Life_expectancy_0_years_old_Male | float | 0% | 1 | 81.56 |
Observation_value_I1101_Life_expectancy_0_years_old_Male_time |
Observation_value_I1101_Life_expectancy_0_years_old_Male_time | integer | 0% | 1 | 2020 |
Observation_value_I1102_Life_expectancy_0_years_old_Female |
Observation_value_I1102_Life_expectancy_0_years_old_Female | float | 0% | 1 | 87.71 |
Observation_value_I1102_Life_expectancy_0_years_old_Female_time |
Observation_value_I1102_Life_expectancy_0_years_old_Female_time | integer | 0% | 1 | 2020 |
Observation_value_I1201_Life_expectancy_20_years_old_Male |
Observation_value_I1201_Life_expectancy_20_years_old_Male | float | 0% | 1 | 61.9 |
Observation_value_I1201_Life_expectancy_20_years_old_Male_time |
Observation_value_I1201_Life_expectancy_20_years_old_Male_time | integer | 0% | 1 | 2020 |
Observation_value_I1202_Life_expectancy_20_years_old_Female |
Observation_value_I1202_Life_expectancy_20_years_old_Female | float | 0% | 1 | 68.01 |
Observation_value_I1202_Life_expectancy_20_years_old_Female_time |
Observation_value_I1202_Life_expectancy_20_years_old_Female_time | integer | 0% | 1 | 2020 |
Observation_value_I1301_Life_expectancy_40_years_old_Male |
Observation_value_I1301_Life_expectancy_40_years_old_Male | float | 0% | 1 | 42.5 |
Observation_value_I1301_Life_expectancy_40_years_old_Male_time |
Observation_value_I1301_Life_expectancy_40_years_old_Male_time | integer | 0% | 1 | 2020 |
Observation_value_I1302_Life_expectancy_40_years_old_Female |
Observation_value_I1302_Life_expectancy_40_years_old_Female | float | 0% | 1 | 48.37 |
Observation_value_I1302_Life_expectancy_40_years_old_Female_time |
Observation_value_I1302_Life_expectancy_40_years_old_Female_time | integer | 0% | 1 | 2020 |
Observation_value_I1401_Life_expectancy_60_years_old_Male |
Observation_value_I1401_Life_expectancy_60_years_old_Male | float | 0% | 1 | 24.12 |
Observation_value_I1401_Life_expectancy_60_years_old_Male_time |
Observation_value_I1401_Life_expectancy_60_years_old_Male_time | integer | 0% | 1 | 2020 |
Observation_value_I1402_Life_expectancy_60_years_old_Female |
Observation_value_I1402_Life_expectancy_60_years_old_Female | float | 0% | 1 | 29.42 |
Observation_value_I1402_Life_expectancy_60_years_old_Female_time |
Observation_value_I1402_Life_expectancy_60_years_old_Female_time | integer | 0% | 1 | 2020 |
Observation_value_I1501_Life_expectancy_65_years_old_Male |
Observation_value_I1501_Life_expectancy_65_years_old_Male | float | 0% | 1 | 19.97 |
Observation_value_I1501_Life_expectancy_65_years_old_Male_time |
Observation_value_I1501_Life_expectancy_65_years_old_Male_time | integer | 0% | 1 | 2020 |
Observation_value_I1502_Life_expectancy_65_years_old_Female |
Observation_value_I1502_Life_expectancy_65_years_old_Female | float | 0% | 1 | 24.88 |
Observation_value_I1502_Life_expectancy_65_years_old_Female_time |
Observation_value_I1502_Life_expectancy_65_years_old_Female_time | integer | 0% | 1 | 2020 |
Observation_value_I1601_Healthy_life_expectancy_Male |
Observation_value_I1601_Healthy_life_expectancy_Male | float | 0% | 1 | 72.68 |
Observation_value_I1601_Healthy_life_expectancy_Male_time |
Observation_value_I1601_Healthy_life_expectancy_Male_time | integer | 0% | 1 | 2019 |
Observation_value_I1602_Healthy_life_expectancy_Female |
Observation_value_I1602_Healthy_life_expectancy_Female | float | 0% | 1 | 75.38 |
Observation_value_I1602_Healthy_life_expectancy_Female_time |
Observation_value_I1602_Healthy_life_expectancy_Female_time | integer | 0% | 1 | 2019 |
Observation_value_I210101_Number_of_persons_undergoing_medical_inspections_at_health_care_centers_ |
Observation_value_I210101_Number_of_persons_undergoing_medical_inspections_at_health_care_centers_ | float | 0% | 1 | 7188137.0 |
Observation_value_I210101_Number_of_persons_undergoing_medical_inspections_at_health_care_centers__time |
Observation_value_I210101_Number_of_persons_undergoing_medical_inspections_at_health_care_centers__time | integer | 0% | 1 | 2023 |
Observation_value_I210104_Number_of_persons_undergoing_medical_inspections_at_health_care_centers_ |
Observation_value_I210104_Number_of_persons_undergoing_medical_inspections_at_health_care_centers_ | float | 0% | 1 | 3305958.0 |
Observation_value_I210104_Number_of_persons_undergoing_medical_inspections_at_health_care_centers__time |
Observation_value_I210104_Number_of_persons_undergoing_medical_inspections_at_health_care_centers__time | integer | 0% | 1 | 2023 |
Observation_value_I210110_Number_of_persons_undergoing_medical_inspections_at_health_care_centers |
Observation_value_I210110_Number_of_persons_undergoing_medical_inspections_at_health_care_centers | float | 0% | 1 | 1415128.0 |
Observation_value_I210110_Number_of_persons_undergoing_medical_inspections_at_health_care_centers_time |
Observation_value_I210110_Number_of_persons_undergoing_medical_inspections_at_health_care_centers_time | integer | 0% | 1 | 2023 |
| +780 more pending fields — download the CSV/Parquet to see them all. | |||||
JPN e-Stat — SSDS D. Administrative base — basic data (admin_0)
— 1 rows, 396 columns
Loading data…
Field details — 396 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN |
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | integer | SEL | 0% | 1 | 00000 |
area_name |
Geographic-area English name as returned by e-Stat | string | SEL | 0% | 1 | All Japan |
admin_level |
Administrative level (admin_0..admin_4) | string | SEL | 0% | 1 | admin_0 |
Pending (392) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Observation_value_D110101_Number_of_cities_towns_and_villages |
Number of cities, towns and villages | float | 0% | 1 | 1741.0 |
Observation_value_D110101_Number_of_cities_towns_and_villages_time |
Number of cities, towns and villages (survey year) | integer | 0% | 1 | 2024 |
Observation_value_D110102_Number_of_cities_and_wards |
Number of cities and wards | float | 0% | 1 | 986.0 |
Observation_value_D110102_Number_of_cities_and_wards_time |
Number of cities and wards (survey year) | integer | 0% | 1 | 2024 |
Observation_value_D110103_Number_of_towns_and_villages |
Number of towns and villages | float | 0% | 1 | 926.0 |
Observation_value_D110103_Number_of_towns_and_villages_time |
Number of towns and villages (survey year) | integer | 0% | 1 | 2024 |
Observation_value_D1201_Number_of_general_personnel_Prefecture |
Number of general personnel Prefecture | float | 0% | 1 | 238199.0 |
Observation_value_D1201_Number_of_general_personnel_Prefecture_time |
Number of general personnel Prefecture (survey year) | integer | 0% | 1 | 2024 |
Observation_value_D1202_Number_of_general_personnel_Municipality |
Number of general personnel Municipality | float | 0% | 1 | 709421.0 |
Observation_value_D1202_Number_of_general_personnel_Municipality_time |
Number of general personnel Municipality (survey year) | integer | 0% | 1 | 2024 |
Observation_value_D1203_Number_of_fire_service_personnel |
Number of fire service personnel | float | 0% | 1 | 165343.0 |
Observation_value_D1203_Number_of_fire_service_personnel_time |
Number of fire service personnel (survey year) | integer | 0% | 1 | 2024 |
Observation_value_D1204_Number_of_educational_service_personnel |
Number of educational service personnel | float | 0% | 1 | 1069060.0 |
Observation_value_D1204_Number_of_educational_service_personnel_time |
Number of educational service personnel (survey year) | integer | 0% | 1 | 2024 |
Observation_value_D1205_Number_of_police_personnel |
Number of police personnel | float | 0% | 1 | 287631.0 |
Observation_value_D1205_Number_of_police_personnel_time |
Number of police personnel (survey year) | integer | 0% | 1 | 2024 |
Observation_value_D1206_Number_of_public_businesses_account_personnel |
Number of public businesses account personnel | float | 0% | 1 | 342095.0 |
Observation_value_D1206_Number_of_public_businesses_account_personnel_time |
Number of public businesses account personnel (survey year) | integer | 0% | 1 | 2024 |
Observation_value_D1210_Number_of_prefectural_assembly_members |
Number of prefectural assembly members | float | 0% | 1 | 2614.0 |
Observation_value_D1210_Number_of_prefectural_assembly_members_time |
Number of prefectural assembly members (survey year) | integer | 0% | 1 | 2024 |
Observation_value_D1211_Number_of_municipal_assembly_members |
Number of municipal assembly members | float | 0% | 1 | 18389.0 |
Observation_value_D1211_Number_of_municipal_assembly_members_time |
Number of municipal assembly members (survey year) | integer | 0% | 1 | 2024 |
Observation_value_D1212_Number_of_electoral_roll_subscribers |
Number of electoral roll subscribers | float | 0% | 1 | 104074483.0 |
Observation_value_D1212_Number_of_electoral_roll_subscribers_time |
Number of electoral roll subscribers (survey year) | integer | 0% | 1 | 2024 |
Observation_value_D2101_Financial_power_index_Prefecture |
Financial power index Prefecture | float | 0% | 1 | 0.49378 |
Observation_value_D2101_Financial_power_index_Prefecture_time |
Financial power index Prefecture (survey year) | integer | 0% | 1 | 2022 |
Observation_value_D2102_Real_term_balance_of_revenue_to_expenditure_Prefecture |
Real term balance of revenue to expenditure Prefecture | float | 0% | 1 | 3.1 |
Observation_value_D2102_Real_term_balance_of_revenue_to_expenditure_Prefecture_time |
Real term balance of revenue to expenditure Prefecture (survey year) | integer | 0% | 1 | 2022 |
Observation_value_D2103_Real_term_of_current_balance_Prefecture |
Real term of current balance Prefecture | float | 0% | 1 | 93.3 |
Observation_value_D2103_Real_term_of_current_balance_Prefecture_time |
Real term of current balance Prefecture (survey year) | integer | 0% | 1 | 2022 |
| +362 more pending fields — download the CSV/Parquet to see them all. | |||||
JPN e-Stat — SSDS D. Administrative base — social indicators (admin_0)
— 1 rows, 104 columns
Loading data…
Field details — 104 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN |
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | integer | SEL | 0% | 1 | 00000 |
area_name |
Geographic-area English name as returned by e-Stat | string | SEL | 0% | 1 | All Japan |
admin_level |
Administrative level (admin_0..admin_4) | string | SEL | 0% | 1 | admin_0 |
Pending (100) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Observation_value_D0110101_Financial_power_index_Prefecture |
Financial power index Prefecture | float | 0% | 1 | 0.494 |
Observation_value_D0110101_Financial_power_index_Prefecture_time |
Financial power index Prefecture (survey year) | integer | 0% | 1 | 2022 |
Observation_value_D01102_Real_term_balance_of_revenue_to_expenditure_Prefecture |
Real term balance of revenue to expenditure Prefectu | float | 0% | 1 | 3.1 |
Observation_value_D01102_Real_term_balance_of_revenue_to_expenditure_Prefecture_time |
Real term balance of revenue to expenditure Prefectu (survey year) | integer | 0% | 1 | 2022 |
Observation_value_D0120101_Percentage_of_self_financial_resources_Prefecture |
Percentage of self-financial resources Prefecture | float | 0% | 1 | 55.9 |
Observation_value_D0120101_Percentage_of_self_financial_resources_Prefecture_time |
Percentage of self-financial resources Prefecture (survey year) | integer | 0% | 1 | 2022 |
Observation_value_D0130201_Percentage_of_outstanding_amount_of_local_bonds_to_expenditure_Prefectu |
Percentage of outstanding amount of local bonds to | float | 0% | 1 | 139.4 |
Observation_value_D0130201_Percentage_of_outstanding_amount_of_local_bonds_to_expenditure_Prefectu_time |
Percentage of outstanding amount of local bonds to (survey year) | integer | 0% | 1 | 2022 |
Observation_value_D01401_Real_term_of_current_balance_Prefecture |
Real term of current balance Prefecture | float | 0% | 1 | 93.3 |
Observation_value_D01401_Real_term_of_current_balance_Prefecture_time |
Real term of current balance Prefecture (survey year) | integer | 0% | 1 | 2022 |
Observation_value_D0140201_Percentage_of_investment_expenditure_Prefecture |
Percentage of investment expenditure Prefecture | float | 0% | 1 | 13.1 |
Observation_value_D0140201_Percentage_of_investment_expenditure_Prefecture_time |
Percentage of investment expenditure Prefecture (survey year) | integer | 0% | 1 | 2022 |
Observation_value_D0140301_Percentage_of_revenues_from_local_taxes_and_grants_Prefecture |
Percentage of revenues from local taxes and grants | float | 0% | 1 | 56.8 |
Observation_value_D0140301_Percentage_of_revenues_from_local_taxes_and_grants_Prefecture_time |
Percentage of revenues from local taxes and grants (survey year) | integer | 0% | 1 | 2022 |
Observation_value_D0210101_Percentage_of_local_taxes_Prefecture |
Percentage of local taxes Prefecture | float | 0% | 1 | 36.29 |
Observation_value_D0210101_Percentage_of_local_taxes_Prefecture_time |
Percentage of local taxes Prefecture (survey year) | integer | 0% | 1 | 2022 |
Observation_value_D0210201_Percentage_of_grants_to_local_governments_Prefecture |
Percentage of grants to local governments Prefectu | float | 0% | 1 | 14.95 |
Observation_value_D0210201_Percentage_of_grants_to_local_governments_Prefecture_time |
Percentage of grants to local governments Prefectu (survey year) | integer | 0% | 1 | 2022 |
Observation_value_D0210301_Percentage_of_national_disbursements_Prefecture |
Percentage of national disbursements Prefecture | float | 0% | 1 | 19.88 |
Observation_value_D0210301_Percentage_of_national_disbursements_Prefecture_time |
Percentage of national disbursements Prefecture (survey year) | integer | 0% | 1 | 2022 |
Observation_value_D0220103_Resident_tax_per_capita_Prefecture_Municipality |
Resident tax per capita Prefecture + Municipality | float | 0% | 1 | 129.5 |
Observation_value_D0220103_Resident_tax_per_capita_Prefecture_Municipality_time |
Resident tax per capita Prefecture + Municipality (survey year) | integer | 0% | 1 | 2022 |
Observation_value_D02202_Fixed_assets_tax_per_capita_Prefecture_Municipality |
Fixed assets tax per capita Prefecture + Municipalit | float | 0% | 1 | 77.4 |
Observation_value_D02202_Fixed_assets_tax_per_capita_Prefecture_Municipality_time |
Fixed assets tax per capita Prefecture + Municipalit (survey year) | integer | 0% | 1 | 2022 |
Observation_value_D02204_Amount_of_national_tax_per_capita |
Amount of national tax per capita | float | 0% | 1 | 704.7 |
Observation_value_D02204_Amount_of_national_tax_per_capita_time |
Amount of national tax per capita (survey year) | integer | 0% | 1 | 2023 |
Observation_value_D02206_Taxable_income_per_tax_debtor |
Taxable income per tax debtor | float | 0% | 1 | 3933.7 |
Observation_value_D02206_Taxable_income_per_tax_debtor_time |
Taxable income per tax debtor (survey year) | integer | 0% | 1 | 2024 |
Observation_value_D02207_Ratio_of_taxpayer_per_capita |
Ratio of taxpayer per capita | float | 0% | 1 | 46.2 |
Observation_value_D02207_Ratio_of_taxpayer_per_capita_time |
Ratio of taxpayer per capita (survey year) | integer | 0% | 1 | 2024 |
| +70 more pending fields — download the CSV/Parquet to see them all. | |||||
1
Admin 1
— 12 table(s)
JPN e-Stat — SSDS D. Administrative base — social indicators (admin_1) — SUPERSEDED: partial copy under the wrong name 'demographics_wide', 98 of 104 columns; use ssds_d_social_indicators
— 47 rows, 98 columns
Loading data…
Field details — 98 fields (type, nulls, unique, samples)
Standards-Aligned Fields (2)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | float | SEL | 0% | 47 | 01000, 02000, 03000, 04000, 05000 |
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
Extension Fields (96)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
#D0110101_Financial_power_index_Prefecture |
Financial power index Prefecture | float | 0% | 44 | 0.444, 0.342, 0.354, 0.591, 0.309 |
#D0110101_Financial_power_index_Prefecture_time |
Financial power index Prefecture (survey year) | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
#D01102_Real_term_balance_of_revenue_to_expenditure_Prefectu |
Real term balance of revenue to expenditure Prefectu | float | 0% | 34 | 2.0, 2.1, 5.1, 2.8, 4.5 |
#D01102_Real_term_balance_of_revenue_to_expenditure_Prefectu_time |
Real term balance of revenue to expenditure Prefectu (survey year) | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
#D0120101_Percentage_of_self-financial_resources_Prefecture |
Percentage of self-financial resources Prefecture | float | 0% | 44 | 42.4, 40.2, 47.3, 55.5, 35.8 |
#D0120101_Percentage_of_self-financial_resources_Prefecture_time |
Percentage of self-financial resources Prefecture (survey year) | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
#D0130201_Percentage_of_outstanding_amount_of_local_bonds_to |
Percentage of outstanding amount of local bonds to | float | 0% | 45 | 188.9, 120.8, 158.2, 135.1, 193.7 |
#D0130201_Percentage_of_outstanding_amount_of_local_bonds_to_time |
Percentage of outstanding amount of local bonds to (survey year) | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
#D01401_Real_term_of_current_balance_Prefecture |
Real term of current balance Prefecture | float | 0% | 41 | 98.1, 94.5, 94.2, 96.4, 90.4 |
#D01401_Real_term_of_current_balance_Prefecture_time |
Real term of current balance Prefecture (survey year) | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
#D0140201_Percentage_of_investment_expenditure_Prefecture |
Percentage of investment expenditure Prefecture | float | 0% | 40 | 15.8, 19.2, 16.5, 15.6, 22.2 |
#D0140201_Percentage_of_investment_expenditure_Prefecture_time |
Percentage of investment expenditure Prefecture (survey year) | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
#D0140301_Percentage_of_revenues_from_local_taxes_and_grants |
Percentage of revenues from local taxes and grants | float | 0% | 37 | 49.9, 56.7, 51.7, 50.7, 55.8 |
#D0140301_Percentage_of_revenues_from_local_taxes_and_grants_time |
Percentage of revenues from local taxes and grants (survey year) | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
#D0210101_Percentage_of_local_taxes_Prefecture |
Percentage of local taxes Prefecture | float | 0% | 47 | 24.49, 22.8, 19.21, 30.96, 19.55 |
#D0210101_Percentage_of_local_taxes_Prefecture_time |
Percentage of local taxes Prefecture (survey year) | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
#D0210201_Percentage_of_grants_to_local_governments_Prefectu |
Percentage of grants to local governments Prefectu | float | 0% | 47 | 21.2, 28.61, 26.2, 13.89, 31.37 |
#D0210201_Percentage_of_grants_to_local_governments_Prefectu_time |
Percentage of grants to local governments Prefectu (survey year) | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
#D0210301_Percentage_of_national_disbursements_Prefecture |
Percentage of national disbursements Prefecture | float | 0% | 46 | 24.41, 23.03, 19.34, 21.22, 19.59 |
#D0210301_Percentage_of_national_disbursements_Prefecture_time |
Percentage of national disbursements Prefecture (survey year) | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
#D0220103_Resident_tax_per_capita_Prefecture_+_Municipality |
Resident tax per capita Prefecture + Municipality | float | 0% | 45 | 100.0, 81.3, 89.6, 109.5, 81.8 |
#D0220103_Resident_tax_per_capita_Prefecture_+_Municipality_time |
Resident tax per capita Prefecture + Municipality (survey year) | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
#D02202_Fixed_assets_tax_per_capita_Prefecture_+_Municipalit |
Fixed assets tax per capita Prefecture + Municipalit | float | 0% | 43 | 60.1, 63.0, 66.9, 68.2, 59.1 |
#D02202_Fixed_assets_tax_per_capita_Prefecture_+_Municipalit_time |
Fixed assets tax per capita Prefecture + Municipalit (survey year) | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
#D02204_Amount_of_national_tax_per_capita |
Amount of national tax per capita | float | 0% | 46 | 378.8, 256.6, 242.2, 415.4, 251.3 |
#D02204_Amount_of_national_tax_per_capita_time |
Amount of national tax per capita (survey year) | float | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
#D02206_Taxable_income_per_tax_debtor |
Taxable income per tax debtor | float | 0% | 47 | 3446.5, 3048.6, 3087.4, 3499.5, 3044.2 |
#D02206_Taxable_income_per_tax_debtor_time |
Taxable income per tax debtor (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
#D02207_Ratio_of_taxpayer_per_capita |
Ratio of taxpayer per capita | float | 0% | 37 | 43.6, 42.1, 43.8, 44.8, 41.8 |
#D02207_Ratio_of_taxpayer_per_capita_time |
Ratio of taxpayer per capita (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
| +66 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN e-Stat — SSDS D. Administrative base — basic data (admin_1) — SUPERSEDED: partial copy under the wrong name 'education_wide', 120 of 396 columns; use ssds_d_administrative_base
— 47 rows, 120 columns
Loading data…
Field details — 120 fields (type, nulls, unique, samples)
Standards-Aligned Fields (2)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | float | SEL | 0% | 47 | 01000, 02000, 03000, 04000, 05000 |
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
Extension Fields (118)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
D110101_Number_of_cities,_towns_and_villages |
Number of cities, towns and villages | float | 0% | 30 | 179.0, 40.0, 33.0, 35.0, 25.0 |
D110101_Number_of_cities,_towns_and_villages_time |
Number of cities, towns and villages (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
D110102_Number_of_cities_and_wards |
Number of cities and wards | float | 0% | 23 | 45.0, 10.0, 14.0, 19.0, 13.0 |
D110102_Number_of_cities_and_wards_time |
Number of cities and wards (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
D110103_Number_of_towns_and_villages |
Number of towns and villages | float | 0% | 24 | 144.0, 30.0, 19.0, 21.0, 12.0 |
D110103_Number_of_towns_and_villages_time |
Number of towns and villages (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
D1201_Number_of_general_personnel_Prefecture |
Number of general personnel Prefecture | float | 0% | 47 | 12674.0, 3854.0, 4232.0, 4831.0, 3513.0 |
D1201_Number_of_general_personnel_Prefecture_time |
Number of general personnel Prefecture (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
D1202_Number_of_general_personnel_Municipality |
Number of general personnel Municipality | float | 0% | 47 | 34176.0, 7897.0, 8454.0, 13687.0, 6905.0 |
D1202_Number_of_general_personnel_Municipality_time |
Number of general personnel Municipality (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
D1203_Number_of_fire_service_personnel |
Number of fire service personnel | float | 0% | 47 | 9161.0, 2607.0, 2020.0, 3130.0, 2048.0 |
D1203_Number_of_fire_service_personnel_time |
Number of fire service personnel (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
D1204_Number_of_educational_service_personnel |
Number of educational service personnel | float | 0% | 47 | 51418.0, 11750.0, 13016.0, 21542.0, 9762.0 |
