Brazil
BRA
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1,852,518
Records
14
Datasets
46
Tables
14
Sources
204
SEL Fields
104
CCL Fields
📋
Most recent national census: 2022.
Included in HERA.
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Datasets (14)
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
BRA IBGE SIDRA
BRA-IBGE
Census
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
1
Admin 1
— 5 table(s)
BRA IBGE - Census Demographics
— 27 rows, 6 columns
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Field details — 6 fields (type, nulls, unique, samples)
Standards-Aligned Fields (2)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | BRA, BRA, BRA, BRA, BRA |
population_count |
Population count | float | SEL | 0% | 27 | 1581196.0, 830018.0, 3941613.0, 636707.0, 8120131.0 |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_code |
Administrative code | float | 0% | 27 | 11, 12, 13, 14, 15 |
admin_name |
Geographic unit name | string | 0% | 27 | Rondônia, Acre, Amazonas, Roraima, Pará |
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
população_residente_-_percentual_do_tota |
Resident population - percentage of total | float | 0% | 1 | 100.0, 100.0, 100.0, 100.0, 100.0 |
BRA IBGE - Census Labor
— 27 rows, 6 columns
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Field details — 6 fields (type, nulls, unique, samples)
Standards-Aligned Fields (2)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | BRA, BRA, BRA, BRA, BRA |
population_15_64 |
Population aged 15 to 64 | float | SEL | 0% | 27 | 1256403.0, 624035.0, 2935887.0, 461473.0, 6269212.0 |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_code |
Administrative code | float | 0% | 27 | 11, 12, 13, 14, 15 |
admin_name |
Geographic unit name | string | 0% | 27 | Rondônia, Acre, Amazonas, Roraima, Pará |
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
pessoas_de_14_anos_ou_mais_de_idade_-_pe |
Persons aged 14 years or older - percentage of total | float | 0% | 1 | 100.0, 100.0, 100.0, 100.0, 100.0 |
BRA IBGE - Census Literacy
— 27 rows, 5 columns
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Field details — 5 fields (type, nulls, unique, samples)
Standards-Aligned Fields (2)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | BRA, BRA, BRA, BRA, BRA |
literacy_rate_pct |
Literacy rate (percent) | float | SEL | 0% | 26 | 93.55, 87.87, 93.06, 93.08, 91.24 |
Extension Fields (3)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_code |
Administrative code | float | 0% | 27 | 11, 12, 13, 14, 15 |
admin_name |
Geographic unit name | string | 0% | 27 | Rondônia, Acre, Amazonas, Roraima, Pará |
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
BRA IBGE - Census Population State
— 27 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 (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | BRA, BRA, BRA, BRA, BRA |
population_count |
Population count | float | SEL | 0% | 27 | 1581196.0, 830018.0, 3941613.0, 636707.0, 8120131.0 |
densidade_demográfica |
Population density | float | SEL | 0% | 27 | 6.65, 5.06, 2.53, 2.85, 6.52 |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_code |
Administrative code | float | 0% | 27 | 11, 12, 13, 14, 15 |
admin_name |
Geographic unit name | string | 0% | 27 | Rondônia, Acre, Amazonas, Roraima, Pará |
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
área_da_unidade_territorial |
Area of territorial unit | float | 0% | 27 | 237754.172, 164173.429, 1559255.881, 223644.53, 1245870.704 |
BRA IBGE - Census Race
— 27 rows, 6 columns
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Field details — 6 fields (type, nulls, unique, samples)
Standards-Aligned Fields (2)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | BRA, BRA, BRA, BRA, BRA |
population_count |
Population count | float | SEL | 0% | 27 | 1581196.0, 830018.0, 3941613.0, 636707.0, 8120131.0 |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_code |
Administrative code | float | 0% | 27 | 11, 12, 13, 14, 15 |
admin_name |
Geographic unit name | string | 0% | 27 | Rondônia, Acre, Amazonas, Roraima, Pará |
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
população_residente_-_percentual_do_tota |
Resident population - percentage of total | float | 0% | 1 | 100.0, 100.0, 100.0, 100.0, 100.0 |
2
Admin 2
— 1 table(s)
BRA IBGE - Census Population Municipality
— 5,570 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 (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | BRA, BRA, BRA, BRA, BRA |
population_count |
Population count | float | SEL | 0% | 100 | 21494.0, 96833.0, 5351.0, 86887.0, 15890.0 |
densidade_demográfica |
Population density | float | SEL | 0% | 91 | 3.04, 21.88, 4.07, 22.91, 5.71 |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_code |
Administrative code | float | 0% | 100 | 1100015, 1100023, 1100031, 1100049, 1100056 |
admin_name |
Geographic unit name | string | 0% | 100 | Alta Floresta D'Oeste - RO, Ariquemes - RO, Cabixi - RO,... |
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
área_da_unidade_territorial |
Area of territorial unit | float | 0% | 100 | 7067.127, 4426.571, 1314.352, 3793.0, 2783.3 |
3
Admin 3
— 4 table(s)
BRA IBGE - Setor Alfabetizacao
— 458,772 rows, 369 columns
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Field details — 369 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 | BRA, BRA, BRA, BRA, BRA |
admin_level |
Administrative level (admin_0..admin_3) | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_name |
Geographic unit name | string | SEL | 0% | 1 | , , , , |
setor_code |
Census-sector identifier (15-digit IBGE code) | float | SEL | 0% | 100 | 110001505000002, 110001505000003, 110001505000004,... |
Extension Fields (365)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
CD_setor |
Census-sector code (15-digit) | float | 0% | 100 | 110001505000002.0, 110001505000003.0, 110001505000004.0,... |
V00644 |
Aged 15-19 | float | 0% | 52 | 88.0, 38.0, 26.0, 75.0, 52.0 |
V00645 |
Aged 20-24 | float | 0% | 52 | 68.0, 47.0, 11.0, 71.0, 51.0 |
V00646 |
Aged 25-29 | float | 0% | 51 | 58.0, 44.0, 11.0, 53.0, 61.0 |
V00647 |
Aged 30-34 | float | 0% | 48 | 71.0, 44.0, 16.0, 64.0, 66.0 |
V00648 |
Aged 35-39 | float | 0% | 51 | 73.0, 39.0, 17.0, 60.0, 44.0 |
V00649 |
Aged 40-44 | float | 0% | 49 | 64.0, 47.0, 23.0, 51.0, 64.0 |
V00650 |
Aged 45-49 | float | 0% | 52 | 65.0, 48.0, 14.0, 41.0, 52.0 |
V00651 |
Aged 50-54 | float | 0% | 46 | 70.0, 31.0, 16.0, 41.0, 51.0 |
V00652 |
Aged 55-59 | float | 0% | 45 | 54.0, 17.0, 9.0, 47.0, 42.0 |
V00653 |
Aged 60-64 | float | 0% | 41 | 41.0, 26.0, 12.0, 38.0, 38.0 |
V00654 |
Aged 65-69 | float | 0% | 37 | 25.0, 21.0, 11.0, 19.0, 25.0 |
V00655 |
Aged 70-79 | float | 0% | 37 | 41.0, 23.0, 10.0, 24.0, 29.0 |
V00656 |
80 years and over | float | 0% | 23 | 12.0, 11.0, 7.0, 16.0, 17.0 |
V00657 |
Aged 15-19, color or race é white | float | 0% | 26 | 24.0, 11.0, 8.0, 25.0, 12.0 |
V00658 |
Aged 15-19, color or race é black | float | 0% | 10 | 5.0, 0.0, 0.0, 6.0, X |
V00659 |
Aged 15-19, color or race é yellow (Asian) | float | 0% | 2 | 0.0, 0.0, 0.0, 0.0, 0.0 |
V00660 |
Aged 15-19, color or race é brown (parda) | float | 0% | 41 | 58.0, 24.0, 18.0, 43.0, 38.0 |
V00661 |
Aged 15-19, color or race é indigenous | string | 0% | 8 | X, 3.0, 0.0, X, 0.0 |
V00662 |
Aged 20-24, color or race é white | float | 0% | 28 | 12.0, 15.0, X, 21.0, 13.0 |
V00663 |
Aged 20-24, color or race é black | float | 0% | 12 | 4.0, X, 0.0, 7.0, 5.0 |
V00664 |
Aged 20-24, color or race é yellow (Asian) | string | 0% | 2 | X, 0.0, 0.0, 0.0, 0.0 |
V00665 |
Aged 20-24, color or race é brown (parda) | float | 0% | 39 | 45.0, 30.0, 9.0, 41.0, 32.0 |
V00666 |
Aged 20-24, color or race é indigenous | float | 0% | 7 | 6.0, X, 0.0, X, X |
V00667 |
Aged 25-29, color or race é white | float | 0% | 28 | 27.0, 16.0, 4.0, 15.0, 19.0 |
V00668 |
Aged 25-29, color or race é black | float | 0% | 10 | 3.0, 3.0, X, 4.0, 5.0 |
V00669 |
Aged 25-29, color or race é yellow (Asian) | float | 0% | 2 | 0.0, 0.0, 0.0, 0.0, 0.0 |
V00670 |
Aged 25-29, color or race é brown (parda) | float | 0% | 40 | 28.0, 25.0, 5.0, 32.0, 35.0 |
V00671 |
Aged 25-29, color or race é indigenous | float | 0% | 8 | 0.0, 0.0, 0.0, X, X |
V00672 |
Aged 30-34, color or race é white | float | 0% | 30 | 19.0, 16.0, 5.0, 12.0, 17.0 |
| +335 more extension fields — download the CSV/Parquet to see them all. | |||||
BRA IBGE - Setor Basico
— 468,099 rows, 42 columns
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Field details — 42 fields (type, nulls, unique, samples)
Standards-Aligned Fields (8)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | BRA, BRA, BRA, BRA, BRA |
admin_level |
Administrative level (admin_0..admin_3) | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_name |
Geographic unit name | string | SEL | 0% | 7 | Alta Floresta D'Oeste, Alta Floresta D'Oeste, Alta... |
setor_code |
Census-sector identifier (15-digit IBGE code) | float | SEL | 0% | 100 | 110001505000002, 110001505000003, 110001505000004,... |
AREA_KM2 |
Sector area in square kilometres | float | SEL | 0% | 100 | 0.5393102, 0.2362175, 0.2118666, 0.5054477, 0.2990424 |
v0001 |
Total resident population | float | SEL | 0% | 85 | 928.0, 556.0, 222.0, 785.0, 748.0 |
v0002 |
Total private permanent households | float | SEL | 0% | 81 | 376.0, 243.0, 102.0, 318.0, 334.0 |
v0003 |
Total occupied private permanent households | float | SEL | 0% | 78 | 376.0, 243.0, 102.0, 318.0, 334.0 |
Extension Fields (34)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
CD_SETOR |
Census-sector code (15-digit) | float | 0% | 100 | 110001505000002.0, 110001505000003.0, 110001505000004.0,... |
SITUACAO |
Setting (urban or rural label) | string | 0% | 2 | Urbana, Urbana, Urbana, Urbana, Urbana |
CD_SIT |
Setting code (urban/rural numeric) | float | 0% | 5 | 1.0, 1.0, 1.0, 1.0, 1.0 |
CD_TIPO |
Sector-type code (regular, special, etc.) | float | 0% | 5 | 0.0, 0.0, 0.0, 0.0, 0.0 |
CD_REGIAO |
Macro-region code (1=North, 2=Northeast, 3=Southeast, 4=South, 5=Center-West) | float | 0% | 1 | 1.0, 1.0, 1.0, 1.0, 1.0 |
NM_REGIAO |
Macro-region name | string | 0% | 1 | Norte, Norte, Norte, Norte, Norte |
CD_UF |
State (UF) code | float | 0% | 1 | 11.0, 11.0, 11.0, 11.0, 11.0 |
NM_UF |
State name | string | 0% | 1 | Rondônia, Rondônia, Rondônia, Rondônia, Rondônia |
CD_MUN |
Municipality code (7-digit) | float | 0% | 2 | 1100015.0, 1100015.0, 1100015.0, 1100015.0, 1100015.0 |
NM_MUN |
Municipality name | string | 0% | 2 | Alta Floresta D'Oeste, Alta Floresta D'Oeste, Alta... |
CD_DIST |
District code | float | 0% | 7 | 110001505.0, 110001505.0, 110001505.0, 110001505.0, 110001505.0 |
NM_DIST |
District name | string | 0% | 7 | Alta Floresta D'Oeste, Alta Floresta D'Oeste, Alta... |
CD_SUBDIST |
Sub-district code | float | 0% | 7 | 11000150500.0, 11000150500.0, 11000150500.0,... |
NM_SUBDIST |
Sub-district name | string | 100% | - | - |
CD_BAIRRO |
Neighborhood code | float | 0% | 12 | 1100015006.0, 1100015006.0, 1100015005.0, 1100015005.0,... |
NM_BAIRRO |
Neighborhood name | string | 67% | 11 | Redondo, Redondo, Princesa Isabel, Princesa Isabel,... |
CD_NU |
Urban-nucleus code | string | 0% | 2 | ., ., ., ., . |
NM_NU |
Urban-nucleus name | string | 99% | 1 | Loteamento Canaã |
CD_FCU |
Concentrated-rural-fringe code | string | 0% | 1 | ., ., ., ., . |
NM_FCU |
Concentrated-rural-fringe name | string | 100% | - | - |
CD_AGLOM |
Population-agglomeration code | string | 0% | 20 | ., ., ., ., . |
NM_AGLOM |
Population-agglomeration name | string | 81% | 19 | Vila Marcão, Aldeia Indígena Aldeia Jatobá, Aldeia... |
CD_RGINT |
Intermediate Geographic Region code | float | 0% | 2 | 1102.0, 1102.0, 1102.0, 1102.0, 1102.0 |
NM_RGINT |
Intermediate Geographic Region name | string | 0% | 2 | Ji-Paraná, Ji-Paraná, Ji-Paraná, Ji-Paraná, Ji-Paraná |
CD_RGI |
Immediate Geographic Region code | float | 0% | 2 | 110005.0, 110005.0, 110005.0, 110005.0, 110005.0 |
NM_RGI |
Immediate Geographic Region name | string | 0% | 2 | Cacoal, Cacoal, Cacoal, Cacoal, Cacoal |
CD_CONCURB |
Urban concentration code | string | 0% | 1 | ., ., ., ., . |
NM_CONCURB |
Urban concentration name | string | 100% | - | - |
v0004 |
Average resident population per occupied private permanent household | float | 0% | 5 | 0.0, 0.0, 0.0, 0.0, 0.0 |
v0005 |
Average household nominal monthly income (BRL) | float | 0% | 23 | 2.8, 2.7, 2.6, 2.8, 2.6 |
| +4 more extension fields — download the CSV/Parquet to see them all. | |||||
BRA IBGE - Setor Cor Ou Raca
— 458,772 rows, 102 columns
Loading data…
Field details — 102 fields (type, nulls, unique, samples)
Standards-Aligned Fields (9)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | BRA, BRA, BRA, BRA, BRA |
admin_level |
Administrative level (admin_0..admin_3) | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_name |
Geographic unit name | string | SEL | 0% | 1 | , , , , |
setor_code |
Census-sector identifier (15-digit IBGE code) | float | SEL | 0% | 100 | 110001505000002, 110001505000003, 110001505000004,... |
V01317 |
Color or race é white | float | CCL | 0% | 73 | 312.0, 189.0, 71.0, 255.0, 229.0 |
V01318 |
Color or race é black | float | CCL | 0% | 51 | 87.0, 25.0, 14.0, 54.0, 49.0 |
V01319 |
Color or race é yellow (Asian) | string | CCL | 0% | 8 | X, 0.0, 0.0, X, X |
V01320 |
Color or race é brown (parda) | float | CCL | 0% | 76 | 514.0, 336.0, 135.0, 460.0, 459.0 |
V01321 |
Color or race é indigenous | float | CCL | 0% | 20 | 13.0, 6.0, X, 14.0, 10.0 |
Extension Fields (93)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
CD_SETOR |
Census-sector code (15-digit) | float | 0% | 100 | 110001505000002.0, 110001505000003.0, 110001505000004.0,... |
V01322 |
Male, color or race é white | float | 0% | 65 | 138.0, 80.0, 26.0, 136.0, 105.0 |
V01323 |
Male, color or race é black | float | 0% | 38 | 45.0, 13.0, 8.0, 35.0, 29.0 |
V01324 |
Male, color or race é yellow (Asian) | float | 0% | 6 | 0.0, 0.0, 0.0, X, X |
V01325 |
Male, color or race é brown (parda) | float | 0% | 66 | 238.0, 174.0, 74.0, 232.0, 233.0 |
V01326 |
Male, color or race é indigenous | float | 0% | 16 | 7.0, 3.0, 0.0, 4.0, 5.0 |
V01327 |
Female, color or race é white | float | 0% | 69 | 174.0, 109.0, 45.0, 119.0, 124.0 |
V01328 |
Female, color or race é black | float | 0% | 33 | 42.0, 12.0, 6.0, 19.0, 20.0 |
V01329 |
Female, color or race é yellow (Asian) | string | 0% | 5 | X, 0.0, 0.0, 0.0, 0.0 |
V01330 |
Female, color or race é brown (parda) | float | 0% | 70 | 276.0, 162.0, 61.0, 228.0, 226.0 |
V01331 |
Female, color or race é indigenous | float | 0% | 14 | 6.0, 3.0, X, 10.0, 5.0 |
V01332 |
Color or race of persons responsible for the household pelo households é white | float | 0% | 59 | 109.0, 60.0, 30.0, 85.0, 100.0 |
V01333 |
Color or race of persons responsible for the household pelo households é black | float | 0% | 34 | 44.0, 14.0, 10.0, 19.0, 21.0 |
V01334 |
Color or race of persons responsible for the household pelo households é yellow (Asian) | float | 0% | 5 | 0.0, 0.0, 0.0, X, X |
V01335 |
Color or race of persons responsible for the household pelo households é brown (parda) | float | 0% | 67 | 179.0, 132.0, 44.0, 175.0, 164.0 |
V01336 |
Color or race of persons responsible for the household pelo households é indigenous | float | 0% | 11 | 4.0, X, X, X, 5.0 |
V01337 |
Color or race of persons responsible for the household pelo households é white, sex of persons responsible for the household pelo households é male | float | 0% | 49 | 53.0, 25.0, 7.0, 29.0, 41.0 |
V01338 |
Color or race of persons responsible for the household pelo households é white, sex of persons responsible for the household pelo households é female | float | 0% | 48 | 56.0, 35.0, 23.0, 56.0, 59.0 |
V01339 |
Color or race of persons responsible for the household pelo households é black, sex of persons responsible for the household pelo households é male | float | 0% | 21 | 25.0, 3.0, 4.0, 11.0, 10.0 |
V01340 |
Color or race of persons responsible for the household pelo households é black, sex of persons responsible for the household pelo households é female | float | 0% | 20 | 19.0, 11.0, 6.0, 8.0, 11.0 |
V01341 |
Color or race of persons responsible for the household pelo households é yellow (Asian), sex of persons responsible for the household pelo households é male | float | 0% | 2 | 0.0, 0.0, 0.0, X, X |
V01342 |
Color or race of persons responsible for the household pelo households é yellow (Asian), sex of persons responsible for the household pelo households é female | float | 0% | 3 | 0.0, 0.0, 0.0, 0.0, 0.0 |
V01343 |
Color or race of persons responsible for the household pelo households é brown (parda), sex of persons responsible for the household pelo households é male | float | 0% | 52 | 80.0, 51.0, 15.0, 58.0, 97.0 |
V01344 |
Color or race of persons responsible for the household pelo households é brown (parda), sex of persons responsible for the household pelo households é female | float | 0% | 55 | 99.0, 81.0, 29.0, 117.0, 67.0 |
V01345 |
Color or race of persons responsible for the household pelo households é indigenous, sex of persons responsible for the household pelo households é male | string | 0% | 9 | X, X, 0.0, X, X |
V01346 |
Color or race of persons responsible for the household pelo households é indigenous, sex of persons responsible for the household pelo households é female | string | 0% | 7 | X, 0.0, X, X, 3.0 |
V01347 |
Color or race of persons responsible for the household pelo households é white, aged 12-17 | float | 0% | 5 | 0.0, X, 0.0, 3.0, 0.0 |
V01348 |
Color or race of persons responsible for the household pelo households é white, aged 18-24 | float | 0% | 11 | 4.0, 7.0, X, 11.0, 7.0 |
V01349 |
Color or race of persons responsible for the household pelo households é white, aged 25-39 | float | 0% | 33 | 23.0, 17.0, 5.0, 13.0, 27.0 |
V01350 |
Color or race of persons responsible for the household pelo households é white, aged 40-59 | float | 0% | 42 | 54.0, 21.0, 14.0, 29.0, 42.0 |
| +63 more extension fields — download the CSV/Parquet to see them all. | |||||
BRA IBGE - Setor Demografia
— 458,772 rows, 43 columns
Loading data…
Field details — 45 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 | BRA, BRA, BRA, BRA, BRA |
admin_level |
Administrative level (admin_0..admin_3) | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
admin_name |
Geographic unit name | string | SEL | 0% | 1 | , , , , |
setor_code |
Census-sector identifier (15-digit IBGE code) | float | SEL | 0% | 100 | 110001505000002, 110001505000003, 110001505000004,... |
population_0_14 |
Population aged 0-14 (both sexes, derived) | integer | SEL | 0% | - | - |
population_60_plus |
Population aged 60 and over (both sexes, derived) | integer | SEL | 0% | - | - |
Extension Fields (39)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