D1204_Number_of_educational_service_personnel_time |
Number of educational service personnel (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
D1205_Number_of_police_personnel |
Number of police personnel | float | 0% | 46 | 11726.0, 2661.0, 2429.0, 4354.0, 2362.0 |
D1205_Number_of_police_personnel_time |
Number of police personnel (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
D1206_Number_of_public_businesses_account_personnel |
Number of public businesses account personnel | float | 0% | 47 | 20821.0, 7896.0, 7575.0, 8436.0, 2945.0 |
D1206_Number_of_public_businesses_account_personnel_time |
Number of public businesses account personnel (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
D1210_Number_of_prefectural_assembly_members |
Number of prefectural assembly members | float | 0% | 30 | 99.0, 48.0, 48.0, 59.0, 40.0 |
D1210_Number_of_prefectural_assembly_members_time |
Number of prefectural assembly members (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
D1211_Number_of_municipal_assembly_members |
Number of municipal assembly members | float | 0% | 46 | 692.0, 221.0, 309.0, 323.0, 266.0 |
D1211_Number_of_municipal_assembly_members_time |
Number of municipal assembly members (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
D1212_Number_of_electoral_roll_subscribers |
Number of electoral roll subscribers | float | 0% | 47 | 4378810.0, 1037676.0, 1002566.0, 1901034.0, 805450.0 |
D1212_Number_of_electoral_roll_subscribers_time |
Number of electoral roll subscribers (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
D2101_Financial_power_index_Prefecture |
Financial power index Prefecture | float | 0% | 47 | 0.44422, 0.34201, 0.35368, 0.59081, 0.3094 |
D2101_Financial_power_index_Prefecture_time |
Financial power index Prefecture (survey year) | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
D2102_Real_term_balance_of_revenue_to_expenditure_Prefecture |
Real term balance of revenue to expenditure Prefecture | float | 0% | 34 | 2.0, 2.1, 5.1, 2.8, 4.5 |
D2102_Real_term_balance_of_revenue_to_expenditure_Prefecture_time |
Real term balance of revenue to expenditure Prefecture (survey year) | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
D2103_Real_term_of_current_balance_Prefecture |
Real term of current balance Prefecture | float | 0% | 41 | 98.1, 94.5, 94.2, 96.4, 90.4 |
D2103_Real_term_of_current_balance_Prefecture_time |
Real term of current balance Prefecture (survey year) | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
| +88 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN e-Stat - Employment Wide (admin_1)
— 47 rows, 684 columns
Loading data…
Field details — 684 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | float | SEL | 0% | 47 | 01000, 02000, 03000, 04000, 05000 |
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
F1101_Population_census_Population_in_labour_force |
Population census Population in labour force | float | SEL | 0% | 47 | 2449395.0, 631696.0, 628881.0, 1130271.0, 483500.0 |
F1107_Population_census_Number_of_unemployed_persons |
Population census Number of unemployed persons | float | SEL | 0% | 47 | 102125.0, 29305.0, 23788.0, 48923.0, 19606.0 |
Extension Fields (680)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
F1101_Population_census_Population_in_labour_force_time |
Population census Population in labour force (survey year) | float | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
F110101_Population_census_Population_in_labour_force_Male |
Population census Population in labour force Male | float | 0% | 47 | 1330807.0, 340826.0, 345726.0, 629922.0, 264047.0 |
F110101_Population_census_Population_in_labour_force_Male_time |
Population census Population in labour force Male (survey year) | float | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
F110102_Population_census_Population_in_labour_force_Female |
Population census Population in labour force Female | float | 0% | 47 | 1118588.0, 290870.0, 283155.0, 500349.0, 219453.0 |
F110102_Population_census_Population_in_labour_force_Female_time |
Population census Population in labour force Female (survey year) | float | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
F1102_Population_census_Number_of_employed_persons |
Population census Number of employed persons | float | 0% | 47 | 2347270.0, 602391.0, 605093.0, 1081348.0, 463894.0 |
F1102_Population_census_Number_of_employed_persons_time |
Population census Number of employed persons (survey year) | float | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
F110201_Population_census_Number_of_employed_persons_Male |
Population census Number of employed persons Male | float | 0% | 47 | 1269990.0, 322282.0, 330246.0, 599389.0, 251051.0 |
F110201_Population_census_Number_of_employed_persons_Male_time |
Population census Number of employed persons Male (survey year) | float | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
F110202_Population_census_Number_of_employed_persons_Female |
Population census Number of employed persons Female | float | 0% | 47 | 1077280.0, 280109.0, 274847.0, 481959.0, 212843.0 |
F110202_Population_census_Number_of_employed_persons_Female_time |
Population census Number of employed persons Female (survey year) | float | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
F1103_Population_census_Number_of_employed_persons,_mainly_w |
Population census Number of employed persons, mainly w | float | 0% | 47 | 1970647.0, 528372.0, 527062.0, 918675.0, 403705.0 |
F1103_Population_census_Number_of_employed_persons,_mainly_w_time |
Population census Number of employed persons, mainly w (survey year) | float | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
F110301_Population_census_Number_of_employed_persons,_mainly |
Population census Number of employed persons, mainly | float | 0% | 47 | 1436470.0, 367711.0, 369980.0, 615692.0, 298878.0 |
F110301_Population_census_Number_of_employed_persons,_mainly_time |
Population census Number of employed persons, mainly (survey year) | float | 0% | 1 | 2005, 2005, 2005, 2005, 2005 |
F110302_Population_census_Number_of_employed_persons,_mainly |
Population census Number of employed persons, mainly | float | 0% | 47 | 734330.0, 219329.0, 213361.0, 316360.0, 168195.0 |
F110302_Population_census_Number_of_employed_persons,_mainly_time |
Population census Number of employed persons, mainly (survey year) | float | 0% | 1 | 2005, 2005, 2005, 2005, 2005 |
F1104_Population_census_Number_of_employed_persons,_working_ |
Population census Number of employed persons, working | float | 0% | 47 | 284760.0, 55268.0, 60650.0, 117158.0, 47345.0 |
F1104_Population_census_Number_of_employed_persons,_working__time |
Population census Number of employed persons, working (survey year) | float | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
F110401_Population_census_Number_of_employed_persons,_workin |
Population census Number of employed persons, workin | float | 0% | 47 | 16240.0, 5162.0, 7753.0, 10366.0, 6205.0 |
F110401_Population_census_Number_of_employed_persons,_workin_time |
Population census Number of employed persons, workin (survey year) | float | 0% | 1 | 2005, 2005, 2005, 2005, 2005 |
F110402_Population_census_Number_of_employed_persons,_workin |
Population census Number of employed persons, workin | float | 0% | 47 | 342466.0, 77984.0, 82677.0, 131852.0, 66540.0 |
F110402_Population_census_Number_of_employed_persons,_workin_time |
Population census Number of employed persons, workin (survey year) | float | 0% | 1 | 2005, 2005, 2005, 2005, 2005 |
F1105_Population_census_Number_of_employed_persons,_working_ |
Population census Number of employed persons, working | float | 0% | 47 | 38293.0, 4949.0, 4644.0, 19141.0, 2921.0 |
F1105_Population_census_Number_of_employed_persons,_working__time |
Population census Number of employed persons, working (survey year) | float | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
F110501_Population_census_Number_of_employed_persons,_workin |
Population census Number of employed persons, workin | float | 0% | 47 | 20553.0, 2030.0, 2124.0, 9521.0, 1477.0 |
F110501_Population_census_Number_of_employed_persons,_workin_time |
Population census Number of employed persons, workin (survey year) | float | 0% | 1 | 2005, 2005, 2005, 2005, 2005 |
F110502_Population_census_Number_of_employed_persons,_workin |
Population census Number of employed persons, workin | float | 0% | 47 | 18596.0, 2218.0, 2353.0, 8233.0, 1320.0 |
F110502_Population_census_Number_of_employed_persons,_workin_time |
Population census Number of employed persons, workin (survey year) | float | 0% | 1 | 2005, 2005, 2005, 2005, 2005 |
F1106_Population_census_Number_of_employed_persons,_being_ab |
Population census Number of employed persons, being ab | float | 0% | 47 | 53570.0, 13802.0, 12737.0, 26374.0, 9923.0 |
| +650 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN e-Stat - Housing Wide (admin_1)
— 47 rows, 448 columns
Loading data…
Field details — 448 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | float | SEL | 0% | 47 | 01000, 02000, 03000, 04000, 05000 |
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
H1100_Number_of_dwellings |
Number of dwellings | float | SEL | 0% | 47 | 2888500.0, 590300.0, 579400.0, 1129200.0, 440600.0 |
H1101_Number_of_dwellings_with_occupying_households |
Number of dwellings with occupying households | float | SEL | 0% | 47 | 2423200.0, 488700.0, 476700.0, 983900.0, 369400.0 |
H1102_Number_of_unoccupied_dwellings |
Number of unoccupied dwellings | float | SEL | 0% | 47 | 465300.0, 101600.0, 102800.0, 145300.0, 71200.0 |
H3100_Number_of_total_households |
Number of total households | float | SEL | 0% | 47 | 2455900.0, 496300.0, 482000.0, 992800.0, 373700.0 |
Extension Fields (442)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
H1100_Number_of_dwellings_time |
Number of dwellings (survey year) | float | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
H1101_Number_of_dwellings_with_occupying_households_time |
Number of dwellings with occupying households (survey year) | float | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
H1102_Number_of_unoccupied_dwellings_time |
Number of unoccupied dwellings (survey year) | float | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
H110201_Number_of_houses_with_temporary_sojourners |
Number of houses with temporary sojourners | float | 0% | 33 | 10000.0, 1900.0, 1700.0, 3300.0, 1100.0 |
H110201_Number_of_houses_with_temporary_sojourners_time |
Number of houses with temporary sojourners (survey year) | float | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
H110202_Number_of_vacant_houses |
Number of vacant houses | float | 0% | 47 | 451900.0, 98800.0, 100400.0, 140300.0, 69500.0 |
H110202_Number_of_vacant_houses_time |
Number of vacant houses (survey year) | float | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
H110203_Number_of_dwellings_under_construction |
Number of dwellings under construction | float | 0% | 29 | 3300.0, 900.0, 600.0, 1700.0, 600.0 |
H110203_Number_of_dwellings_under_construction_time |
Number of dwellings under construction (survey year) | float | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
H1201_Number_of_dwellings_used_exclusively_for_living |
Number of dwellings used exclusively for living | float | 0% | 47 | 2384100.0, 478600.0, 467300.0, 974000.0, 360000.0 |
H1201_Number_of_dwellings_used_exclusively_for_living_time |
Number of dwellings used exclusively for living (survey year) | float | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
H1203_Number_of_dwellings_used_also_for_commerce_or_other_pu |
Number of dwellings used also for commerce or other pu | float | 0% | 43 | 39100.0, 10100.0, 9400.0, 9800.0, 9400.0 |
H1203_Number_of_dwellings_used_also_for_commerce_or_other_pu_time |
Number of dwellings used also for commerce or other pu (survey year) | float | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
H1310_Number_of_owned_houses |
Number of owned houses | float | 0% | 47 | 1381200.0, 349100.0, 334900.0, 590100.0, 284800.0 |
H1310_Number_of_owned_houses_time |
Number of owned houses (survey year) | float | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
H1320_Number_of_rented_houses |
Number of rented houses | float | 0% | 47 | 961400.0, 126000.0, 131800.0, 357400.0, 77200.0 |
H1320_Number_of_rented_houses_time |
Number of rented houses (survey year) | float | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
H1321_Number_of_rented_houses_owned_by_local_government_and_ |
Number of rented houses owned by local government and | float | 0% | 47 | 138100.0, 16400.0, 16100.0, 38000.0, 8700.0 |
H1321_Number_of_rented_houses_owned_by_local_government_and__time |
Number of rented houses owned by local government and (survey year) | float | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
H132101_Number_of_rented_houses_owned_by_local_government |
Number of rented houses owned by local government | float | 0% | 45 | 131900.0, 16400.0, 16100.0, 35900.0, 8700.0 |
H132101_Number_of_rented_houses_owned_by_local_government_time |
Number of rented houses owned by local government (survey year) | float | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
H132102_Number_of_rented_houses_owned_by_Urban_Renaissance_A |
Number of rented houses owned by Urban Renaissance A | float | 0% | 24 | 6200.0, 0.0, 200.0, 2100.0, 0.0 |
H132102_Number_of_rented_houses_owned_by_Urban_Renaissance_A_time |
Number of rented houses owned by Urban Renaissance A (survey year) | float | 0% | 4 | 2023, 2013, 2018, 2023, 2018 |
H1322_Number_of_rented_houses_owned_privately |
Number of rented houses owned privately | float | 0% | 47 | 758100.0, 99300.0, 103500.0, 294600.0, 61600.0 |
H1322_Number_of_rented_houses_owned_privately_time |
Number of rented houses owned privately (survey year) | float | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
H1323_Number_of_issued_houses |
Number of issued houses | float | 0% | 45 | 65200.0, 10300.0, 12200.0, 24800.0, 6900.0 |
H1323_Number_of_issued_houses_time |
Number of issued houses (survey year) | float | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
H1401_Number_of_detached_houses_Total |
Number of detached houses Total | float | 0% | 47 | 1258400.0, 368000.0, 344000.0, 543200.0, 293200.0 |
H1401_Number_of_detached_houses_Total_time |
Number of detached houses Total (survey year) | float | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
H140101_Number_of_detached_houses_Wooden |
Number of detached houses Wooden | float | 0% | 47 | 1183800.0, 356700.0, 328200.0, 500400.0, 284200.0 |
| +412 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN e-Stat - Population Wide (admin_1)
— 47 rows, 88 columns
Loading data…
Field details — 88 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | float | SEL | 0% | 47 | 01000, 02000, 03000, 04000, 05000 |
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
A1101_Total_population_Both_sexes |
Total population Both sexes | float | SEL | 0% | 47 | 5043000.0, 1165000.0, 1145000.0, 2248000.0, 897000.0 |
A110101_Total_population_Male |
Total population Male | float | SEL | 0% | 46 | 2382000.0, 549000.0, 553000.0, 1096000.0, 424000.0 |
A110102_Total_population_Female |
Total population Female | float | SEL | 0% | 46 | 2661000.0, 615000.0, 592000.0, 1152000.0, 473000.0 |
population_0_14 |
Population aged 0-14 (derived) | integer | SEL | 0% | 45 | 497000, 114000, 115000, 244000, 79000 |
population_60_plus |
Population aged 60 and over (derived) | integer | SEL | 0% | 47 | 2013000, 500000, 486000, 806000, 420000 |
Extension Fields (81)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
A1101_Total_population_Both_sexes_time |
Total population Both sexes (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
A110101_Total_population_Male_time |
Total population Male (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
A110102_Total_population_Female_time |
Total population Female (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
A1102_Japanese_population_Both_sexes |
Japanese population Both sexes | float | 0% | 47 | 4980000.0, 1157000.0, 1134000.0, 2219000.0, 891000.0 |
A1102_Japanese_population_Both_sexes_time |
Japanese population Both sexes (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
A110201_Japanese_population_Male |
Japanese population Male | float | 0% | 47 | 2351000.0, 546000.0, 548000.0, 1082000.0, 422000.0 |
A110201_Japanese_population_Male_time |
Japanese population Male (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
A110202_Japanese_population_Female |
Japanese population Female | float | 0% | 46 | 2629000.0, 611000.0, 586000.0, 1137000.0, 469000.0 |
A110202_Japanese_population_Female_time |
Japanese population Female (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
A1201_Population_0-4,_Total |
Population 0-4, Total | float | 0% | 38 | 134000.0, 30000.0, 30000.0, 66000.0, 20000.0 |
A1201_Population_0-4,_Total_time |
Population 0-4, Total (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
A120101_Population_0-4,_Male |
Population 0-4, Male | float | 0% | 34 | 69000.0, 16000.0, 15000.0, 34000.0, 10000.0 |
A120101_Population_0-4,_Male_time |
Population 0-4, Male (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
A120102_Population_0-4,_Female |
Population 0-4, Female | float | 0% | 32 | 66000.0, 15000.0, 14000.0, 32000.0, 10000.0 |
A120102_Population_0-4,_Female_time |
Population 0-4, Female (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
A1202_Population_5-9,_Total |
Population 5-9, Total | float | 0% | 39 | 170000.0, 39000.0, 39000.0, 84000.0, 27000.0 |
A1202_Population_5-9,_Total_time |
Population 5-9, Total (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
A120201_Population_5-9,_Male |
Population 5-9, Male | float | 0% | 36 | 87000.0, 20000.0, 20000.0, 43000.0, 14000.0 |
A120201_Population_5-9,_Male_time |
Population 5-9, Male (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
A120202_Population_5-9,_Female |
Population 5-9, Female | float | 0% | 32 | 83000.0, 19000.0, 19000.0, 41000.0, 13000.0 |
A120202_Population_5-9,_Female_time |
Population 5-9, Female (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
A1203_Population_10-14,_Total |
Population 10-14, Total | float | 0% | 40 | 193000.0, 45000.0, 46000.0, 94000.0, 32000.0 |
A1203_Population_10-14,_Total_time |
Population 10-14, Total (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
A120301_Population_10-14,_Male |
Population 10-14, Male | float | 0% | 35 | 99000.0, 23000.0, 24000.0, 48000.0, 17000.0 |
A120301_Population_10-14,_Male_time |
Population 10-14, Male (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
A120302_Population_10-14,_Female |
Population 10-14, Female | float | 0% | 34 | 94000.0, 22000.0, 23000.0, 46000.0, 16000.0 |
A120302_Population_10-14,_Female_time |
Population 10-14, Female (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
A1204_Population_15-19,_Total |
Population 15-19, Total | float | 0% | 38 | 206000.0, 47000.0, 48000.0, 100000.0, 35000.0 |
A1204_Population_15-19,_Total_time |
Population 15-19, Total (survey year) | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
A120401_Population_15-19,_Male |
Population 15-19, Male | float | 0% | 34 | 106000.0, 24000.0, 25000.0, 51000.0, 18000.0 |
| +51 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN e-Stat - Municipal Economic Census (admin_1)
— 47 rows, 24 columns
Loading data…
Field details — 24 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | integer | SEL | 0% | 47 | 01000, 02000, 03000, 04000, 05000 |
area_name |
Geographic-area English name as returned by e-Stat | string | SEL | 0% | 47 | Hokkaido, Aomori-ken, Iwate-ken, Miyagi-ken, Akita-ken |
admin_level |
Administrative level (admin_0..admin_4) | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
Number_of_establishments_Total |
Number of establishments Total | float | SEL | 0% | 47 | 221456.0, 56336.0, 56168.0, 96563.0, 46483.0 |
Number_of_persons_engaged_Male_and_Female_Total |
Number of persons engaged Male and Female Total | float | SEL | 0% | 47 | 2396587.0, 562624.0, 572412.0, 1115600.0, 442272.0 |
Extension Fields (8)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Total |
Number of establishments Including establishments not reported their industry et Total | float | 0% | 47 | 249011.0, 60013.0, 59231.0, 107148.0, 48959.0 |
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Privately_owned |
Number of establishments Including establishments not reported their industry et Privately owned | float | 0% | 47 | 240581.0, 58200.0, 57007.0, 104496.0, 46993.0 |
Number_of_establishments_Privately_owned |
Number of establishments Privately owned | float | 0% | 47 | 213026.0, 54523.0, 53944.0, 93911.0, 44517.0 |
Number_of_persons_engaged_Male_and_Female_Privately_owned |
Number of persons engaged Male and Female Privately owned | float | 0% | 47 | 2153312.0, 498573.0, 515967.0, 1022384.0, 399204.0 |
Number_of_persons_engaged_Male_Total |
Number of persons engaged Male Total | float | 0% | 47 | 1306545.0, 299815.0, 311964.0, 623145.0, 237972.0 |
Number_of_persons_engaged_Male_Privately_owned |
Number of persons engaged Male Privately owned | float | 0% | 47 | 1152711.0, 261314.0, 282752.0, 571389.0, 213681.0 |
Number_of_persons_engaged_Female_Total |
Number of persons engaged Female Total | float | 0% | 47 | 1070725.0, 261063.0, 258002.0, 486966.0, 202871.0 |
Number_of_persons_engaged_Female_Privately_owned |
Number of persons engaged Female Privately owned | float | 0% | 47 | 981284.0, 235513.0, 230769.0, 445506.0, 184094.0 |
Pending (10) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Total_time |
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Total_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Privately_owned_time |
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Privately_owned_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_establishments_Total_time |
Number_of_establishments_Total_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_establishments_Privately_owned_time |
Number_of_establishments_Privately_owned_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_persons_engaged_Male_and_Female_Total_time |
Number_of_persons_engaged_Male_and_Female_Total_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_persons_engaged_Male_and_Female_Privately_owned_time |
Number_of_persons_engaged_Male_and_Female_Privately_owned_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_persons_engaged_Male_Total_time |
Number_of_persons_engaged_Male_Total_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_persons_engaged_Male_Privately_owned_time |
Number_of_persons_engaged_Male_Privately_owned_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_persons_engaged_Female_Total_time |