CD_setor |
Census-sector code (15-digit) | float | 0% | 100 | 110001505000002.0, 110001505000003.0, 110001505000004.0,... |
V01006 |
Quantidade of residents | float | 0% | 81 | 928.0, 556.0, 222.0, 785.0, 748.0 |
V01007 |
Male | float | 0% | 83 | 428.0, 270.0, 108.0, 408.0, 373.0 |
V01008 |
Female | float | 0% | 83 | 500.0, 286.0, 114.0, 377.0, 375.0 |
V01009 |
Male, aged 0-4 | float | 0% | 32 | 30.0, 15.0, 5.0, 36.0, 28.0 |
V01010 |
Male, aged 5-9 | float | 0% | 36 | 39.0, 20.0, 4.0, 33.0, 25.0 |
V01011 |
Male, aged 10-14 | float | 0% | 35 | 24.0, 20.0, 9.0, 34.0, 33.0 |
V01012 |
Male, aged 15-19 | float | 0% | 38 | 44.0, 19.0, 14.0, 41.0, 27.0 |
V01013 |
Male, aged 20-24 | float | 0% | 35 | 36.0, 30.0, 7.0, 42.0, 24.0 |
V01014 |
Male, aged 25-29 | float | 0% | 37 | 25.0, 20.0, 5.0, 27.0, 31.0 |
V01015 |
Male, aged 30-39 | float | 0% | 51 | 63.0, 46.0, 16.0, 65.0, 52.0 |
V01016 |
Male, aged 40-49 | float | 0% | 49 | 53.0, 45.0, 13.0, 42.0, 52.0 |
V01017 |
Male, aged 50-59 | float | 0% | 47 | 57.0, 21.0, 14.0, 38.0, 50.0 |
V01018 |
Male, aged 60-69 | float | 0% | 35 | 34.0, 20.0, 10.0, 32.0, 29.0 |
V01019 |
Male, 70 years and over | float | 0% | 28 | 23.0, 14.0, 11.0, 18.0, 22.0 |
V01020 |
Female, aged 0-4 | float | 0% | 30 | 38.0, 22.0, 8.0, 25.0, 22.0 |
V01021 |
Female, aged 5-9 | float | 0% | 31 | 29.0, 16.0, 7.0, 30.0, 27.0 |
V01022 |
Female, aged 10-14 | float | 0% | 31 | 38.0, 27.0, 6.0, 27.0, 21.0 |
V01023 |
Female, aged 15-19 | float | 0% | 36 | 44.0, 19.0, 12.0, 34.0, 25.0 |
V01024 |
Female, aged 20-24 | float | 0% | 34 | 32.0, 17.0, 4.0, 29.0, 27.0 |
V01025 |
Female, aged 25-29 | float | 0% | 41 | 33.0, 24.0, 6.0, 26.0, 30.0 |
V01026 |
Female, aged 30-39 | float | 0% | 50 | 81.0, 37.0, 17.0, 59.0, 58.0 |
V01027 |
Female, aged 40-49 | float | 0% | 49 | 76.0, 50.0, 24.0, 50.0, 64.0 |
V01028 |
Female, aged 50-59 | float | 0% | 44 | 67.0, 27.0, 11.0, 50.0, 43.0 |
V01029 |
Female, aged 60-69 | float | 0% | 39 | 32.0, 27.0, 13.0, 25.0, 34.0 |
V01030 |
Female, 70 years and over | float | 0% | 31 | 30.0, 20.0, 6.0, 22.0, 24.0 |
V01031 |
Aged 0-4 | float | 0% | 47 | 68.0, 37.0, 13.0, 61.0, 50.0 |
V01032 |
Aged 5-9 | float | 0% | 48 | 68.0, 36.0, 11.0, 63.0, 52.0 |
V01033 |
Aged 10-14 | float | 0% | 53 | 62.0, 47.0, 15.0, 61.0, 54.0 |
V01034 |
Aged 15-19 | float | 0% | 52 | 88.0, 38.0, 26.0, 75.0, 52.0 |
| +9 more extension fields — download the CSV/Parquet to see them all. | |||||
BRA Global Data Lab
BRA-GDL
Development Indices
ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
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)
BRA GDL - Subnational Indices
— 952 rows, 11 columns
Loading data…
Field details — 11 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 | BRA, BRA, BRA, BRA, BRA |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 28 | Total, Acre, Alagoas, Amapa, Amazonas |
human_development_index |
Human development index | float | SEL | 0% | 76 | 0.737, 0.657, 0.654, 0.734, 0.692 |
health_index |
Health index | float | SEL | 0% | 49 | 0.706, 0.692, 0.679, 0.707, 0.706 |
education_index |
Education index | float | SEL | 0% | 87 | 0.783, 0.664, 0.651, 0.815, 0.717 |
income_index |
Income index | float | SEL | 0% | 68 | 0.725, 0.618, 0.635, 0.687, 0.655 |
life_expectancy |
Life expectancy | float | SEL | 0% | 84 | 65.86, 64.95, 64.11, 65.99, 65.87 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 89 | 11.75, 9.23, 8.319, 12.0, 10.93 |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 4 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
BRA LandScan Global (ORNL)
BRA-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)
BRA 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 | BRA |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Brazil |
admin_code |
Admin code | string | SEL | 0% | 1 | 88855331B58508533874502 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 8510278.5336 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 219575585 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 25.8 |
1
Admin 1
— 1 table(s)
BRA LandScan - Population Admin1 (admin_1)
— 27 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 | BRA, BRA, BRA, BRA, BRA |
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% | 27 | Sao Paulo, Minas Gerais, Rio de Jeneiro, Bahia, Parana |
admin_code |
Admin code | string | SEL | 0% | 27 | 14911670B46470234103867, 14911670B44044837234259,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 27 | 249712.4481, 590464.5793, 45709.8674, 569146.6403, 198860.7151 |
pop_2024 |
Population count | integer | SEL | 0% | 27 | 48490484, 22168908, 17123520, 15397692, 12786651 |
pop_density_2024 |
Population density | float | SEL | 0% | 27 | 194.19, 37.54, 374.61, 27.05, 64.3 |
Locality
Locality
— 1 table(s)
BRA LandScan - Cities (locality)
— 366 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 | BRA, BRA, BRA, BRA, BRA |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 100 | São Paulo, Rio de Janeiro, Belo Horizonte, Recife, Fortaleza |
admin_code |
Admin code | integer | SEL | 0% | 100 | 7277, 7799, 7676, 8388, 8154 |
area_sqkm |
Area sqkm | float | SEL | 0% | 100 | 2101.367, 1278.9784, 605.8658, 487.831, 410.2606 |
pop_2024 |
Population count | integer | SEL | 0% | 100 | 21124070, 9220846, 4006447, 3327682, 3221684 |
pop_density_2024 |
Population density | float | SEL | 0% | 100 | 10052.54, 7209.54, 6612.76, 6821.38, 7852.77 |
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 | 19485158, 9853693, 4376747, 3847558, 3324149 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 93 | 1.084, 0.936, 0.915, 0.865, 0.969 |
BRA GHS Urban Centre Database (EU JRC)
BRA-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)
BRA GHS-UCDB - Cities (locality)
— 366 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 | São Paulo, Rio de Janeiro, Belo Horizonte, Recife, Fortaleza |
country_code |
Country code | string | SEL | 0% | 1 | BRA, BRA, BRA, BRA, BRA |
population |
Population count | integer | SEL | 0% | 100 | 19485158, 9853693, 4376747, 3847558, 3324149 |
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 | 7277, 7799, 7676, 8388, 8154 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Brazil, Brazil, Brazil, Brazil, Brazil |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
BRA Glottolog Language Catalog
BRA-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)
BRA Glottolog - Languages
— 337 rows, 16 columns
Loading data…
Field details — 21 fields (type, nulls, unique, samples)
Standards-Aligned Fields (14)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 100 | acro1239, agav1236, aika1237, akaw1239, akun1241 |
name |
Name | string | CCL | 0% | 100 | Acroá, Agavotaguerra, Aikanã, Akawaio-Ingariko, Akuntsu |
iso639_3 |
Iso639 3 | string | CCL | 28% | 72 | acs, avo, tba, ake, aqz |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 6% | 20 | nucl1710, unat1236, cari1283, tupi1275, unat1236 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 6% | 74 | jece1235, araw1288, kapo1251, akun1243, namb1301 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 15 | ['BR'], ['BR'], ['BR'], ['BR', 'GY', 'VE'], ['BR'] |
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% | 9 | 0, 0, 1, 2, 0 |
country_code |
Country code | string | SEL | 0% | 1 | BRA, BRA, BRA, BRA, BRA |
Extension Fields (7)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 7% | 93 | -12.20318, -13.29849, -12.6695, 6.16277, -12.8322 |
longitude |
longitude | float | 7% | 93 | -45.08975, -53.43936, -60.5353, -60.862, -60.9716 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
source |
source | string | 0% | 1 | Glottolog 5.0, Glottolog 5.0, Glottolog 5.0, Glottolog... |
source_url |
source_url | string | 0% | 1 | https://glottolog.org, https://glottolog.org,... |
license |
license | string | 0% | 1 | CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0 |
data_vintage |
data_vintage | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
BRA World Bank Open Data
BRA-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
— 2 table(s)
BRA 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 | BR, BR, BR, BR, BR |
population_count |
Population count | float | SEL | 2% | 65 | 72388126.0, 74605447.0, 76865323.0, 79164235.0, 81488595.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 53.162, 53.594, 54.017, 54.452, 54.848 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 235.266009502589, 231.564063269854, 250.200572910273,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 67% | 22 | 74.5899963378906, 86.370002746582, 88.620002746582,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 169.4, 164.7, 160.3, 156.1, 152.2 |
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 | Brazil, Brazil, Brazil, Brazil, Brazil |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
BRA 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 | BR, BR, BR, BR, BR |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 53.162, 53.594, 54.017, 54.452, 54.848 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 8% | 58 | 49.5, 49.2, 48.9, 48.7, 48.4 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 169.4, 164.7, 160.3, 156.1, 152.2 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 30 | 186.0, 176.0, 167.0, 161.0, 150.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 6.051, 6.022, 5.984, 5.93, 5.818 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 43.85, 43.292, 42.698, 42.014, 41.001 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 13.591, 13.265, 12.949, 12.627, 12.304 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 65% | 23 | 0.374, 0.4, 0.492, 0.624, 0.767 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 58% | 24 | 3.20179533958435, 3.69180011749268, 4.9951000213623,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 27 | 37.0, 47.0, 56.0, 60.0, 68.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 8.33457184, 8.54963303, 8.69686985, 8.18899441, 8.12491989 |
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 | Brazil, Brazil, Brazil, Brazil, Brazil |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
BRA UNHCR Refugee Data Finder
BRA-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)
BRA UNHCR - Hosted Populations
— 57 rows, 28 columns
Loading data…
Field details — 28 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 (22)
— 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% | - | - |
source |
source | string | 0% | 1 | UNHCR Refugee Data Finder, UNHCR Refugee Data Finder,... |
source_url |
source_url | string | 0% | 1 | https://www.unhcr.org/refugee-statistics/,... |
license |
license | string | 0% | 1 | Open access with attribution, Open access with... |
country_code |
country_code | string | 0% | 1 | BRA, BRA, BRA, BRA, BRA |
BRA UNHCR - Origin Populations
— 46 rows, 28 columns
Loading data…
Field details — 28 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 (22)
— 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% | - | - |
source |
source | string | 0% | 1 | UNHCR Refugee Data Finder, UNHCR Refugee Data Finder,... |
source_url |
source_url | string | 0% | 1 | https://www.unhcr.org/refugee-statistics/,... |
license |
license | string | 0% | 1 | Open access with attribution, Open access with... |
country_code |
country_code | string | 0% | 1 | BRA, BRA, BRA, BRA, BRA |
BRA D-PLACE
BRA-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)
BRA D-PLACE - Dplace Ea Societies
— 30 rows, 22 columns
Loading data…
Field details — 22 fields (type, nulls, unique, samples)
Standards-Aligned Fields (11)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BRA, BRA, BRA, BRA, BRA |
society_id |
Society id | string | CCL | 0% | 30 | Sc15, Sc5, Sd1, Sd2, Sd3 |
society_name |
Society name | string | CCL | 0% | 30 | Taulípang, Wapishana, Munduruku, Tapirapé, Palikur |
language_glottocode |
Language glottocode | string | CCL | 0% | 30 | taul1252, wapi1253, mund1330, tapi1254, pali1279 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 20 | EA001:1; EA002:2; EA003:3; EA004:0; EA005:4, EA001:2;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 25 | EA006:2; EA007:8; EA008:2; EA009:2; EA010:9, EA006:2;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 21 | EA028:3; EA029:5; EA030:7; EA031:NA; EA032:2, EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 11 | EA033:1; EA034:NA; EA035:NA, EA033:1; EA034:NA; EA035:2,... |
religion_importance |
Religion importance | string | CCL | 0% | 16 | EA034:NA; EA112:4, EA034:NA; EA112:2, EA034:1; EA112:1,... |
residence_pattern |
Residence pattern | string | CCL | 0% | 13 | EA011:3; EA012:9; EA013:9, EA011:1; EA012:10; EA013:9,... |
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 | Brazil, Brazil, Brazil, Brazil, Brazil |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 21 | 4.0, 3.0, -6.0, -11.0, 3.0 |
longitude |
longitude | float | 0% | 19 | -62.0, -60.0, -58.0, -52.0, -52.0 |
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, 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, CC BY 4.0 |
data_vintage |
data_vintage | float | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
BRA D-PLACE - Dplace Ea Societies Decoded
— 30 rows, 38 columns
Loading data…
Field details — 38 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 | BRA, BRA, BRA, BRA, BRA |
society_id |
Society id | string | CCL | 0% | 30 | Sc15, Sc5, Sd1, Sd2, Sd3 |
society_name |
Society name | string | CCL | 0% | 30 | Taulípang, Wapishana, Munduruku, Tapirapé, Palikur |
language_glottocode |
Language glottocode | string | CCL | 0% | 30 | taul1252, wapi1253, mund1330, tapi1254, pali1279 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
Extension Fields (33)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Brazil, Brazil, Brazil, Brazil, Brazil |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 21 | 4.0, 3.0, -6.0, -11.0, 3.0 |
longitude |
longitude | float | 0% | 19 | -62.0, -60.0, -58.0, -52.0, -52.0 |
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, approximate |
mode_of_marriage |
mode_of_marriage | integer | 0% | 5 | 1, 2, 1, 1, 0 |
family_organization |
family_organization | integer | 0% | 7 | 2, 2, 3, 1, 2 |
marital_composition |
marital_composition | integer | 0% | 5 | 3, 2, 2, 3, 3 |
community_marriage_org |
community_marriage_org | integer | 0% | 3 | 0, 0, 0, 0, 0 |
kin_group_structure |
kin_group_structure | integer | 0% | 6 | 4, 4, 4, 5, 5 |
mode_of_marriage_transaction |
mode_of_marriage_transaction | integer | 3% | 4 | 2, 2, 2, 6, 6 |
bride_price_type |
bride_price_type | integer | 3% | 2 | 8, 8, 8, 8, 8 |
ground_for_divorce |
ground_for_divorce | integer | 7% | 6 | 2, 4, 8, 8, 1 |
ease_of_divorce |
ease_of_divorce | integer | 7% | 5 | 2, 6, 2, 1, 1 |
marriage_arrangement |
marriage_arrangement | integer | 7% | 8 | 9, 9, 11, 9, 2 |
predominant_subsistence |
predominant_subsistence | integer | 7% | 3 | 3, 3, 3, 3, 3 |
gathering_dependence |
gathering_dependence | integer | 7% | 3 | 5, 5, 5, 5, 5 |
hunting_dependence |
hunting_dependence | integer | 7% | 6 | 7, 7, 7, 7, 7 |
fishing_dependence |
fishing_dependence | integer | 37% | 5 | 2, 3, 2, 1, 3 |
animal_husbandry_dependence |
animal_husbandry_dependence | integer | 7% | 3 | 2, 3, 3, 3, 2 |
jurisdictional_hierarchy |
jurisdictional_hierarchy | integer | 7% | 3 | 1, 1, 1, 1, 1 |
community_integration |
community_integration | integer | 30% | 3 | 1, 1, 1, 1, 1 |
settlement_pattern |
settlement_pattern | integer | 43% | 2 | 2, 2, 2, 2, 2 |
high_gods |
high_gods | integer | 17% | 7 | 4, 2, 1, 1, 7 |
residence_after_marriage |
residence_after_marriage | integer | 7% | 3 | 3, 1, 2, 3, 1 |
community_residence |
community_residence | integer | 7% | 8 | 9, 10, 11, 9, 8 |
norms_of_residence |
norms_of_residence | integer | 7% | 4 | 9, 9, 1, 9, 3 |
source |
source | string | 0% | 1 | D-PLACE: Database of Places, Language, Culture, and... |
| +3 more extension fields — download the CSV/Parquet to see them all. | |||||
BRA Google Community Mobility (2020-2022)
BRA-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)
BRA Mobility by Region
— 27 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 | BR, BR, BR, BR, BR |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | BRA, BRA, BRA, BRA, BRA |
Extension Fields (8)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 27 | -14.51, -1.22, -3.49, 8.56, 1.41 |
grocery |
grocery | float | 0% | 27 | 34.4, 12.26, 5.38, 34.28, 13.33 |
parks |
parks | float | 0% | 27 | -7.52, 0.64, -10.07, 4.32, -3.4 |
transit |
transit | float | 0% | 26 | 0.68, 26.59, 0.4, -0.95, 0.57 |
workplaces |
workplaces | float | 0% | 27 | -0.1, 14.27, 8.82, 20.24, 30.09 |
residential |
residential | float | 0% | 26 | 8.02, 3.27, 1.47, 4.13, 3.22 |
region |
region | string | 0% | 27 | Federal District, State of Acre, State of Alagoas, State... |
observation_count |
observation_count | integer | 0% | 27 | 974, 6356, 32005, 4500, 12879 |
BRA OpenFactBook
BRA-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
— 17 table(s)
BRA OpenFactBook - Communications
— 1 rows, 21 columns
Loading data…
Field details — 22 fields (type, nulls, unique, samples)
Standards-Aligned Fields (8)
| 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 | 11.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 102.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .br |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 84.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 23.0 |
country_code |
Country code | string | SEL | 0% | 1 | BRA |
country_name |
Country name | string | SEL | 0% | 1 | Brazil |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (14)
— 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 | 22.5 million (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 22.5 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 11 (2024 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 216 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 216.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 102 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | state-run Radiobras operates a radio and a TV network;... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 1000.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 84% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 48.4 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 48.4 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 23 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/br.json |
BRA OpenFactBook - Economy
— 1 rows, 153 columns
Loading data…
Field details — 159 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| 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 | 19600.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 2.179 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 4.2 |
country_code |
Country code | string | SEL | 0% | 1 | BRA |