Number_of_persons_engaged_Female_Total_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_persons_engaged_Female_Privately_owned_time |
Number_of_persons_engaged_Female_Privately_owned_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
JPN e-Stat - Municipal Pop Age Marital (admin_1)
— 47 rows, 1,732 columns
Loading data…
Field details — 1732 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | integer | SEL | 0% | 47 | 01000, 02000, 03000, 04000, 05000 |
area_name |
Geographic-area English name as returned by e-Stat | string | SEL | 0% | 47 | Hokkaido, Aomori-ken, Iwate-ken, Miyagi-ken, Akita-ken |
admin_level |
Administrative level (admin_0..admin_4) | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
Extension Fields (864)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Population_Total_Total_Total_Total |
Population Total Total Total Total | float | 0% | 47 | 3487579.0, 506339.0, 340858.0, 1282296.0, 298218.0 |
Population_Total_Total_Total_15_19_years_old |
Population Total Total Total 15 19 years old | float | 0% | 47 | 173047.0, 26183.0, 19424.0, 74503.0, 14055.0 |
Population_Total_Total_Total_20_24_years_old |
Population Total Total Total 20 24 years old | float | 0% | 47 | 180908.0, 23715.0, 18381.0, 83807.0, 13589.0 |
Population_Total_Total_Total_25_29_years_old |
Population Total Total Total 25 29 years old | float | 0% | 47 | 182187.0, 23927.0, 18581.0, 78919.0, 14202.0 |
Population_Total_Total_Total_30_34_years_old |
Population Total Total Total 30 34 years old | float | 0% | 47 | 198082.0, 27292.0, 20485.0, 86428.0, 15944.0 |
Population_Total_Total_Total_35_39_years_old |
Population Total Total Total 35 39 years old | float | 0% | 47 | 228194.0, 32329.0, 23529.0, 96435.0, 18751.0 |
Population_Total_Total_Total_40_44_years_old |
Population Total Total Total 40 44 years old | float | 0% | 47 | 265397.0, 38084.0, 27477.0, 106765.0, 22662.0 |
Population_Total_Total_Total_45_49_years_old |
Population Total Total Total 45 49 years old | float | 0% | 47 | 304584.0, 43007.0, 30225.0, 117962.0, 24881.0 |
Population_Total_Total_Total_50_54_years_old |
Population Total Total Total 50 54 years old | float | 0% | 47 | 267107.0, 39712.0, 26804.0, 101298.0, 22225.0 |
Population_Total_Total_Total_55_59_years_old |
Population Total Total Total 55 59 years old | float | 0% | 47 | 256113.0, 39377.0, 25526.0, 91102.0, 22374.0 |
Population_Total_Total_Total_60_64_years_old |
Population Total Total Total 60 64 years old | float | 0% | 47 | 248338.0, 39570.0, 24411.0, 85248.0, 22790.0 |
Population_Total_Total_Total_65_69_years_old |
Population Total Total Total 65 69 years old | float | 0% | 47 | 288858.0, 42634.0, 25248.0, 90755.0, 25106.0 |
Population_Total_Total_Total_70_74_years_old |
Population Total Total Total 70 74 years old | float | 0% | 47 | 307483.0, 45062.0, 25813.0, 92108.0, 26728.0 |
Population_Total_Total_Total_75_79_years_old |
Population Total Total Total 75 79 years old | float | 0% | 47 | 220920.0, 32776.0, 19885.0, 68428.0, 19411.0 |
Population_Total_Total_Total_80_84_years_old |
Population Total Total Total 80 84 years old | float | 0% | 47 | 171751.0, 25764.0, 16107.0, 52095.0, 16584.0 |
Population_Total_Total_Total_85_89_years_old |
Population Total Total Total 85 89 years old | float | 0% | 47 | 120011.0, 17660.0, 11841.0, 35514.0, 11776.0 |
Population_Total_Total_Total_90_94_years_old |
Population Total Total Total 90 94 years old | float | 0% | 47 | 57245.0, 7338.0, 5487.0, 16124.0, 5644.0 |
Population_Total_Total_Total_95_99_years_old |
Population Total Total Total 95 99 years old | float | 0% | 47 | 15091.0, 1702.0, 1432.0, 4200.0, 1343.0 |
Population_Total_Total_Total_100_years_old_and_over |
Population Total Total Total 100 years old and over | float | 0% | 46 | 2263.0, 207.0, 202.0, 605.0, 153.0 |
Population_Total_Total_Total_Recount_15_64_years_old |
Population Total Total Total Recount 15 64 years old | float | 0% | 47 | 2303957.0, 333196.0, 234843.0, 922467.0, 191473.0 |
Population_Total_Total_Total_Recount_65_years_old_and_over |
Population Total Total Total Recount 65 years old and over | float | 0% | 47 | 1183622.0, 173143.0, 106015.0, 359829.0, 106745.0 |
Population_Total_Total_Total_Recount_75_years_old_and_over |
Population Total Total Total Recount 75 years old and over | float | 0% | 47 | 587281.0, 85447.0, 54954.0, 176966.0, 54911.0 |
Population_Total_Total_Total_Recount_85_years_old_and_over |
Population Total Total Total Recount 85 years old and over | float | 0% | 47 | 194610.0, 26907.0, 18962.0, 56443.0, 18916.0 |
Population_Total_Total_Total_Recount_20_69_years_old |
Population Total Total Total Recount 20 69 years old | float | 0% | 47 | 2419768.0, 349647.0, 240667.0, 938719.0, 202524.0 |
Population_Total_Total_Never_married_Total |
Population Total Total Never married Total | float | 0% | 47 | 890769.0, 133075.0, 95336.0, 362962.0, 73871.0 |
Population_Total_Total_Never_married_15_19_years_old |
Population Total Total Never married 15 19 years old | float | 0% | 47 | 170682.0, 25973.0, 19300.0, 73609.0, 13981.0 |
Population_Total_Total_Never_married_20_24_years_old |
Population Total Total Never married 20 24 years old | float | 0% | 47 | 154116.0, 21348.0, 16726.0, 73243.0, 12199.0 |
Population_Total_Total_Never_married_25_29_years_old |
Population Total Total Never married 25 29 years old | float | 0% | 47 | 108090.0, 15079.0, 11449.0, 47637.0, 8694.0 |
Population_Total_Total_Never_married_30_34_years_old |
Population Total Total Never married 30 34 years old | float | 0% | 47 | 76356.0, 11337.0, 7958.0, 32946.0, 6438.0 |
Population_Total_Total_Never_married_35_39_years_old |
Population Total Total Never married 35 39 years old | float | 0% | 47 | 64683.0, 9992.0, 6673.0, 26251.0, 5567.0 |
| +834 more extension fields — download the CSV/Parquet to see them all. | |||||
Pending (864) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Population_Total_Total_Total_Total_time |
Population_Total_Total_Total_Total_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_15_19_years_old_time |
Population_Total_Total_Total_15_19_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_20_24_years_old_time |
Population_Total_Total_Total_20_24_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_25_29_years_old_time |
Population_Total_Total_Total_25_29_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_30_34_years_old_time |
Population_Total_Total_Total_30_34_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_35_39_years_old_time |
Population_Total_Total_Total_35_39_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_40_44_years_old_time |
Population_Total_Total_Total_40_44_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_45_49_years_old_time |
Population_Total_Total_Total_45_49_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_50_54_years_old_time |
Population_Total_Total_Total_50_54_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_55_59_years_old_time |
Population_Total_Total_Total_55_59_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_60_64_years_old_time |
Population_Total_Total_Total_60_64_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_65_69_years_old_time |
Population_Total_Total_Total_65_69_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_70_74_years_old_time |
Population_Total_Total_Total_70_74_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_75_79_years_old_time |
Population_Total_Total_Total_75_79_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_80_84_years_old_time |
Population_Total_Total_Total_80_84_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_85_89_years_old_time |
Population_Total_Total_Total_85_89_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_90_94_years_old_time |
Population_Total_Total_Total_90_94_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_95_99_years_old_time |
Population_Total_Total_Total_95_99_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_100_years_old_and_over_time |
Population_Total_Total_Total_100_years_old_and_over_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_Recount_15_64_years_old_time |
Population_Total_Total_Total_Recount_15_64_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_Recount_65_years_old_and_over_time |
Population_Total_Total_Total_Recount_65_years_old_and_over_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_Recount_75_years_old_and_over_time |
Population_Total_Total_Total_Recount_75_years_old_and_over_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_Recount_85_years_old_and_over_time |
Population_Total_Total_Total_Recount_85_years_old_and_over_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_Recount_20_69_years_old_time |
Population_Total_Total_Total_Recount_20_69_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Never_married_Total_time |
Population_Total_Total_Never_married_Total_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Never_married_15_19_years_old_time |
Population_Total_Total_Never_married_15_19_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Never_married_20_24_years_old_time |
Population_Total_Total_Never_married_20_24_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Never_married_25_29_years_old_time |
Population_Total_Total_Never_married_25_29_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Never_married_30_34_years_old_time |
Population_Total_Total_Never_married_30_34_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Never_married_35_39_years_old_time |
Population_Total_Total_Never_married_35_39_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
| +834 more pending fields — download the CSV/Parquet to see them all. | |||||
JPN e-Stat - Municipal Population By Sex (admin_1)
— 47 rows, 10 columns
Loading data…
Field details — 10 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | integer | SEL | 0% | 47 | 01000, 02000, 03000, 04000, 05000 |
area_name |
Geographic-area English name as returned by e-Stat | string | SEL | 0% | 47 | Hokkaido, Aomori-ken, Iwate-ken, Miyagi-ken, Akita-ken |
admin_level |
Administrative level (admin_0..admin_4) | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
Population_Total |
Population Total | float | SEL | 0% | 47 | 5224614.0, 1237984.0, 1210534.0, 2301996.0, 959502.0 |
Population_Male |
Population Male | float | SEL | 0% | 47 | 2465088.0, 583402.0, 582952.0, 1122598.0, 452439.0 |
Population_Female |
Population Female | float | SEL | 0% | 47 | 2759526.0, 654582.0, 627582.0, 1179398.0, 507063.0 |
Pending (3) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Population_Total_time |
Population_Total_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Male_time |
Population_Male_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Female_time |
Population_Female_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
JPN e-Stat - Ssds E Education (admin_1)
— 47 rows, 992 columns
Loading data…
Field details — 992 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | integer | SEL | 0% | 47 | 01000, 02000, 03000, 04000, 05000 |
area_name |
Geographic-area English name as returned by e-Stat | string | SEL | 0% | 47 | Hokkaido, Aomori-ken, Iwate-ken, Miyagi-ken, Akita-ken |
admin_level |
Administrative level (admin_0..admin_4) | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
Pending (988) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Observation_value_E1101_Number_of_kindergartens |
Observation_value_E1101_Number_of_kindergartens | float | 0% | 46 | 322.0, 81.0, 56.0, 201.0, 31.0 |
Observation_value_E1101_Number_of_kindergartens_time |
Observation_value_E1101_Number_of_kindergartens_time | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_E110102_Number_of_kindergartens_Public |
Observation_value_E110102_Number_of_kindergartens_Public | float | 0% | 38 | 34.0, 2.0, 18.0, 57.0, 1.0 |
Observation_value_E110102_Number_of_kindergartens_Public_time |
Observation_value_E110102_Number_of_kindergartens_Public_time | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_E1201_Number_of_kindergarten_classes |
Observation_value_E1201_Number_of_kindergarten_classes | float | 0% | 46 | 1595.0, 306.0, 231.0, 932.0, 119.0 |
Observation_value_E1201_Number_of_kindergarten_classes_time |
Observation_value_E1201_Number_of_kindergarten_classes_time | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_E120101_Number_of_kindergarten_classes_National |
Observation_value_E120101_Number_of_kindergarten_classes_National | float | 0% | 8 | 6.0, 5.0, 5.0, 5.0, 5.0 |
Observation_value_E120101_Number_of_kindergarten_classes_National_time |
Observation_value_E120101_Number_of_kindergarten_classes_National_time | integer | 0% | 1 | 2008, 2008, 2008, 2008, 2008 |
Observation_value_E120102_Number_of_kindergarten_classes_Public |
Observation_value_E120102_Number_of_kindergarten_classes_Public | float | 0% | 44 | 270.0, 36.0, 198.0, 322.0, 92.0 |
Observation_value_E120102_Number_of_kindergarten_classes_Public_time |
Observation_value_E120102_Number_of_kindergarten_classes_Public_time | integer | 0% | 1 | 2008, 2008, 2008, 2008, 2008 |
Observation_value_E120103_Number_of_kindergarten_classes_Private |
Observation_value_E120103_Number_of_kindergarten_classes_Private | float | 0% | 47 | 2710.0, 523.0, 480.0, 1167.0, 377.0 |
Observation_value_E120103_Number_of_kindergarten_classes_Private_time |
Observation_value_E120103_Number_of_kindergarten_classes_Private_time | integer | 0% | 1 | 2008, 2008, 2008, 2008, 2008 |
Observation_value_E1301_Number_of_kindergarten_teachers |
Observation_value_E1301_Number_of_kindergarten_teachers | float | 0% | 45 | 4031.0, 652.0, 431.0, 2058.0, 326.0 |
Observation_value_E1301_Number_of_kindergarten_teachers_time |
Observation_value_E1301_Number_of_kindergarten_teachers_time | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_E130101_Number_of_kindergarten_teachers_Male |
Observation_value_E130101_Number_of_kindergarten_teachers_Male | float | 0% | 38 | 281.0, 31.0, 20.0, 165.0, 33.0 |
Observation_value_E130101_Number_of_kindergarten_teachers_Male_time |
Observation_value_E130101_Number_of_kindergarten_teachers_Male_time | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_E130102_Number_of_kindergarten_teachers_Female |
Observation_value_E130102_Number_of_kindergarten_teachers_Female | float | 0% | 46 | 3750.0, 621.0, 411.0, 1893.0, 293.0 |
Observation_value_E130102_Number_of_kindergarten_teachers_Female_time |
Observation_value_E130102_Number_of_kindergarten_teachers_Female_time | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_E1302_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_tea |
Observation_value_E1302_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_tea | float | 0% | 17 | 16.0, 1.0, 1.0, 4.0, 1.0 |
Observation_value_E1302_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_tea_time |
Observation_value_E1302_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_tea_time | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_E130201_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_t |
Observation_value_E130201_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_t | float | 0% | 2 | 0.0, 0.0, 0.0, 0.0, 0.0 |
Observation_value_E130201_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_t_time |
Observation_value_E130201_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_t_time | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_E130202_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_t |
Observation_value_E130202_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_t | float | 0% | 17 | 16.0, 1.0, 1.0, 4.0, 1.0 |
Observation_value_E130202_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_t_time |
Observation_value_E130202_Number_of_kindergarten_teachers_Nursing_teachers_and_assistant_nursing_t_time | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_E1303_Number_of_kindergarten_teachers_Academic_assistant |
Observation_value_E1303_Number_of_kindergarten_teachers_Academic_assistant | float | 0% | 43 | 299.0, 40.0, 18.0, 145.0, 33.0 |
Observation_value_E1303_Number_of_kindergarten_teachers_Academic_assistant_time |
Observation_value_E1303_Number_of_kindergarten_teachers_Academic_assistant_time | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_E130301_Number_of_kindergarten_teachers_Academic_assistant_Male |
Observation_value_E130301_Number_of_kindergarten_teachers_Academic_assistant_Male | float | 0% | 18 | 20.0, 1.0, 0.0, 19.0, 3.0 |
Observation_value_E130301_Number_of_kindergarten_teachers_Academic_assistant_Male_time |
Observation_value_E130301_Number_of_kindergarten_teachers_Academic_assistant_Male_time | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_E130302_Number_of_kindergarten_teachers_Academic_assistant_Female |
Observation_value_E130302_Number_of_kindergarten_teachers_Academic_assistant_Female | float | 0% | 38 | 279.0, 39.0, 18.0, 126.0, 30.0 |
Observation_value_E130302_Number_of_kindergarten_teachers_Academic_assistant_Female_time |
Observation_value_E130302_Number_of_kindergarten_teachers_Academic_assistant_Female_time | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
| +958 more pending fields — download the CSV/Parquet to see them all. | |||||
JPN e-Stat - Ssds I Health (admin_1)
— 47 rows, 814 columns
Loading data…
Field details — 814 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | integer | SEL | 0% | 47 | 01000, 02000, 03000, 04000, 05000 |
area_name |
Geographic-area English name as returned by e-Stat | string | SEL | 0% | 47 | Hokkaido, Aomori-ken, Iwate-ken, Miyagi-ken, Akita-ken |
admin_level |
Administrative level (admin_0..admin_4) | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
Pending (810) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Observation_value_I1101_Life_expectancy_0_years_old_Male |
Observation_value_I1101_Life_expectancy_0_years_old_Male | float | 0% | 44 | 80.92, 79.27, 80.64, 81.7, 80.48 |
Observation_value_I1101_Life_expectancy_0_years_old_Male_time |
Observation_value_I1101_Life_expectancy_0_years_old_Male_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Observation_value_I1102_Life_expectancy_0_years_old_Female |
Observation_value_I1102_Life_expectancy_0_years_old_Female | float | 0% | 45 | 87.08, 86.33, 87.05, 87.51, 87.1 |
Observation_value_I1102_Life_expectancy_0_years_old_Female_time |
Observation_value_I1102_Life_expectancy_0_years_old_Female_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Observation_value_I1201_Life_expectancy_20_years_old_Male |
Observation_value_I1201_Life_expectancy_20_years_old_Male | float | 0% | 41 | 61.3, 59.66, 61.0, 62.02, 60.8 |
Observation_value_I1201_Life_expectancy_20_years_old_Male_time |
Observation_value_I1201_Life_expectancy_20_years_old_Male_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Observation_value_I1202_Life_expectancy_20_years_old_Female |
Observation_value_I1202_Life_expectancy_20_years_old_Female | float | 0% | 38 | 67.41, 66.69, 67.33, 67.82, 67.41 |
Observation_value_I1202_Life_expectancy_20_years_old_Female_time |
Observation_value_I1202_Life_expectancy_20_years_old_Female_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Observation_value_I1301_Life_expectancy_40_years_old_Male |
Observation_value_I1301_Life_expectancy_40_years_old_Male | float | 0% | 41 | 42.02, 40.46, 41.64, 42.7, 41.52 |
Observation_value_I1301_Life_expectancy_40_years_old_Male_time |
Observation_value_I1301_Life_expectancy_40_years_old_Male_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Observation_value_I1302_Life_expectancy_40_years_old_Female |
Observation_value_I1302_Life_expectancy_40_years_old_Female | float | 0% | 41 | 47.82, 47.1, 47.73, 48.23, 47.84 |
Observation_value_I1302_Life_expectancy_40_years_old_Female_time |
Observation_value_I1302_Life_expectancy_40_years_old_Female_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Observation_value_I1401_Life_expectancy_60_years_old_Male |
Observation_value_I1401_Life_expectancy_60_years_old_Male | float | 0% | 45 | 23.78, 22.45, 23.51, 24.31, 23.28 |
Observation_value_I1401_Life_expectancy_60_years_old_Male_time |
Observation_value_I1401_Life_expectancy_60_years_old_Male_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Observation_value_I1402_Life_expectancy_60_years_old_Female |
Observation_value_I1402_Life_expectancy_60_years_old_Female | float | 0% | 41 | 29.01, 28.38, 28.95, 29.26, 29.03 |
Observation_value_I1402_Life_expectancy_60_years_old_Female_time |
Observation_value_I1402_Life_expectancy_60_years_old_Female_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Observation_value_I1501_Life_expectancy_65_years_old_Male |
Observation_value_I1501_Life_expectancy_65_years_old_Male | float | 0% | 40 | 19.67, 18.51, 19.42, 20.12, 19.23 |
Observation_value_I1501_Life_expectancy_65_years_old_Male_time |
Observation_value_I1501_Life_expectancy_65_years_old_Male_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Observation_value_I1502_Life_expectancy_65_years_old_Female |
Observation_value_I1502_Life_expectancy_65_years_old_Female | float | 0% | 37 | 24.54, 23.92, 24.44, 24.71, 24.51 |
Observation_value_I1502_Life_expectancy_65_years_old_Female_time |
Observation_value_I1502_Life_expectancy_65_years_old_Female_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Observation_value_I1601_Healthy_life_expectancy_Male |
Observation_value_I1601_Healthy_life_expectancy_Male | float | 0% | 38 | 71.6, 71.73, 71.39, 72.9, 72.61 |
Observation_value_I1601_Healthy_life_expectancy_Male_time |
Observation_value_I1601_Healthy_life_expectancy_Male_time | integer | 0% | 1 | 2019, 2019, 2019, 2019, 2019 |
Observation_value_I1602_Healthy_life_expectancy_Female |
Observation_value_I1602_Healthy_life_expectancy_Female | float | 0% | 42 | 75.03, 76.05, 74.69, 75.1, 76.0 |
Observation_value_I1602_Healthy_life_expectancy_Female_time |
Observation_value_I1602_Healthy_life_expectancy_Female_time | integer | 0% | 1 | 2019, 2019, 2019, 2019, 2019 |
Observation_value_I210101_Number_of_persons_undergoing_medical_inspections_at_health_care_centers_ |
Observation_value_I210101_Number_of_persons_undergoing_medical_inspections_at_health_care_centers_ | float | 0% | 47 | 117384.0, 77086.0, 66332.0, 334144.0, 85684.0 |
Observation_value_I210101_Number_of_persons_undergoing_medical_inspections_at_health_care_centers__time |
Observation_value_I210101_Number_of_persons_undergoing_medical_inspections_at_health_care_centers__time | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
Observation_value_I210104_Number_of_persons_undergoing_medical_inspections_at_health_care_centers_ |
Observation_value_I210104_Number_of_persons_undergoing_medical_inspections_at_health_care_centers_ | float | 0% | 47 | 55739.0, 30437.0, 62540.0, 62388.0, 41063.0 |
Observation_value_I210104_Number_of_persons_undergoing_medical_inspections_at_health_care_centers__time |
Observation_value_I210104_Number_of_persons_undergoing_medical_inspections_at_health_care_centers__time | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
Observation_value_I210110_Number_of_persons_undergoing_medical_inspections_at_health_care_centers |
Observation_value_I210110_Number_of_persons_undergoing_medical_inspections_at_health_care_centers | float | 0% | 47 | 31360.0, 658.0, 22265.0, 67685.0, 48253.0 |
Observation_value_I210110_Number_of_persons_undergoing_medical_inspections_at_health_care_centers_time |
Observation_value_I210110_Number_of_persons_undergoing_medical_inspections_at_health_care_centers_time | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
| +780 more pending fields — download the CSV/Parquet to see them all. | |||||
JPN e-Stat — SSDS D. Administrative base — basic data (admin_1)
— 47 rows, 396 columns
Loading data…
Field details — 396 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | integer | SEL | 0% | 47 | 01000, 02000, 03000, 04000, 05000 |
area_name |
Geographic-area English name as returned by e-Stat | string | SEL | 0% | 47 | Hokkaido, Aomori-ken, Iwate-ken, Miyagi-ken, Akita-ken |
admin_level |
Administrative level (admin_0..admin_4) | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
Pending (392) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Observation_value_D110101_Number_of_cities_towns_and_villages |
Number of cities, towns and villages | float | 0% | 30 | 179.0, 40.0, 33.0, 35.0, 25.0 |
Observation_value_D110101_Number_of_cities_towns_and_villages_time |
Number of cities, towns and villages (survey year) | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_D110102_Number_of_cities_and_wards |
Number of cities and wards | float | 0% | 23 | 45.0, 10.0, 14.0, 19.0, 13.0 |
Observation_value_D110102_Number_of_cities_and_wards_time |
Number of cities and wards (survey year) | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_D110103_Number_of_towns_and_villages |
Number of towns and villages | float | 0% | 24 | 144.0, 30.0, 19.0, 21.0, 12.0 |
Observation_value_D110103_Number_of_towns_and_villages_time |
Number of towns and villages (survey year) | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_D1201_Number_of_general_personnel_Prefecture |
Number of general personnel Prefecture | float | 0% | 47 | 12674.0, 3854.0, 4232.0, 4831.0, 3513.0 |
Observation_value_D1201_Number_of_general_personnel_Prefecture_time |
Number of general personnel Prefecture (survey year) | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_D1202_Number_of_general_personnel_Municipality |
Number of general personnel Municipality | float | 0% | 47 | 34176.0, 7897.0, 8454.0, 13687.0, 6905.0 |
Observation_value_D1202_Number_of_general_personnel_Municipality_time |
Number of general personnel Municipality (survey year) | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_D1203_Number_of_fire_service_personnel |
Number of fire service personnel | float | 0% | 47 | 9161.0, 2607.0, 2020.0, 3130.0, 2048.0 |
Observation_value_D1203_Number_of_fire_service_personnel_time |
Number of fire service personnel (survey year) | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_D1204_Number_of_educational_service_personnel |
Number of educational service personnel | float | 0% | 47 | 51418.0, 11750.0, 13016.0, 21542.0, 9762.0 |
Observation_value_D1204_Number_of_educational_service_personnel_time |
Number of educational service personnel (survey year) | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_D1205_Number_of_police_personnel |
Number of police personnel | float | 0% | 46 | 11726.0, 2661.0, 2429.0, 4354.0, 2362.0 |
Observation_value_D1205_Number_of_police_personnel_time |
Number of police personnel (survey year) | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_D1206_Number_of_public_businesses_account_personnel |
Number of public businesses account personnel | float | 0% | 47 | 20821.0, 7896.0, 7575.0, 8436.0, 2945.0 |
Observation_value_D1206_Number_of_public_businesses_account_personnel_time |
Number of public businesses account personnel (survey year) | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_D1210_Number_of_prefectural_assembly_members |
Number of prefectural assembly members | float | 0% | 30 | 99.0, 48.0, 48.0, 59.0, 40.0 |
Observation_value_D1210_Number_of_prefectural_assembly_members_time |
Number of prefectural assembly members (survey year) | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_D1211_Number_of_municipal_assembly_members |
Number of municipal assembly members | float | 0% | 46 | 692.0, 221.0, 309.0, 323.0, 266.0 |
Observation_value_D1211_Number_of_municipal_assembly_members_time |
Number of municipal assembly members (survey year) | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_D1212_Number_of_electoral_roll_subscribers |
Number of electoral roll subscribers | float | 0% | 47 | 4378810.0, 1037676.0, 1002566.0, 1901034.0, 805450.0 |
Observation_value_D1212_Number_of_electoral_roll_subscribers_time |
Number of electoral roll subscribers (survey year) | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_D2101_Financial_power_index_Prefecture |
Financial power index Prefecture | float | 0% | 47 | 0.44422, 0.34201, 0.35368, 0.59081, 0.3094 |
Observation_value_D2101_Financial_power_index_Prefecture_time |
Financial power index Prefecture (survey year) | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
Observation_value_D2102_Real_term_balance_of_revenue_to_expenditure_Prefecture |
Real term balance of revenue to expenditure Prefecture | float | 0% | 34 | 2.0, 2.1, 5.1, 2.8, 4.5 |
Observation_value_D2102_Real_term_balance_of_revenue_to_expenditure_Prefecture_time |
Real term balance of revenue to expenditure Prefecture (survey year) | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
Observation_value_D2103_Real_term_of_current_balance_Prefecture |
Real term of current balance Prefecture | float | 0% | 41 | 98.1, 94.5, 94.2, 96.4, 90.4 |
Observation_value_D2103_Real_term_of_current_balance_Prefecture_time |
Real term of current balance Prefecture (survey year) | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
| +362 more pending fields — download the CSV/Parquet to see them all. | |||||
JPN e-Stat — SSDS D. Administrative base — social indicators (admin_1)
— 47 rows, 104 columns
Loading data…
Field details — 104 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | integer | SEL | 0% | 47 | 01000, 02000, 03000, 04000, 05000 |
area_name |
Geographic-area English name as returned by e-Stat | string | SEL | 0% | 47 | Hokkaido, Aomori-ken, Iwate-ken, Miyagi-ken, Akita-ken |
admin_level |
Administrative level (admin_0..admin_4) | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
Pending (100) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Observation_value_D0110101_Financial_power_index_Prefecture |
Financial power index Prefecture | float | 0% | 44 | 0.444, 0.342, 0.354, 0.591, 0.309 |
Observation_value_D0110101_Financial_power_index_Prefecture_time |
Financial power index Prefecture (survey year) | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
Observation_value_D01102_Real_term_balance_of_revenue_to_expenditure_Prefecture |
Real term balance of revenue to expenditure Prefectu | float | 0% | 34 | 2.0, 2.1, 5.1, 2.8, 4.5 |
Observation_value_D01102_Real_term_balance_of_revenue_to_expenditure_Prefecture_time |
Real term balance of revenue to expenditure Prefectu (survey year) | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
Observation_value_D0120101_Percentage_of_self_financial_resources_Prefecture |
Percentage of self-financial resources Prefecture | float | 0% | 44 | 42.4, 40.2, 47.3, 55.5, 35.8 |
Observation_value_D0120101_Percentage_of_self_financial_resources_Prefecture_time |
Percentage of self-financial resources Prefecture (survey year) | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
Observation_value_D0130201_Percentage_of_outstanding_amount_of_local_bonds_to_expenditure_Prefectu |
Percentage of outstanding amount of local bonds to | float | 0% | 45 | 188.9, 120.8, 158.2, 135.1, 193.7 |
Observation_value_D0130201_Percentage_of_outstanding_amount_of_local_bonds_to_expenditure_Prefectu_time |
Percentage of outstanding amount of local bonds to (survey year) | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
Observation_value_D01401_Real_term_of_current_balance_Prefecture |
Real term of current balance Prefecture | float | 0% | 41 | 98.1, 94.5, 94.2, 96.4, 90.4 |
Observation_value_D01401_Real_term_of_current_balance_Prefecture_time |
Real term of current balance Prefecture (survey year) | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
Observation_value_D0140201_Percentage_of_investment_expenditure_Prefecture |
Percentage of investment expenditure Prefecture | float | 0% | 40 | 15.8, 19.2, 16.5, 15.6, 22.2 |
Observation_value_D0140201_Percentage_of_investment_expenditure_Prefecture_time |
Percentage of investment expenditure Prefecture (survey year) | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
Observation_value_D0140301_Percentage_of_revenues_from_local_taxes_and_grants_Prefecture |
Percentage of revenues from local taxes and grants | float | 0% | 37 | 49.9, 56.7, 51.7, 50.7, 55.8 |
Observation_value_D0140301_Percentage_of_revenues_from_local_taxes_and_grants_Prefecture_time |
Percentage of revenues from local taxes and grants (survey year) | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
Observation_value_D0210101_Percentage_of_local_taxes_Prefecture |
Percentage of local taxes Prefecture | float | 0% | 47 | 24.49, 22.8, 19.21, 30.96, 19.55 |
Observation_value_D0210101_Percentage_of_local_taxes_Prefecture_time |
Percentage of local taxes Prefecture (survey year) | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
Observation_value_D0210201_Percentage_of_grants_to_local_governments_Prefecture |
Percentage of grants to local governments Prefectu | float | 0% | 47 | 21.2, 28.61, 26.2, 13.89, 31.37 |
Observation_value_D0210201_Percentage_of_grants_to_local_governments_Prefecture_time |
Percentage of grants to local governments Prefectu (survey year) | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
Observation_value_D0210301_Percentage_of_national_disbursements_Prefecture |
Percentage of national disbursements Prefecture | float | 0% | 46 | 24.41, 23.03, 19.34, 21.22, 19.59 |
Observation_value_D0210301_Percentage_of_national_disbursements_Prefecture_time |
Percentage of national disbursements Prefecture (survey year) | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
Observation_value_D0220103_Resident_tax_per_capita_Prefecture_Municipality |
Resident tax per capita Prefecture + Municipality | float | 0% | 45 | 100.0, 81.3, 89.6, 109.5, 81.8 |
Observation_value_D0220103_Resident_tax_per_capita_Prefecture_Municipality_time |
Resident tax per capita Prefecture + Municipality (survey year) | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
Observation_value_D02202_Fixed_assets_tax_per_capita_Prefecture_Municipality |
Fixed assets tax per capita Prefecture + Municipalit | float | 0% | 43 | 60.1, 63.0, 66.9, 68.2, 59.1 |
Observation_value_D02202_Fixed_assets_tax_per_capita_Prefecture_Municipality_time |
Fixed assets tax per capita Prefecture + Municipalit (survey year) | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
Observation_value_D02204_Amount_of_national_tax_per_capita |
Amount of national tax per capita | float | 0% | 46 | 378.8, 256.6, 242.2, 415.4, 251.3 |
Observation_value_D02204_Amount_of_national_tax_per_capita_time |
Amount of national tax per capita (survey year) | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
Observation_value_D02206_Taxable_income_per_tax_debtor |
Taxable income per tax debtor | float | 0% | 47 | 3446.5, 3048.6, 3087.4, 3499.5, 3044.2 |
Observation_value_D02206_Taxable_income_per_tax_debtor_time |
Taxable income per tax debtor (survey year) | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
Observation_value_D02207_Ratio_of_taxpayer_per_capita |
Ratio of taxpayer per capita | float | 0% | 37 | 43.6, 42.1, 43.8, 44.8, 41.8 |
Observation_value_D02207_Ratio_of_taxpayer_per_capita_time |
Ratio of taxpayer per capita (survey year) | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
| +70 more pending fields — download the CSV/Parquet to see them all. | |||||
2
Admin 2
— 3 table(s)
JPN e-Stat - Municipal Economic Census (admin_2)
— 1,742 rows, 24 columns
Loading data…
Field details — 24 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | integer | SEL | 0% | 100 | 01100, 01202, 01203, 01204, 01205 |
area_name |
Geographic-area English name as returned by e-Stat | string | SEL | 0% | 100 | Sapporo-shi, Hakodate-shi, Otaru-shi, Asahikawa-shi, Muroran-shi |
admin_level |
Administrative level (admin_0..admin_4) | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
Number_of_establishments_Total |
Number of establishments Total | float | SEL | 0% | 97 | 71870.0, 11414.0, 5126.0, 14105.0, 3697.0 |
Number_of_persons_engaged_Male_and_Female_Total |
Number of persons engaged Male and Female Total | float | SEL | 0% | 98 | 920986.0, 115608.0, 52353.0, 152895.0, 42849.0 |
Extension Fields (8)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Total |
Number of establishments Including establishments not reported their industry et Total | float | 0% | 92 | 87752.0, 12675.0, 5623.0, 15702.0, 4102.0 |
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Privately_owned |
Number of establishments Including establishments not reported their industry et Privately owned | float | 0% | 95 | 86906.0, 12443.0, 5488.0, 15421.0, 4008.0 |
Number_of_establishments_Privately_owned |
Number of establishments Privately owned | float | 0% | 97 | 71024.0, 11182.0, 4991.0, 13824.0, 3603.0 |
Number_of_persons_engaged_Male_and_Female_Privately_owned |
Number of persons engaged Male and Female Privately owned | float | 0% | 98 | 863439.0, 105474.0, 47417.0, 138486.0, 38961.0 |
Number_of_persons_engaged_Male_Total |
Number of persons engaged Male Total | float | 0% | 96 | 489881.0, 59832.0, 26976.0, 80709.0, 26217.0 |
Number_of_persons_engaged_Male_Privately_owned |
Number of persons engaged Male Privately owned | float | 0% | 98 | 451719.0, 53275.0, 24193.0, 71235.0, 23986.0 |
Number_of_persons_engaged_Female_Total |
Number of persons engaged Female Total | float | 0% | 96 | 422574.0, 54646.0, 24310.0, 71081.0, 16339.0 |
Number_of_persons_engaged_Female_Privately_owned |
Number of persons engaged Female Privately owned | float | 0% | 99 | 403189.0, 51069.0, 22157.0, 66146.0, 14682.0 |
Pending (10) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Total_time |
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Total_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Privately_owned_time |
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Privately_owned_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_establishments_Total_time |
Number_of_establishments_Total_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_establishments_Privately_owned_time |
Number_of_establishments_Privately_owned_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_persons_engaged_Male_and_Female_Total_time |
Number_of_persons_engaged_Male_and_Female_Total_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_persons_engaged_Male_and_Female_Privately_owned_time |
Number_of_persons_engaged_Male_and_Female_Privately_owned_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_persons_engaged_Male_Total_time |
Number_of_persons_engaged_Male_Total_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_persons_engaged_Male_Privately_owned_time |
Number_of_persons_engaged_Male_Privately_owned_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_persons_engaged_Female_Total_time |
Number_of_persons_engaged_Female_Total_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_persons_engaged_Female_Privately_owned_time |
Number_of_persons_engaged_Female_Privately_owned_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
JPN e-Stat - Municipal Pop Age Marital (admin_2)
— 815 rows, 1,732 columns
Loading data…
Field details — 1732 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | integer | SEL | 0% | 100 | 01100, 01202, 01203, 01204, 01205 |
area_name |
Geographic-area English name as returned by e-Stat | string | SEL | 0% | 100 | Sapporo-shi, Hakodate-shi, Otaru-shi, Asahikawa-shi, Muroran-shi |
admin_level |
Administrative level (admin_0..admin_4) | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
Extension Fields (864)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Population_Total_Total_Total_Total |
Population Total Total Total Total | float | 0% | 99 | 1676267.0, 192117.0, 84123.0, 269870.0, 60892.0 |
Population_Total_Total_Total_15_19_years_old |
Population Total Total Total 15 19 years old | float | 0% | 100 | 82217.0, 8817.0, 3862.0, 12905.0, 3202.0 |
Population_Total_Total_Total_20_24_years_old |
Population Total Total Total 20 24 years old | float | 0% | 98 | 94945.0, 8336.0, 3544.0, 11179.0, 3968.0 |
Population_Total_Total_Total_25_29_years_old |
Population Total Total Total 25 29 years old | float | 0% | 99 | 97276.0, 8537.0, 2908.0, 12306.0, 2948.0 |
Population_Total_Total_Total_30_34_years_old |
Population Total Total Total 30 34 years old | float | 0% | 98 | 105388.0, 9054.0, 3119.0, 13690.0, 2937.0 |
Population_Total_Total_Total_35_39_years_old |
Population Total Total Total 35 39 years old | float | 0% | 98 | 117760.0, 11105.0, 3827.0, 16443.0, 3373.0 |
Population_Total_Total_Total_40_44_years_old |
Population Total Total Total 40 44 years old | float | 0% | 99 | 133516.0, 13332.0, 5164.0, 19691.0, 3795.0 |
Population_Total_Total_Total_45_49_years_old |
Population Total Total Total 45 49 years old | float | 0% | 98 | 151467.0, 16034.0, 6382.0, 22375.0, 4855.0 |
Population_Total_Total_Total_50_54_years_old |
Population Total Total Total 50 54 years old | float | 0% | 100 | 133072.0, 14238.0, 6055.0, 19806.0, 4116.0 |
Population_Total_Total_Total_55_59_years_old |
Population Total Total Total 55 59 years old | float | 0% | 96 | 124536.0, 13876.0, 5982.0, 19225.0, 3849.0 |
Population_Total_Total_Total_60_64_years_old |
Population Total Total Total 60 64 years old | float | 0% | 100 | 116800.0, 14309.0, 6096.0, 19906.0, 3805.0 |
Population_Total_Total_Total_65_69_years_old |
Population Total Total Total 65 69 years old | float | 0% | 100 | 130488.0, 17134.0, 8064.0, 23863.0, 5146.0 |
Population_Total_Total_Total_70_74_years_old |
Population Total Total Total 70 74 years old | float | 0% | 100 | 136731.0, 19149.0, 9463.0, 26403.0, 6119.0 |
Population_Total_Total_Total_75_79_years_old |
Population Total Total Total 75 79 years old | float | 0% | 99 | 95202.0, 14185.0, 7134.0, 19661.0, 4972.0 |
Population_Total_Total_Total_80_84_years_old |
Population Total Total Total 80 84 years old | float | 0% | 100 | 72006.0, 11198.0, 5598.0, 15293.0, 3891.0 |
Population_Total_Total_Total_85_89_years_old |
Population Total Total Total 85 89 years old | float | 0% | 97 | 51837.0, 7928.0, 4129.0, 10538.0, 2481.0 |
Population_Total_Total_Total_90_94_years_old |
Population Total Total Total 90 94 years old | float | 0% | 95 | 25388.0, 3772.0, 2130.0, 4982.0, 1102.0 |
Population_Total_Total_Total_95_99_years_old |
Population Total Total Total 95 99 years old | float | 0% | 81 | 6645.0, 972.0, 601.0, 1384.0, 293.0 |
Population_Total_Total_Total_100_years_old_and_over |
Population Total Total Total 100 years old and over | float | 2% | 45 | 993.0, 141.0, 65.0, 220.0, 40.0 |
Population_Total_Total_Total_Recount_15_64_years_old |
Population Total Total Total Recount 15 64 years old | float | 0% | 100 | 1156977.0, 117638.0, 46939.0, 167526.0, 36848.0 |
Population_Total_Total_Total_Recount_65_years_old_and_over |
Population Total Total Total Recount 65 years old and over | float | 0% | 100 | 519290.0, 74479.0, 37184.0, 102344.0, 24044.0 |
Population_Total_Total_Total_Recount_75_years_old_and_over |
Population Total Total Total Recount 75 years old and over | float | 0% | 99 | 252071.0, 38196.0, 19657.0, 52078.0, 12779.0 |
Population_Total_Total_Total_Recount_85_years_old_and_over |
Population Total Total Total Recount 85 years old and over | float | 0% | 97 | 84863.0, 12813.0, 6925.0, 17124.0, 3916.0 |
Population_Total_Total_Total_Recount_20_69_years_old |
Population Total Total Total Recount 20 69 years old | float | 0% | 100 | 1205248.0, 125955.0, 51141.0, 178484.0, 38792.0 |
Population_Total_Total_Never_married_Total |
Population Total Total Never married Total | float | 0% | 100 | 450159.0, 48508.0, 22000.0, 63696.0, 15961.0 |
Population_Total_Total_Never_married_15_19_years_old |
Population Total Total Never married 15 19 years old | float | 0% | 97 | 81010.0, 8713.0, 3843.0, 12792.0, 3162.0 |
Population_Total_Total_Never_married_20_24_years_old |
Population Total Total Never married 20 24 years old | float | 0% | 96 | 79766.0, 7119.0, 3267.0, 9755.0, 3560.0 |
Population_Total_Total_Never_married_25_29_years_old |
Population Total Total Never married 25 29 years old | float | 0% | 99 | 57878.0, 5135.0, 1997.0, 7378.0, 1630.0 |
Population_Total_Total_Never_married_30_34_years_old |
Population Total Total Never married 30 34 years old | float | 0% | 97 | 41178.0, 3675.0, 1518.0, 5128.0, 1035.0 |
Population_Total_Total_Never_married_35_39_years_old |
Population Total Total Never married 35 39 years old | float | 0% | 94 | 33664.0, 3417.0, 1465.0, 4579.0, 971.0 |
| +834 more extension fields — download the CSV/Parquet to see them all. | |||||
Pending (864) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Population_Total_Total_Total_Total_time |
Population_Total_Total_Total_Total_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_15_19_years_old_time |
Population_Total_Total_Total_15_19_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_20_24_years_old_time |
Population_Total_Total_Total_20_24_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_25_29_years_old_time |
Population_Total_Total_Total_25_29_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_30_34_years_old_time |
Population_Total_Total_Total_30_34_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_35_39_years_old_time |
Population_Total_Total_Total_35_39_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_40_44_years_old_time |
Population_Total_Total_Total_40_44_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_45_49_years_old_time |
Population_Total_Total_Total_45_49_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_50_54_years_old_time |
Population_Total_Total_Total_50_54_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_55_59_years_old_time |
Population_Total_Total_Total_55_59_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_60_64_years_old_time |
Population_Total_Total_Total_60_64_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_65_69_years_old_time |
Population_Total_Total_Total_65_69_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_70_74_years_old_time |
Population_Total_Total_Total_70_74_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_75_79_years_old_time |