country_name |
Country name | string | SEL | 0% | 1 | Brazil |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (153)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
economic_overview_text |
economic_overview_text | string | 0% | 1 | upper-middle-income, largest Latin American economy;... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | 20.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $4.165 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 | 4.165 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $4.029 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 | 4.029 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $3.902 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 | 3.902 |
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 | 3.4% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 3.4 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 3.2% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 3.2 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 3% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 3.0 |
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 | $19,600 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $19,100 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 19100.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $18,600 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 18600.0 |
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 | $2.179 trillion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 4.4% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 4.4 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 4.6% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 4.6 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 9.3% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 9.3 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +123 more extension fields — download the CSV/Parquet to see them all. | |||||
BRA OpenFactBook - Energy
— 1 rows, 69 columns
Loading data…
Field details — 69 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 | BRA |
country_name |
Country name | string | SEL | 0% | 1 | Brazil |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (65)
— 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_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 100% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 100.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 97.3% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 97.3 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 240.251 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 240.251 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 608.451 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 608.451 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 7.186 billion kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 7.186 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 22.294 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 22.294 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 106.916 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 106.916 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 8.9% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 8.9 |
electricity_generation_sources_nuclear_text |
electricity_generation_sources_nuclear_text | string | 0% | 1 | 2.1% of total installed capacity (2023 est.) |
electricity_generation_sources_nuclear_numeric |
electricity_generation_sources_nuclear_numeric | float | 0% | 1 | 2.1 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 6.9% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 6.9 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 13.5% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 13.5 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 60.2% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 60.2 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 8.3% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 8.3 |
nuclear_energy_number_of_operational_nuclear_reactors_text |
nuclear_energy_number_of_operational_nuclear_reactors_text | string | 0% | 1 | 2 (2025) |
nuclear_energy_number_of_operational_nuclear_reactors_numeric |
nuclear_energy_number_of_operational_nuclear_reactors_numeric | float | 0% | 1 | 2.0 |
nuclear_energy_number_of_nuclear_reactors_under_construction_text |
nuclear_energy_number_of_nuclear_reactors_under_construction_text | string | 0% | 1 | 1 (2025) |
| +35 more extension fields — download the CSV/Parquet to see them all. | |||||
BRA OpenFactBook - Environment
— 1 rows, 54 columns
Loading data…
Field details — 60 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 | 28.3 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 58.9 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 87.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.87 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 79.07 |
country_code |
Country code | string | SEL | 0% | 1 | BRA |
country_name |
Country name | string | SEL | 0% | 1 | Brazil |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (52)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | deforestation in Amazon Basin; illegal wildlife trade;... |
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 | Marine Dumping-London Protocol |
climate_text |
climate_text | string | 0% | 1 | mostly tropical, but temperate in south |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 28.3% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 6.7% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 6.7 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.9% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.9 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 20.7% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 20.7 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 58.9% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 12.7% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 12.7 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 87.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.87% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 437.769 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 437.769 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 53.664 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 | 53.664 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 331.079 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 | 331.079 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 53.026 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 | 53.026 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 10.9 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 10.9 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 1,759.1 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 1759.1 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 13,761.9 kt (2019-2021 est.) |
| +22 more extension fields — download the CSV/Parquet to see them all. | |||||
BRA 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 | BRA |
country_name |
Country name | string | SEL | 0% | 1 | Brazil |
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 | Brazilian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Brazilian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | mixed 45.3%, White 43.5%, Black 10.2%, Indigenous 0.6%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 45.3 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/br.json |
BRA OpenFactBook - Geography
— 1 rows, 62 columns
Loading data…
Field details — 67 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 | 8515770.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 8358140.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 157630.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 16145.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 7491.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2994.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 0.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 28.3 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 58.9 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 91833.0 |
country_code |
Country code | string | SEL | 0% | 1 | BRA |
country_name |
Country name | string | SEL | 0% | 1 | Brazil |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (54)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Eastern South America, bordering the Atlantic Ocean |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 10 00 S, 55 00 W |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 10.0 |
map_references_text |
map_references_text | string | 0% | 1 | South America |
area_total_text |
area_total_text | string | 0% | 1 | 8,515,770 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 8,358,140 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 157,630 sq km |
area_note |
area_note | string | 0% | 1 | note: includes Arquipelago de Fernando de Noronha, Atol... |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than the US |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 16,145 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Argentina 1,263 km; Bolivia 3,403 km; Colombia 1,790 km;... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 1263.0 |
coastline_text |
coastline_text | string | 0% | 1 | 7,491 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
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 |