Population_Total_Total_Total_75_79_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_80_84_years_old_time |
Population_Total_Total_Total_80_84_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_85_89_years_old_time |
Population_Total_Total_Total_85_89_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_90_94_years_old_time |
Population_Total_Total_Total_90_94_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_95_99_years_old_time |
Population_Total_Total_Total_95_99_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_100_years_old_and_over_time |
Population_Total_Total_Total_100_years_old_and_over_time | integer | 2% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_Recount_15_64_years_old_time |
Population_Total_Total_Total_Recount_15_64_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_Recount_65_years_old_and_over_time |
Population_Total_Total_Total_Recount_65_years_old_and_over_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_Recount_75_years_old_and_over_time |
Population_Total_Total_Total_Recount_75_years_old_and_over_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_Recount_85_years_old_and_over_time |
Population_Total_Total_Total_Recount_85_years_old_and_over_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_Recount_20_69_years_old_time |
Population_Total_Total_Total_Recount_20_69_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Never_married_Total_time |
Population_Total_Total_Never_married_Total_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Never_married_15_19_years_old_time |
Population_Total_Total_Never_married_15_19_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Never_married_20_24_years_old_time |
Population_Total_Total_Never_married_20_24_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Never_married_25_29_years_old_time |
Population_Total_Total_Never_married_25_29_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Never_married_30_34_years_old_time |
Population_Total_Total_Never_married_30_34_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Never_married_35_39_years_old_time |
Population_Total_Total_Never_married_35_39_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
| +834 more pending fields — download the CSV/Parquet to see them all. | |||||
JPN e-Stat - Municipal Population By Sex (admin_2)
— 1,740 rows, 10 columns
Loading data…
Field details — 10 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | string | SEL | 0% | 100 | 01100, 01202, 01203, 01204, 01205 |
area_name |
Geographic-area English name as returned by e-Stat | string | SEL | 0% | 100 | Sapporo-shi, Hakodate-shi, Otaru-shi, Asahikawa-shi, Muroran-shi |
admin_level |
Administrative level (admin_0..admin_4) | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
Population_Total |
Population Total | float | SEL | 0% | 100 | 1973395.0, 251084.0, 111299.0, 329306.0, 82383.0 |
Population_Male |
Population Male | float | SEL | 0% | 100 | 918682.0, 113965.0, 50136.0, 152108.0, 40390.0 |
Population_Female |
Population Female | float | SEL | 0% | 99 | 1054713.0, 137119.0, 61163.0, 177198.0, 41993.0 |
Pending (3) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Population_Total_time |
Population_Total_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Male_time |
Population_Male_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Female_time |
Population_Female_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
3
Admin 3
— 3 table(s)
JPN e-Stat - Municipal Economic Census (admin_3)
— 175 rows, 24 columns
Loading data…
Field details — 24 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | integer | SEL | 0% | 100 | 01101, 01102, 01103, 01104, 01105 |
area_name |
Geographic-area English name as returned by e-Stat | string | SEL | 0% | 100 | Sapporo-shi Chuo-ku, Sapporo-shi Kita-ku, Sapporo-shi... |
admin_level |
Administrative level (admin_0..admin_4) | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
Number_of_establishments_Total |
Number_of_establishments_Total | float | SEL | 0% | 99 | 21576.0, 8746.0, 8511.0, 8139.0, 5853.0 |
Number_of_persons_engaged_Male_and_Female_Total |
Number_of_persons_engaged_Male_and_Female_Total | float | SEL | 0% | 100 | 317349.0, 114199.0, 107135.0, 99187.0, 63552.0 |
Pending (18) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Total |
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Total | float | 0% | 99 | 28222.0, 10638.0, 9888.0, 9619.0, 6989.0 |
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Total_time |
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Total_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Privately_owned |
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Privately_owned | float | 0% | 100 | 28044.0, 10520.0, 9799.0, 9547.0, 6913.0 |
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Privately_owned_time |
Number_of_establishments_Including_establishments_not_reported_their_industry_et_Privately_owned_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_establishments_Total_time |
Number_of_establishments_Total_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_establishments_Privately_owned |
Number_of_establishments_Privately_owned | float | 0% | 99 | 21398.0, 8628.0, 8422.0, 8067.0, 5777.0 |
Number_of_establishments_Privately_owned_time |
Number_of_establishments_Privately_owned_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_persons_engaged_Male_and_Female_Total_time |
Number_of_persons_engaged_Male_and_Female_Total_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_persons_engaged_Male_and_Female_Privately_owned |
Number_of_persons_engaged_Male_and_Female_Privately_owned | float | 0% | 100 | 294720.0, 106840.0, 102405.0, 96517.0, 60114.0 |
Number_of_persons_engaged_Male_and_Female_Privately_owned_time |
Number_of_persons_engaged_Male_and_Female_Privately_owned_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_persons_engaged_Male_Total |
Number_of_persons_engaged_Male_Total | float | 0% | 99 | 169985.0, 59098.0, 60169.0, 57655.0, 32358.0 |
Number_of_persons_engaged_Male_Total_time |
Number_of_persons_engaged_Male_Total_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_persons_engaged_Male_Privately_owned |
Number_of_persons_engaged_Male_Privately_owned | float | 0% | 100 | 154375.0, 54423.0, 56985.0, 56027.0, 30304.0 |
Number_of_persons_engaged_Male_Privately_owned_time |
Number_of_persons_engaged_Male_Privately_owned_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_persons_engaged_Female_Total |
Number_of_persons_engaged_Female_Total | float | 0% | 100 | 145031.0, 53951.0, 46561.0, 40970.0, 30185.0 |
Number_of_persons_engaged_Female_Total_time |
Number_of_persons_engaged_Female_Total_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
Number_of_persons_engaged_Female_Privately_owned |
Number_of_persons_engaged_Female_Privately_owned | float | 0% | 100 | 138012.0, 51267.0, 45015.0, 39928.0, 28801.0 |
Number_of_persons_engaged_Female_Privately_owned_time |
Number_of_persons_engaged_Female_Privately_owned_time | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
JPN e-Stat - Municipal Pop Age Marital (admin_3)
— 174 rows, 1,732 columns
Loading data…
Field details — 1732 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | integer | SEL | 0% | 100 | 01101, 01102, 01103, 01104, 01105 |
area_name |
Geographic-area English name as returned by e-Stat | string | SEL | 0% | 100 | Sapporo-shi Chuo-ku, Sapporo-shi Kita-ku, Sapporo-shi... |
admin_level |
Administrative level (admin_0..admin_4) | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
Pending (1728) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Population_Total_Total_Total_Total |
Population_Total_Total_Total_Total | float | 0% | 100 | 213342.0, 243312.0, 220026.0, 185399.0, 198468.0 |
Population_Total_Total_Total_Total_time |
Population_Total_Total_Total_Total_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_15_19_years_old |
Population_Total_Total_Total_15_19_years_old | float | 0% | 100 | 9572.0, 13698.0, 10908.0, 8032.0, 9138.0 |
Population_Total_Total_Total_15_19_years_old_time |
Population_Total_Total_Total_15_19_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_20_24_years_old |
Population_Total_Total_Total_20_24_years_old | float | 0% | 100 | 13006.0, 17675.0, 12718.0, 10492.0, 12340.0 |
Population_Total_Total_Total_20_24_years_old_time |
Population_Total_Total_Total_20_24_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_25_29_years_old |
Population_Total_Total_Total_25_29_years_old | float | 0% | 100 | 15231.0, 13510.0, 13851.0, 13072.0, 14148.0 |
Population_Total_Total_Total_25_29_years_old_time |
Population_Total_Total_Total_25_29_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_30_34_years_old |
Population_Total_Total_Total_30_34_years_old | float | 0% | 99 | 15344.0, 14655.0, 14844.0, 13417.0, 14626.0 |
Population_Total_Total_Total_30_34_years_old_time |
Population_Total_Total_Total_30_34_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_35_39_years_old |
Population_Total_Total_Total_35_39_years_old | float | 0% | 100 | 16324.0, 16737.0, 16372.0, 14067.0, 14876.0 |
Population_Total_Total_Total_35_39_years_old_time |
Population_Total_Total_Total_35_39_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_40_44_years_old |
Population_Total_Total_Total_40_44_years_old | float | 0% | 99 | 17730.0, 19226.0, 18424.0, 15562.0, 16085.0 |
Population_Total_Total_Total_40_44_years_old_time |
Population_Total_Total_Total_40_44_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_45_49_years_old |
Population_Total_Total_Total_45_49_years_old | float | 0% | 99 | 20324.0, 21948.0, 20719.0, 17573.0, 17915.0 |
Population_Total_Total_Total_45_49_years_old_time |
Population_Total_Total_Total_45_49_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_50_54_years_old |
Population_Total_Total_Total_50_54_years_old | float | 0% | 100 | 18439.0, 18713.0, 17629.0, 15433.0, 15730.0 |
Population_Total_Total_Total_50_54_years_old_time |
Population_Total_Total_Total_50_54_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_55_59_years_old |
Population_Total_Total_Total_55_59_years_old | float | 0% | 99 | 16765.0, 17165.0, 15554.0, 13857.0, 14348.0 |
Population_Total_Total_Total_55_59_years_old_time |
Population_Total_Total_Total_55_59_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_60_64_years_old |
Population_Total_Total_Total_60_64_years_old | float | 0% | 100 | 14210.0, 16113.0, 14411.0, 12176.0, 12618.0 |
Population_Total_Total_Total_60_64_years_old_time |
Population_Total_Total_Total_60_64_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_65_69_years_old |
Population_Total_Total_Total_65_69_years_old | float | 0% | 100 | 14042.0, 19014.0, 16392.0, 12862.0, 13529.0 |
Population_Total_Total_Total_65_69_years_old_time |
Population_Total_Total_Total_65_69_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_70_74_years_old |
Population_Total_Total_Total_70_74_years_old | float | 0% | 99 | 14479.0, 19666.0, 17275.0, 13265.0, 14312.0 |
Population_Total_Total_Total_70_74_years_old_time |
Population_Total_Total_Total_70_74_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_75_79_years_old |
Population_Total_Total_Total_75_79_years_old | float | 0% | 99 | 9839.0, 13646.0, 11932.0, 9551.0, 10405.0 |
Population_Total_Total_Total_75_79_years_old_time |
Population_Total_Total_Total_75_79_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Total_Total_Total_80_84_years_old |
Population_Total_Total_Total_80_84_years_old | float | 0% | 98 | 7728.0, 10233.0, 8855.0, 7398.0, 8181.0 |
Population_Total_Total_Total_80_84_years_old_time |
Population_Total_Total_Total_80_84_years_old_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
| +1698 more pending fields — download the CSV/Parquet to see them all. | |||||
JPN e-Stat - Municipal Population By Sex (admin_3)
— 175 rows, 10 columns
Loading data…
Field details — 10 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
area_code |
e-Stat area code (JIS X 0401 prefecture + JIS X 0402 municipality) | integer | SEL | 0% | 100 | 01101, 01102, 01103, 01104, 01105 |
area_name |
Geographic-area English name as returned by e-Stat | string | SEL | 0% | 100 | Sapporo-shi Chuo-ku, Sapporo-shi Kita-ku, Sapporo-shi... |
admin_level |
Administrative level (admin_0..admin_4) | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
Population_Total |
Population_Total | float | SEL | 0% | 100 | 248680.0, 289323.0, 265379.0, 211835.0, 225298.0 |
Population_Male |
Population_Male | float | SEL | 0% | 100 | 112853.0, 136596.0, 126023.0, 100062.0, 104154.0 |
Population_Female |
Population_Female | float | SEL | 0% | 100 | 135827.0, 152727.0, 139356.0, 111773.0, 121144.0 |
Pending (3) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Population_Total_time |
Population_Total_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Male_time |
Population_Male_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
Population_Female_time |
Population_Female_time | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
JPN OCHA HDX (NDVI subnational)
JPN-HDX_NDVI
Environmental
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
1
Admin 1
— 1 table(s)
JPN HDX Ndvi - JPN Ndvi Subnational 5ytd (admin_1)
— 7,614 rows, 10 columns
Loading data…
Field details — 10 fields (type, nulls, unique, samples)
Extension Fields (10)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
admin_level |
admin_level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
date |
date | string | 0% | 100 | 2022-01-01, 2022-01-11, 2022-01-21, 2022-02-01, 2022-02-11 |
adm_level |
adm_level | integer | 0% | 1 | 1, 1, 1, 1, 1 |
adm_id |
adm_id | integer | 0% | 1 | 1651, 1651, 1651, 1651, 1651 |
PCODE |
PCODE | string | 0% | 1 | , , , , |
n_pixels |
n_pixels | float | 0% | 1 | 200.0, 200.0, 200.0, 200.0, 200.0 |
vim |
vim | float | 0% | 100 | 0.5371355, 0.529764, 0.525109, 0.52178997, 0.520157 |
vim_avg |
vim_avg | float | 0% | 36 | 0.5185484, 0.51041394, 0.50447243, 0.49977553, 0.49700418 |
viq |
viq | float | 0% | 100 | 103.26921, 103.45281, 103.72183, 104.004265, 104.23266 |
2
Admin 2
— 1 table(s)
JPN HDX Ndvi - JPN Ndvi Subnational 5ytd (admin_2)
— 488,268 rows, 10 columns
Loading data…
Field details — 10 fields (type, nulls, unique, samples)
Extension Fields (10)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
admin_level |
admin_level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
date |
date | string | 0% | 100 | 2022-01-01, 2022-01-11, 2022-01-21, 2022-02-01, 2022-02-11 |
adm_level |
adm_level | integer | 0% | 1 | 2, 2, 2, 2, 2 |
adm_id |
adm_id | integer | 0% | 1 | 34457, 34457, 34457, 34457, 34457 |
PCODE |
PCODE | string | 0% | 1 | , , , , |
n_pixels |
n_pixels | float | 0% | 1 | 1.0, 1.0, 1.0, 1.0, 1.0 |
vim |
vim | float | 0% | 97 | 0.7187, 0.7161, 0.71419996, 0.71239996, 0.7122 |
vim_avg |
vim_avg | float | 0% | 36 | 0.7009125, 0.6940187, 0.6901625, 0.68803126, 0.68768126 |
viq |
viq | float | 0% | 100 | 102.36878, 102.967834, 103.2476, 103.30186, 103.32376 |
JPN Japan - Economic, Social, Environmental, Health, E
JPN-HDX-Japan_-_Economic,_Social,_Environme
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
JPN Japan - Economic, Social, Environmental, Health, E
— 67,790 rows, 1,810 columns
Loading data…
Field details — 1811 fields (type, nulls, unique, samples)
Extension Fields (1811)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | JPN |
Fertilizer_consumption_pct_of_fertilizer_production |
Fertilizer_consumption_pct_of_fertilizer_production | float | 0% | 1 | 143.793572800672 |
Fertilizer_consumption_kilograms_per_hectare_of_arable_land |
Fertilizer_consumption_kilograms_per_hectare_of_arable_land | float | 0% | 1 | 202.84371909001 |
Agricultural_land_sq._km |
Agricultural_land_sq._km | float | 0% | 1 | 46070.0 |
Agricultural_land_pct_of_land_area |
Agricultural_land_pct_of_land_area | float | 0% | 1 | 12.6368303066246 |
Arable_land_hectares |
Arable_land_hectares | float | 0% | 1 | 4044000.0 |
Arable_land_hectares_per_person |
Arable_land_hectares_per_person | float | 0% | 1 | 0.0324775843230604 |
Arable_land_pct_of_land_area |
Arable_land_pct_of_land_area | float | 0% | 1 | 11.0925421662665 |
Land_under_cereal_production_hectares |
Land_under_cereal_production_hectares | float | 0% | 1 | 1841210.0 |
Permanent_cropland_pct_of_land_area |
Permanent_cropland_pct_of_land_area | float | 0% | 1 | 0.696712589078065 |
Rural_land_area_where_elevation_is_below_5_meters_sq._km |
Rural_land_area_where_elevation_is_below_5_meters_sq._km | float | 0% | 1 | 5490.8246975 |
Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area |
Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area | float | 0% | 1 | 1.48325195697308 |
Forest_area_sq._km |
Forest_area_sq._km | float | 0% | 1 | 249350.0 |
Forest_area_pct_of_land_area |
Forest_area_pct_of_land_area | float | 0% | 1 | 68.3957811364628 |
Agricultural_irrigated_land_pct_of_total_agricultural_land |
Agricultural_irrigated_land_pct_of_total_agricultural_land | float | 0% | 1 | 32.299794661191 |
Average_precipitation_in_depth_mm_per_year |
Average_precipitation_in_depth_mm_per_year | float | 0% | 1 | 1668.0 |
Land_area_sq._km |
Land_area_sq._km | float | 0% | 1 | 364569.27 |
Rural_land_area_sq._km |
Rural_land_area_sq._km | float | 0% | 1 | 316736.20486046 |
Cereal_production_metric_tons |
Cereal_production_metric_tons | float | 0% | 1 | 11498533.52 |
Crop_production_index_2014-2016_=_100 |
Crop_production_index_2014-2016_=_100 | float | 0% | 1 | 94.6 |
Food_production_index_2014-2016_=_100 |
Food_production_index_2014-2016_=_100 | float | 0% | 1 | 100.27 |
Livestock_production_index_2014-2016_=_100 |
Livestock_production_index_2014-2016_=_100 | float | 0% | 1 | 104.84 |
Surface_area_sq._km |
Surface_area_sq._km | float | 0% | 1 | 377969.27 |
Cereal_yield_kg_per_hectare |
Cereal_yield_kg_per_hectare | float | 0% | 1 | 6245.1 |
Access_to_electricity_rural_pct_of_rural_population |
Access_to_electricity_rural_pct_of_rural_population | float | 0% | 1 | 100.0 |
Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ |
Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ | float | 0% | 1 | 0.867822136159523 |
Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal |
Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal | float | 0% | 1 | 66.66666667 |
Agriculture_forestry_and_fishing_value_added_current_USusd |
Agriculture_forestry_and_fishing_value_added_current_USusd | float | 0% | 1 | 39496452070.8984 |
Agriculture_forestry_and_fishing_value_added_pct_of_GDP |
Agriculture_forestry_and_fishing_value_added_pct_of_GDP | float | 0% | 1 | 0.937452748505902 |
Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate |
Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate | float | 0% | 1 | 2.29336010524804 |
| +1781 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN Japan - Health Indicators
JPN-HDX-Japan_-_Health_Indicators
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
JPN Japan - Health Indicators
— 18,175 rows, 17 columns
Loading data…
Field details — 17 fields (type, nulls, unique, samples)
Extension Fields (17)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
GHO (CODE) |
GHO (CODE) | string | 0% | 69 | MORT_100, MORT_100, MORT_200, GHED_CHE_pc_US_SHA2011, NCD_PAA |
GHO (DISPLAY) |
GHO (DISPLAY) | string | 0% | 69 | Number of deaths in children aged <5 years, by cause,... |
GHO (URL) |
GHO (URL) | string | 0% | 67 | https://www.who.int/data/gho/data/indicators/indicator-de... |
YEAR (DISPLAY) |
YEAR (DISPLAY) | string | 0% | 32 | 2019, 2001, 2017, 2014, 2006 |
STARTYEAR |
STARTYEAR | string | 0% | 32 | 2019, 2001, 2017, 2014, 2006 |
ENDYEAR |
ENDYEAR | string | 0% | 32 | 2019, 2001, 2017, 2014, 2006 |
REGION (CODE) |
REGION (CODE) | string | 0% | 1 | WPR, WPR, WPR, WPR, WPR |
REGION (DISPLAY) |
REGION (DISPLAY) | string | 0% | 1 | Western Pacific, Western Pacific, Western Pacific,... |
COUNTRY (CODE) |
COUNTRY (CODE) | string | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
COUNTRY (DISPLAY) |
COUNTRY (DISPLAY) | string | 0% | 1 | Japan, Japan, Japan, Japan, Japan |
DIMENSION (TYPE) |
DIMENSION (TYPE) | string | 14% | 12 | SEX, SEX, AGEGROUP, SEX, TOBACCO_INDICATOR |
DIMENSION (CODE) |
DIMENSION (CODE) | string | 14% | 25 | SEX_BTSX, SEX_BTSX, AGEGROUP_DAYS0-27, SEX_MLE,... |
DIMENSION (NAME) |
DIMENSION (NAME) | string | 14% | 22 | Both sexes, Both sexes, 0-27 days, Male, Other smoked... |
Numeric |
Numeric | float | 20% | 67 | 0.0, 1142.07217, 0.0, 4121.21142578, 29.484329 |
Value |
Value | string | 0% | 73 | 0.0, 1142.1, 0, 4121.21, 29.5 [13.7-50.6] |
Low |
Low | float | 47% | 50 | 13.722679, 0.0, -0.051302813, 4.9, 14.01898 |
High |
High | float | 47% | 51 | 50.564968, 0.0, 0.058384208, 5.1, 15.135565 |
JPN Japan - Education
JPN-HDX-Japan_-_Education
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
JPN Japan - Education
— 13,311 rows, 761 columns
Loading data…
Field details — 762 fields (type, nulls, unique, samples)
Extension Fields (762)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | JPN |
Barro-Lee:_Percentage_of_female_population_age_15-19_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_15-19_with_no_education | float | 0% | 1 | 0.93 |
Barro-Lee:_Percentage_of_population_age_15-19_with_no_education |
Barro-Lee:_Percentage_of_population_age_15-19_with_no_education | float | 0% | 1 | 0.87 |
Barro-Lee:_Percentage_of_female_population_age_15+_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_15+_with_no_education | float | 0% | 1 | 0.15 |
Barro-Lee:_Percentage_of_population_age_15+_with_no_education |
Barro-Lee:_Percentage_of_population_age_15+_with_no_education | float | 0% | 1 | 0.13 |
Barro-Lee:_Percentage_of_female_population_age_20-24_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_20-24_with_no_education | float | 0% | 1 | 0.09 |
Barro-Lee:_Percentage_of_population_age_20-24_with_no_education |
Barro-Lee:_Percentage_of_population_age_20-24_with_no_education | float | 0% | 1 | 0.1 |
Barro-Lee:_Percentage_of_female_population_age_25-29_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_25-29_with_no_education | float | 0% | 1 | 0.06 |
Barro-Lee:_Percentage_of_population_age_25-29_with_no_education |
Barro-Lee:_Percentage_of_population_age_25-29_with_no_education | float | 0% | 1 | 0.06 |
Barro-Lee:_Percentage_of_female_population_age_25+_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_25+_with_no_education | float | 0% | 1 | 0.15 |
Barro-Lee:_Percentage_of_population_age_25+_with_no_education |
Barro-Lee:_Percentage_of_population_age_25+_with_no_education | float | 0% | 1 | 0.12 |
Barro-Lee:_Percentage_of_female_population_age_30-34_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_30-34_with_no_education | float | 0% | 1 | 0.06 |
Barro-Lee:_Percentage_of_population_age_30-34_with_no_education |
Barro-Lee:_Percentage_of_population_age_30-34_with_no_education | float | 0% | 1 | 0.06 |
Barro-Lee:_Percentage_of_female_population_age_35-39_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_35-39_with_no_education | float | 0% | 1 | 0.06 |
Barro-Lee:_Percentage_of_population_age_35-39_with_no_education |
Barro-Lee:_Percentage_of_population_age_35-39_with_no_education | float | 0% | 1 | 0.06 |
Barro-Lee:_Percentage_of_female_population_age_40-44_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_40-44_with_no_education | float | 0% | 1 | 0.06 |
Barro-Lee:_Percentage_of_population_age_40-44_with_no_education |
Barro-Lee:_Percentage_of_population_age_40-44_with_no_education | float | 0% | 1 | 0.06 |
Barro-Lee:_Percentage_of_female_population_age_45-49_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_45-49_with_no_education | float | 0% | 1 | 0.09 |
Barro-Lee:_Percentage_of_population_age_45-49_with_no_education |
Barro-Lee:_Percentage_of_population_age_45-49_with_no_education | float | 0% | 1 | 0.09 |
Barro-Lee:_Percentage_of_female_population_age_50-54_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_50-54_with_no_education | float | 0% | 1 | 0.09 |
Barro-Lee:_Percentage_of_population_age_50-54_with_no_education |
Barro-Lee:_Percentage_of_population_age_50-54_with_no_education | float | 0% | 1 | 0.09 |
Barro-Lee:_Percentage_of_female_population_age_55-59_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_55-59_with_no_education | float | 0% | 1 | 0.1 |
Barro-Lee:_Percentage_of_population_age_55-59_with_no_education |
Barro-Lee:_Percentage_of_population_age_55-59_with_no_education | float | 0% | 1 | 0.09 |
Barro-Lee:_Percentage_of_female_population_age_60-64_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_60-64_with_no_education | float | 0% | 1 | 0.1 |
Barro-Lee:_Percentage_of_population_age_60-64_with_no_education |
Barro-Lee:_Percentage_of_population_age_60-64_with_no_education | float | 0% | 1 | 0.09 |
Barro-Lee:_Population_in_thousands_age_15-19_total |
Barro-Lee:_Population_in_thousands_age_15-19_total | float | 0% | 1 | 6026.0 |
Barro-Lee:_Population_in_thousands_age_15-19_female |
Barro-Lee:_Population_in_thousands_age_15-19_female | float | 0% | 1 | 2942.0 |
Barro-Lee:_Population_in_thousands_age_15+_total |
Barro-Lee:_Population_in_thousands_age_15+_total | float | 0% | 1 | 110797.0 |
Barro-Lee:_Population_in_thousands_age_15+_female |
Barro-Lee:_Population_in_thousands_age_15+_female | float | 0% | 1 | 57243.0 |
Barro-Lee:_Population_in_thousands_age_20-24_total |
Barro-Lee:_Population_in_thousands_age_20-24_total | float | 0% | 1 | 6611.0 |
| +732 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN Japan - Gender
JPN-HDX-Japan_-_Gender
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
JPN Japan - Gender
— 3,514 rows, 132 columns
Loading data…
Field details — 133 fields (type, nulls, unique, samples)
Extension Fields (133)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | JPN |
School_enrollment_primary_gross_gender_parity_index_GPI |
School_enrollment_primary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.00253999233246 |
School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI |
School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.0034099817276 |
School_enrollment_secondary_gross_gender_parity_index_GPI |
School_enrollment_secondary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.00423002243042 |
School_enrollment_tertiary_gross_gender_parity_index_GPI |
School_enrollment_tertiary_gross_gender_parity_index_GPI | float | 0% | 1 | 0.980690002441406 |
School_enrollment_preprimary_female_pct_gross |
School_enrollment_preprimary_female_pct_gross | float | 0% | 1 | 82.7969207763672 |
School_enrollment_preprimary_male_pct_gross |
School_enrollment_preprimary_male_pct_gross | float | 0% | 1 | 80.7868194580078 |
Educational_attainment_at_least_completed_primary_population_25+_years_female_pc |
Educational_attainment_at_least_completed_primary_population_25+_years_female_pc | float | 0% | 1 | 99.6100006103516 |
Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_ |
Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_ | float | 0% | 1 | 99.5699996948242 |
Educational_attainment_at_least_completed_primary_population_25+_years_total_pct |
Educational_attainment_at_least_completed_primary_population_25+_years_total_pct | float | 0% | 1 | 99.5899963378906 |
Primary_education_pupils_pct_female |
Primary_education_pupils_pct_female | float | 0% | 1 | 48.75264 |
School_enrollment_primary_female_pct_gross |
School_enrollment_primary_female_pct_gross | float | 0% | 1 | 102.426200866699 |
School_enrollment_primary_male_pct_gross |
School_enrollment_primary_male_pct_gross | float | 0% | 1 | 102.563247680664 |
Persistence_to_grade_5_female_pct_of_cohort |
Persistence_to_grade_5_female_pct_of_cohort | float | 0% | 1 | 99.9914398193359 |
Persistence_to_grade_5_male_pct_of_cohort |
Persistence_to_grade_5_male_pct_of_cohort | float | 0% | 1 | 99.9708099365234 |
Persistence_to_last_grade_of_primary_female_pct_of_cohort |
Persistence_to_last_grade_of_primary_female_pct_of_cohort | float | 0% | 1 | 99.9914398193359 |
Persistence_to_last_grade_of_primary_male_pct_of_cohort |
Persistence_to_last_grade_of_primary_male_pct_of_cohort | float | 0% | 1 | 99.9592590332031 |
Repeaters_primary_female_pct_of_female_enrollment |
Repeaters_primary_female_pct_of_female_enrollment | float | 0% | 1 | 0.0 |
Repeaters_primary_male_pct_of_male_enrollment |
Repeaters_primary_male_pct_of_male_enrollment | float | 0% | 1 | 0.0 |
Primary_education_teachers_pct_female |
Primary_education_teachers_pct_female | float | 0% | 1 | 70.3694229125977 |
Educational_attainment_at_least_completed_lower_secondary_population_25+_female_ |
Educational_attainment_at_least_completed_lower_secondary_population_25+_female_ | float | 0% | 1 | 98.2099990844727 |
Educational_attainment_at_least_completed_lower_secondary_population_25+_male_pc |
Educational_attainment_at_least_completed_lower_secondary_population_25+_male_pc | float | 0% | 1 | 99.0599975585938 |
Educational_attainment_at_least_completed_lower_secondary_population_25+_total_p |
Educational_attainment_at_least_completed_lower_secondary_population_25+_total_p | float | 0% | 1 | 98.620002746582 |
Educational_attainment_at_least_completed_post-secondary_population_25+_female_p |
Educational_attainment_at_least_completed_post-secondary_population_25+_female_p | float | 0% | 1 | 39.4500007629395 |
Educational_attainment_at_least_completed_post-secondary_population_25+_male_pct |
Educational_attainment_at_least_completed_post-secondary_population_25+_male_pct | float | 0% | 1 | 44.0400009155273 |
Educational_attainment_at_least_completed_post-secondary_population_25+_total_pc |
Educational_attainment_at_least_completed_post-secondary_population_25+_total_pc | float | 0% | 1 | 41.6300010681152 |
Educational_attainment_at_least_completed_upper_secondary_population_25+_female_ |
Educational_attainment_at_least_completed_upper_secondary_population_25+_female_ | float | 0% | 1 | 84.3499984741211 |
Educational_attainment_at_least_completed_upper_secondary_population_25+_male_pc |
Educational_attainment_at_least_completed_upper_secondary_population_25+_male_pc | float | 0% | 1 | 86.0899963378906 |
Educational_attainment_at_least_completed_upper_secondary_population_25+_total_p |
Educational_attainment_at_least_completed_upper_secondary_population_25+_total_p | float | 0% | 1 | 85.1800003051758 |
Secondary_education_pupils_pct_female |
Secondary_education_pupils_pct_female | float | 0% | 1 | 48.80558 |
| +103 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN Japan - Social Protection and Labor
JPN-HDX-Japan_-_Social_Protection_and_Labor
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
JPN Japan - Social Protection And Labor
— 3,131 rows, 85 columns
Loading data…
Field details — 86 fields (type, nulls, unique, samples)
Extension Fields (86)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | JPN |
Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate |
Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate | float | 0% | 1 | 2.29336010524804 |
Employment_in_agriculture_male_pct_of_male_employment_modeled_ILO_estimate |
Employment_in_agriculture_male_pct_of_male_employment_modeled_ILO_estimate | float | 0% | 1 | 3.24821287797992 |
Employment_in_agriculture_pct_of_total_employment_modeled_ILO_estimate |
Employment_in_agriculture_pct_of_total_employment_modeled_ILO_estimate | float | 0% | 1 | 2.81371149789044 |
Employment_to_population_ratio_ages_15-24_female_pct_national_estimate |
Employment_to_population_ratio_ages_15-24_female_pct_national_estimate | float | 0% | 1 | 50.191 |
Employment_to_population_ratio_ages_15-24_female_pct_modeled_ILO_estimate |
Employment_to_population_ratio_ages_15-24_female_pct_modeled_ILO_estimate | float | 0% | 1 | 50.517 |
Employment_to_population_ratio_ages_15-24_male_pct_national_estimate |
Employment_to_population_ratio_ages_15-24_male_pct_national_estimate | float | 0% | 1 | 47.593 |
Employment_to_population_ratio_ages_15-24_male_pct_modeled_ILO_estimate |
Employment_to_population_ratio_ages_15-24_male_pct_modeled_ILO_estimate | float | 0% | 1 | 47.876 |
Employment_to_population_ratio_ages_15-24_total_pct_national_estimate |
Employment_to_population_ratio_ages_15-24_total_pct_national_estimate | float | 0% | 1 | 48.818 |
Employment_to_population_ratio_ages_15-24_total_pct_modeled_ILO_estimate |
Employment_to_population_ratio_ages_15-24_total_pct_modeled_ILO_estimate | float | 0% | 1 | 49.163 |
Employers_female_pct_of_female_employment_modeled_ILO_estimate |
Employers_female_pct_of_female_employment_modeled_ILO_estimate | float | 0% | 1 | 0.640938926818693 |
Employers_male_pct_of_male_employment_modeled_ILO_estimate |
Employers_male_pct_of_male_employment_modeled_ILO_estimate | float | 0% | 1 | 2.33380682774014 |
Employers_total_pct_of_total_employment_modeled_ILO_estimate |
Employers_total_pct_of_total_employment_modeled_ILO_estimate | float | 0% | 1 | 1.56347509536615 |
Self-employed_female_pct_of_female_employment_modeled_ILO_estimate |
Self-employed_female_pct_of_female_employment_modeled_ILO_estimate | float | 0% | 1 | 7.51877387992717 |
Self-employed_male_pct_of_male_employment_modeled_ILO_estimate |
Self-employed_male_pct_of_male_employment_modeled_ILO_estimate | float | 0% | 1 | 10.3301000915369 |
Self-employed_total_pct_of_total_employment_modeled_ILO_estimate |
Self-employed_total_pct_of_total_employment_modeled_ILO_estimate | float | 0% | 1 | 9.05081758353661 |
Female_share_of_employment_in_senior_and_middle_management_pct |
Female_share_of_employment_in_senior_and_middle_management_pct | float | 0% | 1 | 13.269 |
Employment_to_population_ratio_15+_female_pct_national_estimate |
Employment_to_population_ratio_15+_female_pct_national_estimate | float | 0% | 1 | 54.271 |
Employment_to_population_ratio_15+_female_pct_modeled_ILO_estimate |
Employment_to_population_ratio_15+_female_pct_modeled_ILO_estimate | float | 0% | 1 | 54.621 |
Employment_to_population_ratio_15+_male_pct_national_estimate |
Employment_to_population_ratio_15+_male_pct_national_estimate | float | 0% | 1 | 69.662 |
Employment_to_population_ratio_15+_male_pct_modeled_ILO_estimate |
Employment_to_population_ratio_15+_male_pct_modeled_ILO_estimate | float | 0% | 1 | 69.634 |
Employment_to_population_ratio_15+_total_pct_national_estimate |
Employment_to_population_ratio_15+_total_pct_national_estimate | float | 0% | 1 | 61.709 |
Employment_to_population_ratio_15+_total_pct_modeled_ILO_estimate |
Employment_to_population_ratio_15+_total_pct_modeled_ILO_estimate | float | 0% | 1 | 61.893 |
Vulnerable_employment_female_pct_of_female_employment_modeled_ILO_estimate |
Vulnerable_employment_female_pct_of_female_employment_modeled_ILO_estimate | float | 0% | 1 | 6.87783495310848 |
Vulnerable_employment_male_pct_of_male_employment_modeled_ILO_estimate |
Vulnerable_employment_male_pct_of_male_employment_modeled_ILO_estimate | float | 0% | 1 | 7.9962932637968 |
Vulnerable_employment_total_pct_of_total_employment_modeled_ILO_estimate |
Vulnerable_employment_total_pct_of_total_employment_modeled_ILO_estimate | float | 0% | 1 | 7.48734248817046 |
Wage_and_salaried_workers_female_pct_of_female_employment_modeled_ILO_estimate |
Wage_and_salaried_workers_female_pct_of_female_employment_modeled_ILO_estimate | float | 0% | 1 | 92.4812228706334 |
Wage_and_salaried_workers_male_pct_of_male_employment_modeled_ILO_estimate |
Wage_and_salaried_workers_male_pct_of_male_employment_modeled_ILO_estimate | float | 0% | 1 | 89.6698999084631 |
Wage_and_salaried_workers_total_pct_of_total_employment_modeled_ILO_estimate |
Wage_and_salaried_workers_total_pct_of_total_employment_modeled_ILO_estimate | float | 0% | 1 | 90.949180937821 |
Contributing_family_workers_female_pct_of_female_employment_modeled_ILO_estimate |
Contributing_family_workers_female_pct_of_female_employment_modeled_ILO_estimate | float | 0% | 1 | 2.97839067548664 |
| +56 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN Japan - Human Development Indicators
JPN-HDX-Japan_-_Human_Development_Indicator
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
JPN Japan - Human Development Indicators
— 958 rows, 36 columns
Loading data…
Field details — 37 fields (type, nulls, unique, samples)
Extension Fields (37)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | JPN |
abr |
abr | float | 0% | 1 | 1.737 |
co2_prod |
co2_prod | float | 0% | 1 | 8.02 |
coef_ineq |
coef_ineq | float | 0% | 1 | 8.474 |
diff_hdi_phdi |
diff_hdi_phdi | float | 0% | 1 | 15.135 |
eys |
eys | float | 0% | 1 | 15.512 |
eys_f |
eys_f | float | 0% | 1 | 15.476 |
eys_m |
eys_m | float | 0% | 1 | 15.546 |
gdi_group |
gdi_group | float | 0% | 1 | 2.0 |
gii_rank |
gii_rank | float | 0% | 1 | 22.0 |
gni_pc_f |
gni_pc_f | float | 0% | 1 | 37016.985 |
gni_pc_m |
gni_pc_m | float | 0% | 1 | 59058.772 |
gnipc |
gnipc | float | 0% | 1 | 47774.61 |
hdi_f |
hdi_f | float | 0% | 1 | 0.909 |
hdi_m |
hdi_m | float | 0% | 1 | 0.938 |
hdi_rank |
hdi_rank | float | 0% | 1 | 23.0 |
ineq_edu |
ineq_edu | float | 0% | 1 | 5.752 |
ineq_inc |
ineq_inc | float | 0% | 1 | 17.123 |
ineq_le |
ineq_le | float | 0% | 1 | 2.546 |
le |
le | float | 0% | 1 | 84.712 |
le_f |
le_f | float | 0% | 1 | 87.741 |
le_m |
le_m | float | 0% | 1 | 81.688 |
lfpr_f |
lfpr_f | float | 0% | 1 | 54.8 |
lfpr_m |
lfpr_m | float | 0% | 1 | 71.4 |
loss |
loss | float | 0% | 1 | 8.649 |
mf |
mf | float | 0% | 1 | 17.895 |
mmr |
mmr | float | 0% | 1 | 4.315 |
mys |
mys | float | 0% | 1 | 12.684 |
mys_f |
mys_f | float | 0% | 1 | 12.364 |
mys_m |
mys_m | float | 0% | 1 | 13.033 |
| +7 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN Japan - Urban Development
JPN-HDX-Japan_-_Urban_Development
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
JPN Japan - Urban Development
— 631 rows, 18 columns
Loading data…
Field details — 19 fields (type, nulls, unique, samples)
Extension Fields (19)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | JPN |
Urban_land_area_where_elevation_is_below_5_meters_sq._km |
Urban_land_area_where_elevation_is_below_5_meters_sq._km | float | 0% | 1 | 6558.79841573 |
Urban_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area |
Urban_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area | float | 0% | 1 | 1.77174670864157 |
Urban_land_area_sq._km |
Urban_land_area_sq._km | float | 0% | 1 | 53452.06097573 |
Access_to_electricity_urban_pct_of_urban_population |
Access_to_electricity_urban_pct_of_urban_population | float | 0% | 1 | 100.0 |
PM2.5_air_pollution_mean_annual_exposure_micrograms_per_cubic_meter |
PM2.5_air_pollution_mean_annual_exposure_micrograms_per_cubic_meter | float | 0% | 1 | 12.835201662985 |
PM2.5_air_pollution_population_exposed_to_levels_exceeding_WHO_guideline_value_p |
PM2.5_air_pollution_population_exposed_to_levels_exceeding_WHO_guideline_value_p | float | 0% | 1 | 76.7615082281987 |
Population_density_people_per_sq._km_of_land_area |
Population_density_people_per_sq._km_of_land_area | float | 0% | 1 | 341.54455749932 |
Urban_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ |
Urban_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ | float | 0% | 1 | 11.5747621193697 |
Population_living_in_slums_pct_of_urban_population |
Population_living_in_slums_pct_of_urban_population | float | 0% | 1 | 2.0 |
Population_in_largest_city |
Population_in_largest_city | float | 0% | 1 | 37036204.0 |
Population_in_the_largest_city_pct_of_urban_population |
Population_in_the_largest_city_pct_of_urban_population | float | 0% | 1 | 32.5680112680688 |
Population_in_urban_agglomerations_of_more_than_1_million |
Population_in_urban_agglomerations_of_more_than_1_million | float | 0% | 1 | 80938069.0 |
Population_in_urban_agglomerations_of_more_than_1_million_pct_of_total_populatio |
Population_in_urban_agglomerations_of_more_than_1_million_pct_of_total_populatio | float | 0% | 1 | 65.6931359343046 |
Mortality_caused_by_road_traffic_injury_per_100000_population |
Mortality_caused_by_road_traffic_injury_per_100000_population | float | 0% | 1 | 3.6 |
Urban_population_growth_annual_pct |
Urban_population_growth_annual_pct | float | 0% | 1 | -0.318996369716406 |
Urban_population |
Urban_population | float | 0% | 1 | 114293108.0 |
Urban_population_pct_of_total_population |
Urban_population_pct_of_total_population | float | 0% | 1 | 92.1901718034531 |
year |
Reference year | integer | 0% | - | - |
JPN Japan - Demographic, Health, Education and Transpo
JPN-HDX-Japan_-_Demographic,_Health,_Educat
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
JPN Japan - Demographic, Health, Education And Transpo
— 471 rows, 11 columns
Loading data…
Field details — 11 fields (type, nulls, unique, samples)
Extension Fields (11)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
category |
category | string | 0% | 6 | City prosperity, Streets, Crime, Crime, Transport |
indicator |
indicator | string | 0% | 22 | cpi_4_dimensions, road_density_national_roads,... |
indicator_friendly |
indicator_friendly | string | 0% | 22 | City Prosperity Index with 4 dimensions, Road density... |
type_data |
type_data | string | 0% | 5 | p, n, 000 population, 000 population, n |
latitude |
latitude | string | 0% | 9 | 35.685017, 36, n, n, 36 |
longitude |
longitude | string | 0% | 9 | 139.751407, 138, 36, 36, 138 |
region_id |
region_id | string | 0% | 2 | 789, 789, 138, 138, 789 |
country_id |
country_id | string | 0% | 2 | JP, JP, 789, 789, JP |
name |
name | string | 0% | 9 | Tokyo, Japan, JP, JP, Japan |
year |
year | string | 0% | 23 | 2012, 2009, Japan, Japan, 2000 |
value |
value | string | 0% | 69 | 0.925, 320, 2001, 2002, 327632 |
JPN World Bank Open Data
JPN-WORLD_BANK
Development Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 3 table(s)
JPN World Bank - Development Indicators
— 66 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | JP, JP, JP, JP, JP |
population_count |
Population count | float | SEL | 2% | 64 | 93216000.0, 94055000.0, 94933000.0, 95900000.0, 96903000.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 67.6956097560976, 68.3519512195122, 68.6348780487805,... |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 508.702779291773, 608.864581144951, 684.565509797705,... |
literacy_rate_pct |
Literacy rate percent | string | SEL | 100% | - | - |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 58 | 39.7, 36.2, 32.9, 29.8, 27.0 |
poverty_headcount_pct |
Poverty headcount percent | string | SEL | 100% | - | - |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Japan, Japan, Japan, Japan, Japan |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
JPN World Bank - Health Indicators
— 66 rows, 14 columns
Loading data…
Field details — 14 fields (type, nulls, unique, samples)
Standards-Aligned Fields (12)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | JP, JP, JP, JP, JP |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 67.6956097560976, 68.3519512195122, 68.6348780487805,... |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 15% | 40 | 9.7, 9.1, 8.7, 8.2, 7.8 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 58 | 39.7, 36.2, 32.9, 29.8, 27.0 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 17 | 19.0, 18.0, 17.0, 16.0, 15.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 42 | 2.0, 1.96, 1.98, 2.0, 2.05 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 53 | 17.2, 16.9, 17.0, 17.3, 17.7 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 37 | 7.6, 7.4, 7.5, 7.0, 6.9 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 41% | 22 | 1.0, 1.0, 1.0, 1.0, 1.0 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 49% | 34 | 9.0, 12.5, 13.6999998092651, 14.6999998092651, 15.6000003815 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 19 | 60.0, 75.0, 81.0, 80.0, 82.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 7.03456163, 7.23947906, 7.35235405, 7.48654842, 7.53518438 |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Japan, Japan, Japan, Japan, Japan |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
JPN World Bank - Migration Indicators
— 66 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Pending (9) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
country_name |
country_name | string | 0% | 1 | Japan, Japan, Japan, Japan, Japan |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
intl_migrant_stock |
intl_migrant_stock | float | 88% | 8 | 1050475.0, 1331094.0, 1651869.0, 1976528.0, 2161780.0 |
intl_migrant_stock_pct |
intl_migrant_stock_pct | float | 88% | 8 | 0.9, 1.1, 1.3, 1.5, 1.7 |
net_migration |
net_migration | float | 0% | 65 | -150371.0, -58882.0, -57075.0, -100742.0, -100696.0 |
remittances_received_usd |
remittances_received_usd | float | 35% | 42 | 90000000.0, 130000000.0, 160000000.0, 140000000.0, 190000000.0 |
remittances_received_pct_gdp |
remittances_received_pct_gdp | float | 35% | 43 | 0.0119586917794576, 0.0122940770692712,... |
remittances_paid_usd |
remittances_paid_usd | float | 35% | 43 | 130000000.0, 160000000.0, 200000000.0, 220000000.0, 240000000.0 |
JPN LandScan Global (ORNL)
JPN-LANDSCAN
Modeled Population
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
JPN LandScan - Population Admin0 (admin_0)
— 1 rows, 7 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | JPN |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Japan |
admin_code |
Admin code | string | SEL | 0% | 1 | 22093344B50624940221487 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 378051.8643 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 122334443 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 323.59 |
1
Admin 1
— 1 table(s)
JPN LandScan - Population Admin1 (admin_1)
— 47 rows, 7 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_name |
Admin name | string | SEL | 0% | 47 | Tokyo, Kanagawa, Osaka Prefecture, Aichi Prefecture, Saitama |