maritime_claims_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | 200 nm or to edge of the continental margin |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | mostly tropical, but temperate in south |
terrain_text |
terrain_text | string | 0% | 1 | mostly flat to rolling lowlands in north; some plains,... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Pico da Neblina 2,994 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Atlantic Ocean 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 320 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 320.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | alumina, bauxite, beryllium, gold, iron ore, manganese,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 28.3% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 6.7% (2023 est.) |
| +24 more extension fields — download the CSV/Parquet to see them all. | |||||
BRA OpenFactBook - Government
— 1 rows, 92 columns
Loading data…
Field details — 126 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 | BRA |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (124)
— 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 | Federative Republic of Brazil |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Brazil |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | República Federativa do Brasil |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Brasil |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the country name derives from the brazil tree that used... |
government_type_text |
government_type_text | string | 0% | 1 | federal presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Brasília |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 15 47 S, 47 55 W |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 15.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC-3 (2 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | -3.0 |
capital_time_zone_note_text |
capital_time_zone_note_text | string | 0% | 1 | Brazil has four time zones, including one for the... |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name is the Latinized form of the country name,... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 1960.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 26 states (estados, singular - estado) and 1 federal... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 26.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest ratified 5 October 1988 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 5.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by at least one third of either house of the... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | has not submitted an ICJ jurisdiction declaration;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | yes |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | yes |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | yes |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 4 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 4.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | voluntary between 16 to 18 years of age, over 70, and if... |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 16.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President Luiz Inácio LULA da Silva (since 1 January 2023) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 1.0 |
| +94 more extension fields — download the CSV/Parquet to see them all. | |||||
BRA 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 | BRA |
country_name |
Country name | string | SEL | 0% | 1 | Brazil |
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 | After more than three centuries under Portuguese rule,... |
background_numeric |
background_numeric | float | 0% | 1 | 1822.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/br.json |
BRA 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 | BRA |
country_name |
Country name | string | SEL | 0% | 1 | Brazil |
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 | Portuguese (official and most widely spoken language);... |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | O Livro de Fatos Mundiais, a fonte indispensável para... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/br.json |
BRA OpenFactBook - Migration
— 1 rows, 12 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 | BRA |
country_name |
Country name | string | SEL | 0% | 1 | Brazil |
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 |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 331,097 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 331097.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 19,043 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 19043.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 27 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 27.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 2 Watch List — Brazil did not demonstrate overall... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 2.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/br.json |
BRA OpenFactBook - Military And Security
— 1 rows, 20 columns
Loading data…
Field details — 25 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 | BRA |
country_name |
Country name | string | SEL | 0% | 1 | Brazil |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (22)
— 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 | Brazilian Armed Forces (Forças Armadas Brasileiras):... |
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 | 1.1% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 1.1 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.1% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.1 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.2% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.2 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1.3% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.3 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1.4% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.4 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 360,000 active Armed Forces (220,000 Army;... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 360000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the Brazilian military's inventory consists of a mix of... |
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 | 18-45 years of age for compulsory military service for... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Brazilian Armed Forces (BAF) are the second largest... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1640.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/br.json |
BRA OpenFactBook - People And Society
— 1 rows, 131 columns
Loading data…
Field details — 144 fields (type, nulls, unique, samples)
Standards-Aligned Fields (29)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 221359387.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 108753532.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 112605855.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 19.6 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 69.5 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 10.9 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 44.3 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 28.1 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 16.2 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 35.4 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 0.58 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 13.04 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 7.07 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.19 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 87.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.87 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.05 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.97 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 67.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 12.7 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 76.3 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.73 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.84 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 2.36 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 2.5 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 94.8 |
country_code |
Country code | string | SEL | 0% | 1 | BRA |
country_name |
Country name | string | SEL | 0% | 1 | Brazil |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (115)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_total_text |
population_total_text | string | 0% | 1 | 221,359,387 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 108,753,532 |
population_female_text |
population_female_text | string | 0% | 1 | 112,605,855 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 19.6% (male 22,025,593/female 21,088,398) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 69.5% (male 75,889,089/female 77,118,722) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 10.9% (2024 est.) (male 10,251,809/female 13,677,901) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 44.3 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 28.1 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 16.2 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 6.2 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 6.2 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 35.4 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 34 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 34.0 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 36.1 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 36.1 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 0.58% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 13.04 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 7.07 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.19 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | the vast majority of people live along or near the... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 87.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.87% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 22.620 million São Paulo, 13.728 million Rio de Janeiro,... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 22.62 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.05 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.04 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.04 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.98 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.98 |
| +85 more extension fields — download the CSV/Parquet to see them all. | |||||
BRA OpenFactBook - Religions
— 1 rows, 6 columns
Loading data…
Field details — 23 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 | BRA |
country_name |
Country name | string | SEL | 0% | 1 | Brazil |
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 |
mixed | string | CCL | 0% | - | mixed |
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 | Roman Catholic 56.8%, Evangelical 26.9%, none 9.3%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 56.8 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/br.json |
Pending (14) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 56.8 |
composition_religion_evangelical_pct_synth |
Evangelical | numeric | 0% | - | 26.9 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 9.3 |
composition_religion_spirtism_esp_rita_pct_synth |
Spirtism (Espírita) | numeric | 0% | - | 1.8 |
composition_religion_unspecified_pct_synth |
unspecified | numeric | 0% | - | 1.4 |
composition_religion_umbanda_and_candombl_pct_synth |
Umbanda and Candomblé | numeric | 0% | - | 1.1 |
composition_religion_indigenous_religions_pct_synth |
Indigenous religions | numeric | 0% | - | 0.06 |
composition_religion_undeclared_pct_synth |
undeclared | numeric | 0% | - | 0.2 |
composition_ethnicity_mixed_pct_synth |
mixed | numeric | 0% | - | 45.3 |
composition_ethnicity_white_pct_synth |
White | numeric | 0% | - | 43.5 |
composition_ethnicity_black_pct_synth |
Black | numeric | 0% | - | 10.2 |
composition_ethnicity_indigenous_pct_synth |
Indigenous | numeric | 0% | - | 0.6 |
composition_ethnicity_asian_pct_synth |
Asian | numeric | 0% | - | 0.4 |
composition_ethnicity_primary_share_pct_synth |
mixed | numeric | 0% | - | 45.3 |
BRA 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 | BRA |
country_name |
Country name | string | SEL | 0% | 1 | Brazil |
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 | Brazilian Space Agency (Agência Espacial Brasileira,... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 1994.0 |
space_launch_site_s_text |
space_launch_site_s_text | string | 0% | 1 | Alcantara Launch Center (Maranhão state); Barreira do... |
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 | develops, builds, operates, and tracks satellites,... |
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 | 1960s - established a national space program under the... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 1960.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/br.json |
BRA OpenFactBook - Terrorism
— 1 rows, 6 columns
Loading data…
Field details — 6 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 | BRA |
country_name |
Country name | string | SEL | 0% | 1 | Brazil |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (3)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
terrorist_group_s_text |
terrorist_group_s_text | string | 0% | 1 | Hizballah; Tren de Aragua (TdA) |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/br.json |
BRA OpenFactBook - Transnational Issues
— 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 | BRA |
country_name |
Country name | string | SEL | 0% | 1 | Brazil |
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 |
|---|---|---|---|---|---|
illicit_drugs_usg_identification_text |
illicit_drugs_usg_identification_text | string | 0% | 1 | major precursor-chemical producer (2025) |
illicit_drugs_usg_identification_numeric |
illicit_drugs_usg_identification_numeric | float | 0% | 1 | 2025.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/br.json |
BRA OpenFactBook - Transportation
— 1 rows, 32 columns
Loading data…
Field details — 37 fields (type, nulls, unique, samples)
Standards-Aligned Fields (5)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 0% | 1 | PP |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 5297.0 |
country_code |
Country code | string | SEL | 0% | 1 | BRA |
country_name |
Country name | string | SEL | 0% | 1 | Brazil |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (32)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 5,297 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 1,871 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 1871.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 29,849.9 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 29849.9 |
railways_standard_gauge_text |
railways_standard_gauge_text | string | 0% | 1 | 194 km (2014) 1.435-m gauge |
railways_standard_gauge_numeric |
railways_standard_gauge_numeric | float | 0% | 1 | 194.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 23,341.6 km (2014) 1.000-m gauge (24 km electrified) |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 23341.6 |
railways_broad_gauge_text |
railways_broad_gauge_text | string | 0% | 1 | 5,822.3 km (2014) 1.600-m gauge (498.3 km electrified) |
railways_broad_gauge_numeric |
railways_broad_gauge_numeric | float | 0% | 1 | 5822.3 |
railways_dual_gauge_text |
railways_dual_gauge_text | string | 0% | 1 | 492 km (2014) 1.600-1.000-m gauge |
railways_dual_gauge_numeric |
railways_dual_gauge_numeric | float | 0% | 1 | 492.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 888 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 888.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 13, container ship 20, general cargo 38,... |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 13.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 45 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 45.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 4 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 4.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 7 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 7.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 19 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 19.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 15 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 15.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 31 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 31.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Belem, DTSE/Gegua Oil Terminal, Itajai, Port de... |
| +2 more extension fields — download the CSV/Parquet to see them all. | |||||
BRA NGA GEOnet Names Server (GNS)
BRA-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)
BRA 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 | BRA, BRA, BRA, BRA |
gns_language_code |
gns_language_code | string | CCL | 0% | 4 | por, spa, fra, eng |
gns_language_name |
gns_language_name | string | CCL | 0% | 4 | Portuguese, Spanish, French, English |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 4 | 211639, 203, 103, 43 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 4 | 99.8354, 0.0958, 0.0486, 0.0203 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 0, 0, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 1 | , , , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 1 | , , , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0, 0, 0, 0 |
BRA Nga Gns - Summary
— 1 rows, 29 columns
Loading data…
Field details — 29 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 | BRA |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Brazil |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 4 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.997 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 0 |
Extension Fields (22)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 266623 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 228920 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 266615 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 8 |
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_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 84257 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 71218 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 39132 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 37467 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 5192 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 4939 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 109945 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 95464 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 16712 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 14181 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 11330 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 5601 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 29 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 28 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 26 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 22 |