admin_code |
Admin code | string | SEL | 0% | 47 | 47310658B199342310790, 47310658B16920518838967,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 47 | 2189.319, 2419.9969, 1911.9163, 5171.0362, 3797.7298 |
pop_2024 |
Population count | integer | SEL | 0% | 47 | 13698993, 8950051, 8619124, 7341273, 7182858 |
pop_density_2024 |
Population density | float | SEL | 0% | 47 | 6257.19, 3698.37, 4508.11, 1419.69, 1891.36 |
Locality
Locality
— 1 table(s)
JPN LandScan - Cities (locality)
— 135 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 100 | Tokyo, Osaka, Nagoya, Fukuoka, Sapporo |
admin_code |
Admin code | integer | SEL | 0% | 100 | 5929, 4399, 5213, 907, 351 |
area_sqkm |
Area sqkm | float | SEL | 0% | 100 | 5153.8738, 2206.7643, 2386.561, 448.8311, 352.8406 |
pop_2024 |
Population count | integer | SEL | 0% | 100 | 33244670, 13767320, 7482025, 2340208, 1980880 |
pop_density_2024 |
Population density | float | SEL | 0% | 100 | 6450.42, 6238.69, 3135.07, 5214.01, 5614.09 |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 100 | 33155907, 12653994, 7721742, 2213305, 1931424 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 90 | 1.003, 1.088, 0.969, 1.057, 1.026 |
JPN GHS Urban Centre Database (EU JRC)
JPN-GHSL_UCDB
Modeled Population
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
Locality
Locality
— 1 table(s)
JPN GHS-UCDB - Cities (locality)
— 135 rows, 10 columns
Loading data…
Field details — 10 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 100 | Tokyo, Osaka, Nagoya, Fukuoka, Sapporo |
country_code |
Country code | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
population |
Population count | integer | SEL | 0% | 100 | 33155907, 12653994, 7721742, 2213305, 1931424 |
Extension Fields (7)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 100 | 5929, 4399, 5213, 907, 351 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Japan, Japan, Japan, Japan, Japan |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
JPN UNHCR Refugee Data Finder
JPN-UNHCR
Migration
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 2 table(s)
JPN UNHCR - Hosted Populations
— 49 rows, 24 columns
Loading data…
Field details — 24 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
Extension Fields (18)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
JPN UNHCR - Origin Populations
— 28 rows, 24 columns
Loading data…
Field details — 24 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
Extension Fields (18)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
JPN Google Community Mobility (2020-2022)
JPN-GOOGLE-MOBILITY
Mobility
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
1
Admin 1
— 1 table(s)
JPN Mobility by Region
— 47 rows, 11 columns
Loading data…
Field details — 11 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | JP, JP, JP, JP, JP |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN, JPN |
Extension Fields (8)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 47 | -10.86, 0.96, -0.83, -9.63, -8.56 |
grocery |
grocery | float | 0% | 45 | 2.11, 7.62, 3.28, 3.08, 2.34 |
parks |
parks | float | 0% | 47 | -8.74, 49.86, 18.64, -6.6, 3.66 |
transit |
transit | float | 0% | 47 | -23.86, -11.07, -11.82, -26.28, -18.49 |
workplaces |
workplaces | float | 0% | 46 | -12.16, -8.74, -9.2, -15.45, -9.08 |
residential |
residential | float | 0% | 43 | 6.38, 3.64, 3.27, 8.29, 4.93 |
region |
region | string | 0% | 47 | Aichi, Akita, Aomori, Chiba, Ehime |
observation_count |
observation_count | integer | 0% | 1 | 974, 974, 974, 974, 974 |
JPN Glottolog Language Catalog
JPN-GLOTTOLOG
Language
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
JPN Glottolog - Languages
— 25 rows, 16 columns
Loading data…
Field details — 16 fields (type, nulls, unique, samples)
Standards-Aligned Fields (12)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 25 | ainu1240, amam1247, boni1239, cent2126, hach1239 |
name |
Name | string | CCL | 0% | 25 | Hokkaido Ainu, Amami O Shima Sign Language, Bonin... |
iso639_3 |
Iso639 3 | string | CCL | 28% | 18 | ain, jks, ryu, jsl, kzg |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 5 | ainu1252, sign1238, pidg1258, japo1237, japo1237 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 16 | hokk1250, deaf1237, engl1287, okin1244, japo1237 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 8 | 2, 0, 0, 4, 0 |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 4% | 24 | 43.633654, 28.268372, 27.07, 26.14854, 33.109444 |
longitude |
longitude | float | 4% | 24 | 142.46167, 129.358991, 142.21, 127.7816, 139.791389 |
country_codes |
Country codes | string | 0% | 2 | ['JP'], ['JP'], ['JP'], ['JP'], ['JP'] |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
JPN OpenFactBook
JPN-OPENFACTBOOK
Country Profile
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 16 table(s)
JPN OpenFactBook - Communications
— 1 rows, 21 columns
Loading data…
Field details — 22 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 48.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 168.0 |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 87.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 39.0 |
country_code |
Country code | string | SEL | 0% | 1 | JPN |
country_name |
Country name | string | SEL | 0% | 1 | Japan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (15)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
telephones_fixed_lines_total_subscriptions_text |
telephones_fixed_lines_total_subscriptions_text | string | 0% | 1 | 59.758 million (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 59.758 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 48 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 219 million (2023 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 219.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 168 (2022 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | a mix of public and commercial TV and radio stations; 5... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 5.0 |
internet_country_code_text |
Internet country code text | string | 0% | 1 | .jp |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 87% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 47.9 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 47.9 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 39 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/ja.json |
JPN OpenFactBook - Economy
— 1 rows, 146 columns
Loading data…
Field details — 151 fields (type, nulls, unique, samples)
Standards-Aligned Fields (5)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
real_gdp_per_capita_real_gdp_per_capita_2024_numeric |
Real gdp per capita 2024 (numeric) | float | SEL | 0% | 1 | 46100.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 4.026 |
country_code |
Country code | string | SEL | 0% | 1 | JPN |
country_name |
Country name | string | SEL | 0% | 1 | Japan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (146)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
economic_overview_text |
economic_overview_text | string | 0% | 1 | second-largest East Asian economy; trade-oriented and... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $5.715 trillion (2024 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric |
Real gdp purchasing power parity 2024 (numeric) | float | 0% | 1 | 5.715 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $5.71 trillion (2023 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric |
Real gdp purchasing power parity 2023 (numeric) | float | 0% | 1 | 5.71 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $5.627 trillion (2022 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric |
Real gdp purchasing power parity 2022 (numeric) | float | 0% | 1 | 5.627 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2021 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2024_text |
Real gdp growth rate 2024 (text) | string | 0% | 1 | 0.1% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 0.1 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 1.5% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 1.5 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 0.9% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 0.9 |
real_gdp_growth_rate_note |
real_gdp_growth_rate_note | string | 0% | 1 | note: annual GDP % growth based on constant local currency |
real_gdp_per_capita_real_gdp_per_capita_2024_text |
Real gdp per capita 2024 (text) | string | 0% | 1 | $46,100 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $45,900 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 45900.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $45,000 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 45000.0 |
real_gdp_per_capita_note |
real_gdp_per_capita_note | string | 0% | 1 | note: data in 2021 dollars |
gdp_official_exchange_rate_text |
gdp_official_exchange_rate_text | string | 0% | 1 | $4.026 trillion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 2.7% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 2.7 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 3.3% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 3.3 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 2.5% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 2.5 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 0.9% (2023 est.) |
| +116 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN OpenFactBook - Energy
— 1 rows, 65 columns
Loading data…
Field details — 65 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
electricity_access_electrification_total_population_numeric |
Electricity access percent | float | SEL | 0% | 1 | 100.0 |
country_code |
Country code | string | SEL | 0% | 1 | JPN |
country_name |
Country name | string | SEL | 0% | 1 | Japan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (61)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
electricity_access_electrification_total_population_text |
electricity_access_electrification_total_population_text | string | 0% | 1 | 100% (2022 est.) |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 361.617 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 361.617 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 902.769 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 902.769 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 41.79 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 41.79 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 65.8% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 65.8 |
electricity_generation_sources_nuclear_text |
electricity_generation_sources_nuclear_text | string | 0% | 1 | 8.9% of total installed capacity (2023 est.) |
electricity_generation_sources_nuclear_numeric |
electricity_generation_sources_nuclear_numeric | float | 0% | 1 | 8.9 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 10.3% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 10.3 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 1.1% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 1.1 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 7.1% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 7.1 |
electricity_generation_sources_geothermal_text |
electricity_generation_sources_geothermal_text | string | 0% | 1 | 0.3% of total installed capacity (2023 est.) |
electricity_generation_sources_geothermal_numeric |
electricity_generation_sources_geothermal_numeric | float | 0% | 1 | 0.3 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 6.5% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 6.5 |
nuclear_energy_number_of_operational_nuclear_reactors_text |
nuclear_energy_number_of_operational_nuclear_reactors_text | string | 0% | 1 | 14 (2025) |
nuclear_energy_number_of_operational_nuclear_reactors_numeric |
nuclear_energy_number_of_operational_nuclear_reactors_numeric | float | 0% | 1 | 14.0 |
nuclear_energy_number_of_nuclear_reactors_under_construction_text |
nuclear_energy_number_of_nuclear_reactors_under_construction_text | string | 0% | 1 | 2 (2025) |
nuclear_energy_number_of_nuclear_reactors_under_construction_numeric |
nuclear_energy_number_of_nuclear_reactors_under_construction_numeric | float | 0% | 1 | 2.0 |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_text |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_text | string | 0% | 1 | 12.63GW (2025 est.) |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric | float | 0% | 1 | 12.63 |
nuclear_energy_percent_of_total_electricity_production_text |
nuclear_energy_percent_of_total_electricity_production_text | string | 0% | 1 | 5.5% (2023 est.) |
nuclear_energy_percent_of_total_electricity_production_numeric |
nuclear_energy_percent_of_total_electricity_production_numeric | float | 0% | 1 | 5.5 |
nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_text |
nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_text | string | 0% | 1 | 27 (2025) |
| +31 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN OpenFactBook - Environment
— 1 rows, 54 columns
Loading data…
Field details — 61 fields (type, nulls, unique, samples)
Standards-Aligned Fields (8)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 12.6 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 68.3 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 92.0 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | -0.25 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 42.72 |
country_code |
Country code | string | SEL | 0% | 1 | JPN |
country_name |
Country name | string | SEL | 0% | 1 | Japan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (53)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | air pollution from power plants results in acid rain;... |
environmental_issues_numeric |
environmental_issues_numeric | float | 0% | 1 | 2011.0 |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Antarctic-Environmental Protection, Antarctic-Marine... |
international_environmental_agreements_party_to_numeric |
international_environmental_agreements_party_to_numeric | float | 0% | 1 | 2006.0 |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | none of the selected agreements |
climate_text |
climate_text | string | 0% | 1 | varies from tropical in south to cool temperate in north |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 12.6% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 11.1% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 11.1 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.7% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.7 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 0.9% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 0.9 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 68.3% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 19% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 19.0 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 92% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | -0.25% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 960.23 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 960.23 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 367.144 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric | float | 0% | 1 | 367.144 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 403.042 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric | float | 0% | 1 | 403.042 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 190.043 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric | float | 0% | 1 | 190.043 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 10.5 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 10.5 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 214.7 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 214.7 |
| +23 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN OpenFactBook - Ethnic Groups
— 1 rows, 8 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | JPN |
country_name |
Country name | string | SEL | 0% | 1 | Japan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (6)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
nationality_noun_text |
nationality_noun_text | string | 0% | 1 | Japanese (singular and plural) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Japanese |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Japanese 97.5%, Chinese 0.6%, Vietnam 0.4%, South Korean... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 97.5 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/ja.json |
JPN OpenFactBook - Geography
— 1 rows, 53 columns
Loading data…
Field details — 57 fields (type, nulls, unique, samples)
Standards-Aligned Fields (13)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 377915.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 364485.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 13430.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 0.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 29751.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 3776.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | -4.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 12.6 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 68.3 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 15730.0 |
country_code |
Country code | string | SEL | 0% | 1 | JPN |
country_name |
Country name | string | SEL | 0% | 1 | Japan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (44)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Eastern Asia, island chain between the North Pacific... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 36 00 N, 138 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 36.0 |
map_references_text |
map_references_text | string | 0% | 1 | Asia |
area_total_text |
area_total_text | string | 0% | 1 | 377,915 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 364,485 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 13,430 sq km |
area_note |
area_note | string | 0% | 1 | note: includes Bonin Islands (Ogasawara-gunto),... |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than California |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 0 km |
coastline_text |
coastline_text | string | 0% | 1 | 29,751 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm; between 3 nm and 12 nm in the international... |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_contiguous_zone_text |
maritime_claims_contiguous_zone_text | string | 0% | 1 | 24 nm |
maritime_claims_contiguous_zone_numeric |
maritime_claims_contiguous_zone_numeric | float | 0% | 1 | 24.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | varies from tropical in south to cool temperate in north |
terrain_text |
terrain_text | string | 0% | 1 | mostly rugged and mountainous |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Mount Fuji 3,776 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Hachiro-gata -4 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 438 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 438.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | negligible mineral resources, fish |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 12.6% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 11.1% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 11.1 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.7% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.7 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 0.9% (2023 est.) |
| +14 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN OpenFactBook - Government
— 1 rows, 94 columns
Loading data…
Field details — 124 fields (type, nulls, unique, samples)
Standards-Aligned Fields (2)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | JPN |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (122)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 1 | none |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Japan |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Nihon-koku/Nippon-koku |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Nihon/Nippon |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the English word for Japan comes from the Chinese name... |
government_type_text |
government_type_text | string | 0% | 1 | parliamentary constitutional monarchy |
capital_name_text |
capital_name_text | string | 0% | 1 | Tokyo |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 35 41 N, 139 45 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 35.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+9 (14 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 9.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | originally known as Edo, meaning "estuary" because of... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 1868.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 47 prefectures; Aichi, Akita, Aomori, Chiba, Ehime,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 47.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system based on German model; also reflects... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1890; latest approved 6 October 1946, adopted 3... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1890.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the Diet; passage requires approval by at... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction with reservations;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent must be a citizen of Japan |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 5 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 5.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | Emperor NARUHITO (since 1 May 2019) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 1.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Prime Minister Sanae TAKAICHI (since 21 October 2025) |
| +92 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN OpenFactBook - Introduction
— 1 rows, 6 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | JPN |
country_name |
Country name | string | SEL | 0% | 1 | Japan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | In 1603, after decades of civil warfare, the Tokugawa... |
background_numeric |
background_numeric | float | 0% | 1 | 1603.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/ja.json |
JPN OpenFactBook - Languages
— 1 rows, 7 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | JPN |
country_name |
Country name | string | SEL | 0% | 1 | Japan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Japanese |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | 必要不可欠な基本情報の源、ワールド・ファクトブック(Japanese)The World Factbook,... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/ja.json |
JPN OpenFactBook - Migration
— 1 rows, 11 columns
Loading data…
Field details — 11 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | JPN |
country_name |
Country name | string | SEL | 0% | 1 | Japan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (8)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 60,361 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 60361.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 29,244 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 29244.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 505 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 505.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/ja.json |
JPN OpenFactBook - Military And Security
— 1 rows, 21 columns
Loading data…
Field details — 27 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | JPN |
country_name |
Country name | string | SEL | 0% | 1 | Japan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (24)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_and_security_forces_text |
military_and_security_forces_text | string | 0% | 1 | Japan Self-Defense Force (JSDF): Ground Self-Defense... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 1.4% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 1.4 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.2% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.2 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.1% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.1 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.0 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.0 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 230-240,000 active Self Defense Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 230.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the JSDF is equipped largely with domestically produced... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | 2025.0 |
military_service_age_and_obligation_text |
military_service_age_and_obligation_text | string | 0% | 1 | 18-32 years of age for voluntary military service for... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_deployments_text |
military_deployments_text | string | 0% | 1 | maintains a presence of about 400 military personnel at... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 400.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Japan Self-Defense Force (JSDF) has a range of... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 3.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/ja.json |
JPN OpenFactBook - People And Society
— 1 rows, 109 columns
Loading data…
Field details — 122 fields (type, nulls, unique, samples)
Standards-Aligned Fields (28)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 123201945.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 59875269.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 63326676.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 12.1 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 58.4 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 29.5 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 71.2 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 20.8 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 50.4 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 50.2 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | -0.45 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 6.84 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 12.04 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 0.73 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 92.0 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | -0.25 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.06 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.95 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 3.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 1.8 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 85.2 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.41 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.68 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 2.65 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 12.7 |
country_code |
Country code | string | SEL | 0% | 1 | JPN |
country_name |
Country name | string | SEL | 0% | 1 | Japan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (94)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_total_text |
population_total_text | string | 0% | 1 | 123,201,945 (2024 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 59,875,269 |
population_female_text |
population_female_text | string | 0% | 1 | 63,326,676 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 12.1% (male 7,701,196/female 7,239,389) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 58.4% (male 36,197,840/female 35,777,966) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 29.5% (2024 est.) (male 15,976,233/female 20,309,321) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 71.2 (2024 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 20.8 (2024 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 50.4 (2024 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 2 (2024 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 2.0 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 50.2 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 48.3 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 48.3 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 51.3 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 51.3 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | -0.45% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 6.84 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 12.04 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 0.73 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | all primary and secondary regions of high population... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 92% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | -0.25% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 37.194 million TOKYO (capital), 19.013 million Osaka,... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 37.194 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.06 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.06 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.06 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1.01 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.01 |
| +64 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN OpenFactBook - Religions
— 1 rows, 6 columns
Loading data…
Field details — 18 fields (type, nulls, unique, samples)
Standards-Aligned Fields (5)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | JPN |
country_name |
Country name | string | SEL | 0% | 1 | Japan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 4.0 |
composition_ethnicity_primary_label_synth |
Japanese | string | CCL | 0% | - | Japanese |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Shintoism 48.6%, Buddhism 46.4%, Christianity 1.1%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 48.6 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/ja.json |
Pending (9) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_shintoism_pct_synth |
Shintoism | numeric | 0% | - | 48.6 |
composition_religion_buddhism_pct_synth |
Buddhism | numeric | 0% | - | 46.4 |
composition_religion_christianity_pct_synth |
Christianity | numeric | 0% | - | 1.1 |
composition_ethnicity_japanese_pct_synth |
Japanese | numeric | 0% | - | 97.5 |
composition_ethnicity_chinese_pct_synth |
Chinese | numeric | 0% | - | 0.6 |
composition_ethnicity_vietnam_pct_synth |
Vietnam | numeric | 0% | - | 0.4 |
composition_ethnicity_south_korean_pct_synth |
South Korean | numeric | 0% | - | 0.3 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 1.2 |
composition_ethnicity_primary_share_pct_synth |
Japanese | numeric | 0% | - | 97.5 |
JPN OpenFactBook - Space
— 1 rows, 9 columns
Loading data…
Field details — 13 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | JPN |
country_name |
Country name | string | SEL | 0% | 1 | Japan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (10)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
space_agency_agencies_text |
space_agency_agencies_text | string | 0% | 1 | Japan Aerospace Exploration Agency (JAXA; established in... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 2003.0 |
space_launch_site_s_text |
space_launch_site_s_text | string | 0% | 1 | Tanegashima Space Center/Yoshinobu Launch Complex... |
space_launch_site_s_numeric |
space_launch_site_s_numeric | float | 0% | 1 | 2025.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | has one of the world’s largest and most advanced space... |
space_program_overview_numeric |
space_program_overview_numeric | float | 0% | 1 | 2025.0 |
key_space_program_milestones_text |
key_space_program_milestones_text | string | 0% | 1 | 1966-1970 - initiated satellite launch vehicle (SLV)... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 1966.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/ja.json |
JPN OpenFactBook - Terrorism
— 1 rows, 5 columns
Loading data…
Field details — 5 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | JPN |
country_name |
Country name | string | SEL | 0% | 1 | Japan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/ja.json |
JPN OpenFactBook - Transportation
— 1 rows, 34 columns
Loading data…
Field details — 38 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
airports_numeric |
Airports count | float | SEL | 0% | 1 | 280.0 |
country_code |
Country code | string | SEL | 0% | 1 | JPN |
country_name |
Country name | string | SEL | 0% | 1 | Japan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (34)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | 0% | 1 | JA |
airports_text |
airports_text | string | 0% | 1 | 280 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 3,036 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 3036.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 27,311 km (2015) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 27311.0 |
railways_standard_gauge_text |
railways_standard_gauge_text | string | 0% | 1 | 4,800 km (2015) 1.435-m gauge (4,800 km electrified) |
railways_standard_gauge_numeric |
railways_standard_gauge_numeric | float | 0% | 1 | 4800.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 124 km (2015) 1.372-m gauge (124 km electrified) |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 124.0 |
railways_dual_gauge_text |
railways_dual_gauge_text | string | 0% | 1 | 132 km (2015) 1.435-1.067-m gauge (132 km electrified) |
railways_dual_gauge_numeric |
railways_dual_gauge_numeric | float | 0% | 1 | 132.0 |
railways_note |
railways_note | string | 0% | 1 | 22,207 km 1.067-mm gauge (15,430 km electrified)48 km... |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 5,229 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 5229.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 166, container ship 49, general cargo... |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 166.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 163 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 163.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 11 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 11.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 26 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 26.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 54 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 54.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 71 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 71.0 |
ports_size_unknown_text |
ports_size_unknown_text | float | 0% | 1 | 1 |
ports_size_unknown_numeric |
ports_size_unknown_numeric | float | 0% | 1 | 1.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 99 |
| +4 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN D-PLACE
JPN-DPLACE
Ethnographic Societies
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 2 table(s)
JPN D-PLACE - Dplace Ea Societies
— 4 rows, 23 columns
Loading data…
Field details — 23 fields (type, nulls, unique, samples)
Standards-Aligned Fields (12)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN |
society_id |
Society id | string | CCL | 0% | 4 | Ec7, Ed15a, Ed5, Ed7 |
society_name |
Society name | string | CCL | 0% | 4 | Ainu, Miyakans, Japanese, Okinawans |
language_glottocode |
Language glottocode | string | CCL | 0% | 4 | ainu1240, miya1259, nucl1643, cent2126 |
language_name |
Language name | string | CCL | 0% | 1 | , , , |
kinship_system |
Kinship system | string | CCL | 0% | 3 | EA017:1; EA018:1; EA019:3; EA020:3; EA021:9; EA022:9;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 4 | EA006:6; EA007:8; EA008:2; EA009:2; EA023:13; EA025:15,... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 4 | EA001:2; EA002:3; EA003:4; EA004:0; EA005:1; EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 4 | EA032:3; EA033:2, EA032:NA; EA033:NA, EA032:2; EA033:5,... |
religion_importance |
Religion importance | string | CCL | 0% | 4 | EA034:1; EA112:6, EA034:NA; EA112:NA, EA034:2; EA112:6,... |
residence_pattern |
Residence pattern | string | CCL | 0% | 3 | EA010:12; EA011:2; EA012:12; EA013:3; EA014:9, EA010:8;... |
settlement_pattern |
settlement_pattern | string | CCL | 0% | 4 | EA030:3; EA031:1, EA030:NA; EA031:NA, EA030:8; EA031:8,... |
Extension Fields (11)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Japan, Japan, Japan, Japan |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , |
latitude |
latitude | float | 0% | 4 | 44.0, 24.79, 35.0, 26.16 |
longitude |
longitude | float | 0% | 4 | 144.0, 125.32, 136.0, 127.8 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon,... |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, approximate, approximate |
source |
source | string | 0% | 1 | D-PLACE: Database of Places, Language, Culture, and... |
source_url |
source_url | string | 0% | 1 | https://d-place.org, https://d-place.org,... |
license |
license | string | 0% | 1 | CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0 |
data_vintage |
data_vintage | integer | 0% | 1 | 2024, 2024, 2024, 2024 |
JPN D-PLACE - Dplace Ea Societies Decoded
— 4 rows, 49 columns
Loading data…
Field details — 49 fields (type, nulls, unique, samples)
Standards-Aligned Fields (5)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN |
society_id |
society_id | string | CCL | 0% | 4 | Ec7, Ed15a, Ed5, Ed7 |
society_name |
society_name | string | CCL | 0% | 4 | Ainu, Miyakans, Japanese, Okinawans |
language_glottocode |
language_glottocode | string | CCL | 0% | 4 | ainu1240, miya1259, nucl1643, cent2126 |
language_name |
language_name | string | CCL | 0% | 1 | , , , |
Extension Fields (44)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Japan, Japan, Japan, Japan |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , |
latitude |
latitude | float | 0% | 4 | 44.0, 24.79, 35.0, 26.16 |
longitude |
longitude | float | 0% | 4 | 144.0, 125.32, 136.0, 127.8 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon,... |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, approximate, approximate |
source |
source | string | 0% | 1 | D-PLACE: Database of Places, Language, Culture, and... |
source_url |
source_url | string | 0% | 1 | https://d-place.org, https://d-place.org,... |
license |
license | string | 0% | 1 | CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0 |
data_vintage |
data_vintage | integer | 0% | 1 | 2024, 2024, 2024, 2024 |
jurisdictional_hierarchy_of_local_community |
jurisdictional_hierarchy_of_local_community | integer | 25% | 2 | 3, 2, 3 |
jurisdictional_hierarchy_beyond_local_community |
jurisdictional_hierarchy_beyond_local_community | integer | 25% | 3 | 2, 5, 3 |
religion_high_gods |
religion_high_gods | integer | 25% | 2 | 1, 2, 1 |
trance_states |
trance_states | integer | 25% | 2 | 6, 6, 4 |
settlement_patterns |
settlement_patterns | integer | 25% | 3 | 3, 8, 7 |
mean_size_of_local_communities |
mean_size_of_local_communities | integer | 25% | 2 | 1, 8, 8 |
marital_residence_first_years |
marital_residence_first_years | integer | 0% | 3 | 12, 8, 10, 8 |
residence_transfer_prevailing_pattern |
residence_transfer_prevailing_pattern | integer | 0% | 2 | 2, 1, 1, 1 |
marital_residence_prevailing_pattern |
marital_residence_prevailing_pattern | integer | 0% | 3 | 12, 8, 10, 8 |
residence_transfer_alternate |
residence_transfer_alternate | integer | 0% | 2 | 3, 2, 2, 2 |
marital_residence_alternate |
marital_residence_alternate | integer | 0% | 2 | 9, 6, 6, 6 |
largest_patrilineal_kin_group |
largest_patrilineal_kin_group | integer | 0% | 2 | 1, 1, 1, 4 |
largest_patrilineal_exogamous_group |
largest_patrilineal_exogamous_group | integer | 0% | 1 | 1, 1, 1, 1 |
largest_matrilineal_kin_group |
largest_matrilineal_kin_group | integer | 0% | 2 | 3, 1, 1, 1 |
largest_matrilineal_exogamous_group |
largest_matrilineal_exogamous_group | integer | 0% | 2 | 3, 1, 1, 1 |
cognatic_kin_groups |
cognatic_kin_groups | integer | 0% | 3 | 9, 1, 1, 2 |
secondary_cognatic_kin_group |
secondary_cognatic_kin_group | integer | 0% | 1 | 9, 9, 9, 9 |
kin_terms_for_cousins |
kin_terms_for_cousins | integer | 0% | 2 | 2, 3, 3, 3 |
descent_major_type |
descent_major_type | integer | 0% | 3 | 3, 6, 6, 7 |
| +14 more extension fields — download the CSV/Parquet to see them all. | |||||
JPN NGA GEOnet Names Server (GNS)
JPN-NGA_GNS
Language
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 2 table(s)
JPN NGA GNS - Language
— 4 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (9)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | JPN, JPN, JPN, JPN |
gns_language_code |
gns_language_code | string | CCL | 0% | 4 | jpn, rus, eng, ace |
gns_language_name |
gns_language_name | string | CCL | 0% | 4 | Japanese, Russian, English, Achinese |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 4 | 290574, 1972, 626, 1 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 4 | 99.1135, 0.6726, 0.2135, 0.0003 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 3 | 166756, 863, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 4 | Hani, Cyrl, Latn, |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 4 | Han (Hanzi, Kanji, Hanja), Cyrillic, Latin, |
gns_script_count |
gns_script_count | integer | CCL | 0% | 3 | 8, 1, 1, 0 |
JPN NGA GNS - Summary
— 1 rows, 31 columns
Loading data…
Field details — 31 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | JPN |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Japan |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 4 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 9 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.994 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 167624 |
Extension Fields (24)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 301477 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 93713 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 301459 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 18 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 63316 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 19161 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 34660 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 9929 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 137448 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 45977 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 2805 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 1003 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 43166 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 12497 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 18470 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 4655 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 238 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 65 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 1366 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 422 |
gns_name_count_undersea |
gns_name_count_undersea | integer | 0% | 1 | 8 |
gns_feature_count_undersea |
gns_feature_count_undersea | integer | 0% | 1 | 4 |
JPN INFORM Risk Index (EC-JRC)
JPN-INFORM
Risk Index
1 rows × 252 columns ingested. Field-level inventory in progress —
contact us for the full export.
0
Admin 0
— 1 table(s)
JPN Inform - Risk Index
— 1 rows, 252 columns
Loading data…
Field details — 252 fields (type, nulls, unique, samples)
Pending (252) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | 0% | 1 | JPN |
inform_aff_dr |
People affected by drought (absolute) - raw | float | 0% | 1 | 0.0 |
inform_aff_dr_freq |
Frequency of Droughts events | float | 0% | 1 | 0.0 |
inform_aff_dr_rel |
People affected by droughts (relative) - raw | float | 0% | 1 | 0.0 |
inform_ag_lnd_totl_k2 |
Land area (sq. km) | float | 0% | 1 | 364500.0 |
inform_asi |
Agriculture Stress Index Probability | float | 0% | 1 | 0.025 |
inform_bx_trf_pwkr_dt_gd_zs_inst |
Remittences Instability | float | 0% | 1 | 0.00665820508833337 |
inform_bx_trf_pwkr_dt_gd_zs_inst_norm |
ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM] | float | 0% | 1 | 1.1 |
inform_bx_trf_pwkr |
Personal remittances, received (% of GDP) | float | 0% | 1 | 0.106576450169086 |
inform_lack_of_coping_capacity |
Lack of Coping Capacity Index | float | 0% | 1 | 0.9 |
inform_infrastructure_capacity |
Infrastructure | float | 0% | 1 | 0.6 |
inform_cc_inf_ahc |
Access to Health Care | float | 0% | 1 | 1.0 |
inform_cc_inf_ahc_health_exp |
Health expenditure per capita [CC.INF.AHC.HEALTH-EXP] | float | 0% | 1 | 0.0 |
inform_cc_inf_ahc_imm |
Immunization coverage | float | 0% | 1 | 0.6 |
inform_cc_inf_ahc_imm_dtp3 |
Diphtheria-Tetanus-Pertussis | float | 0% | 1 | 0.0 |
inform_cc_inf_ahc_imm_mcv2 |
Measles | float | 0% | 1 | 0.5 |
inform_cc_inf_ahc_imm_pcv3 |
Pneumococcal | float | 0% | 1 | 1.4 |
inform_cc_inf_ahc_mmr |
Maternal Mortality Ratio [CC.INF.AHC.MMR] | float | 0% | 1 | 0.0 |
inform_cc_inf_ahc_phys |
Physicians density [CC.INF.AHC.PHYS] | float | 0% | 1 | 3.4 |
inform_cc_inf_com |
Communication | float | 0% | 1 | 0.8 |
inform_cc_inf_com_cel |
Mobile cellular subscriptions [CC.INF.COM.CEL] | float | 0% | 1 | 1.1 |
inform_cc_inf_com_elaccs |
Access to electricity [CC.INF.COM.ELACCS] | float | 0% | 1 | 0.0 |
inform_cc_inf_com_netus |
Internet users [CC.INF.COM.NETUS] | float | 0% | 1 | 1.4 |
inform_cc_inf_phy |
Physical Infrastructure | float | 0% | 1 | 0.1 |
inform_cc_inf_phy_h2o |
Access to improved water source | float | 0% | 1 | 0.2 |
inform_cc_inf_phy_rod |
Road density [CC.INF.PHY.ROD] | float | 0% | 1 | 0.0 |
inform_cc_inf_phy_sta |
Access to improved sanitation facilities | float | 0% | 1 | 0.0 |
inform_institutional_capacity |
Institutional | float | 0% | 1 | 1.1 |
inform_cc_ins_drr |
Disaster Risk Reduction | float | 0% | 1 | 0.3 |
inform_cc_ins_drr_sg_dsr_lgrgsr |
Disaster Risk Reduction SG_DSR_LGRGSR [CC.INS.DRR.SG_DSR_LGRGSR] | float | 0% | 1 | 0.0 |
| +222 more pending fields — download the CSV/Parquet to see them all. | |||||