BRA Ethnic Power Relations Dataset
BRA-EPR
Political Ethnicity
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)
BRA EPR - Groups
— 3 rows, 8 columns
Loading data…
Field details — 8 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BRA, BRA, BRA |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 3 | Afrobrazilians, Whites, Indigenous peoples |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | POWERLESS, MONOPOLY, POWERLESS |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 3 | 0.507, 0.477, 0.004 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 3 | 14002000, 14001000, 14003000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | false, , false |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , |
BRA Global Organized Crime Index
BRA-OCINDEX
Crime Index
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)
BRA Organized Crime Scores 2025
— 1 rows, 35 columns
Loading data…
Field details — 139 fields (type, nulls, unique, samples)
Standards-Aligned Fields (13)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
Extension Fields (22)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
Pending (104) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | BRA |
source |
source | string | 0% | 1 | Global Organized Crime Index |
source_url |
source_url | string | 0% | 1 | https://ocindex.net/ |
year |
year | integer | 0% | 1 | 2025 |
license |
license | string | 0% | 1 | Creative Commons (GI-TOC / ENACT) |
oc_anti_money_laundering_rank |
oc_anti_money_laundering_rank | integer | 0% | 1 | 31 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 6 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 6 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 19 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | float | 0% | 1 | 8.5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 8 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 4 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 8.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 8 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 2 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | integer | 0% | 1 | 9 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | integer | 0% | 1 | 9 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 28 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 6.6 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 6.5 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 7 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 6.93 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 6.5 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 34 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | integer | 0% | 1 | 7 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | float | 0% | 1 | 6.5 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 14 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 6.77 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 6.5 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 7 |
| +74 more pending fields — download the CSV/Parquet to see them all. | |||||
BRA World Values Survey
BRA-WVS
Attitudes Values
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)
BRA WVS - Country Aggregates
— 1 rows, 26 columns
Loading data…
Field details — 26 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BRA |
Extension Fields (25)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
wave |
wave | integer | 0% | 1 | 7 |
wave_years |
wave_years | string | 0% | 1 | 2017-2022 |
source |
source | string | 0% | 1 | World Values Survey |
importance_religion |
importance_religion | integer | 0% | 1 | 1 |
importance_family |
importance_family | integer | 0% | 1 | 1 |
importance_friends |
importance_friends | integer | 0% | 1 | 1 |
trust_people |
trust_people | integer | 0% | 1 | 1 |
trust_family |
trust_family | integer | 0% | 1 | 1 |
life_satisfaction |
life_satisfaction | integer | 0% | 1 | 1 |
happiness |
happiness | integer | 0% | 1 | 1 |
freedom_choice |
freedom_choice | integer | 0% | 1 | 1 |
gender_jobs_scarce |
gender_jobs_scarce | integer | 0% | 1 | 1 |
gender_political_leaders |
gender_political_leaders | integer | 0% | 1 | 1 |
gender_university |
gender_university | integer | 0% | 1 | 1 |
justifiable_divorce |
justifiable_divorce | integer | 0% | 1 | 1 |
justifiable_homosexuality |
justifiable_homosexuality | integer | 0% | 1 | 1 |
immigration_policy |
immigration_policy | integer | 0% | 1 | 1 |
immigrants_jobs |
immigrants_jobs | integer | 0% | 1 | 1 |
immigrants_culture |
immigrants_culture | integer | 0% | 1 | 1 |
confidence_government |
confidence_government | integer | 0% | 1 | 1 |
confidence_parliament |
confidence_parliament | integer | 0% | 1 | 1 |
confidence_police |
confidence_police | integer | 0% | 1 | 1 |
confidence_courts |
confidence_courts | integer | 0% | 1 | 1 |
confidence_press |
confidence_press | integer | 0% | 1 | 1 |
democracy_importance |
democracy_importance | integer | 0% | 1 | 1 |
BRA WVS - Survey Aggregates
— 1 rows, 121 columns
Loading data…
Field details — 123 fields (type, nulls, unique, samples)
Standards-Aligned Fields (30)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BRA |
importance_family_mean |
Importance family mean | float | CCL | 0% | 1 | 1.17 |
importance_friends_mean |
Importance friends mean | float | CCL | 0% | 1 | 1.795 |
importance_leisure_mean |
Importance leisure mean | float | CCL | 0% | 1 | 2.694 |
importance_politics_mean |
Importance politics mean | float | CCL | 0% | 1 | 1.44 |
importance_religion_mean |
Importance religion mean | float | CCL | 0% | 1 | 1.736 |
happiness_mean |
Happiness mean | float | CCL | 0% | 1 | 1.829 |
freedom_of_choice_mean |
Freedom of choice mean | float | CCL | 0% | 1 | 7.556 |
life_satisfaction_mean |
Life satisfaction mean | float | CCL | 0% | 1 | 7.563 |
trust_most_people_mean |
Trust most people mean | float | CCL | 0% | 1 | 1.934 |
trust_family_mean |
Trust family mean | float | CCL | 0% | 1 | 1.545 |
trust_neighbors_mean |
Trust neighbors mean | float | CCL | 0% | 1 | 2.53 |
trust_people_know_personally_mean |
Trust people know personally mean | float | CCL | 0% | 1 | 2.381 |
trust_strangers_mean |
Trust strangers mean | float | CCL | 0% | 1 | 3.201 |
trust_other_religion_mean |
Trust other religion mean | float | CCL | 0% | 1 | 2.529 |
trust_other_nationality_mean |
Trust other nationality mean | float | CCL | 0% | 1 | 2.907 |
confidence_parliament_mean |
Confidence parliament mean | float | CCL | 0% | 1 | 2.244 |
confidence_government_mean |
Confidence government mean | float | CCL | 0% | 1 | 2.29 |
confidence_press_mean |
Confidence press mean | float | CCL | 0% | 1 | 2.951 |
confidence_police_mean |
Confidence police mean | float | CCL | 0% | 1 | 2.541 |
confidence_courts_mean |
Confidence courts mean | float | CCL | 0% | 1 | 2.59 |
gender_jobs_scarce_men_priority_mean |
Gender jobs scarce men priority mean | float | CCL | 0% | 1 | 2.991 |
gender_men_better_political_leaders_mean |
Gender men better political leaders mean | float | CCL | 0% | 1 | 3.169 |
gender_university_more_important_for_boys_mean |
Gender university more important for boys mean | float | CCL | 0% | 1 | 2.968 |
immigration_policy_mean |
Immigration policy mean | float | CCL | 0% | 1 | 3.05 |
immigrants_take_jobs_mean |
Immigrants take jobs mean | float | CCL | 0% | 1 | 1.047 |
immigrants_increase_crime_mean |
Immigrants increase crime mean | float | CCL | 0% | 1 | 1.359 |
justifiable_homosexuality_mean |
Justifiable homosexuality mean | float | CCL | 0% | 1 | 4.947 |
justifiable_divorce_mean |
Justifiable divorce mean | float | CCL | 0% | 1 | 2.506 |
importance_democracy_mean |
Importance democracy mean | float | CCL | 0% | 1 | 8.179 |
Extension Fields (93)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
wave |
wave | integer | 0% | 1 | 7 |
wave_years |
wave_years | string | 0% | 1 | 2017-2022 |
respondents |
respondents | integer | 0% | 1 | 1762 |
source |
source | string | 0% | 1 | World Values Survey Wave 7 |
importance_family_n |
importance_family_n | integer | 0% | 1 | 1762 |
importance_family_domain |
importance_family_domain | string | 0% | 1 | cultural_practice |
importance_friends_n |
importance_friends_n | integer | 0% | 1 | 1759 |
importance_friends_domain |
importance_friends_domain | string | 0% | 1 | cultural_practice |
importance_leisure_n |
importance_leisure_n | integer | 0% | 1 | 1730 |
importance_leisure_domain |
importance_leisure_domain | string | 0% | 1 | cultural_practice |
importance_politics_n |
importance_politics_n | integer | 0% | 1 | 1758 |
importance_politics_domain |
importance_politics_domain | string | 0% | 1 | cultural_practice |
importance_religion_n |
importance_religion_n | integer | 0% | 1 | 1755 |
importance_religion_domain |
importance_religion_domain | string | 0% | 1 | religion |
happiness_n |
happiness_n | integer | 0% | 1 | 1745 |
happiness_domain |
happiness_domain | string | 0% | 1 | cultural_practice |
freedom_of_choice_n |
freedom_of_choice_n | integer | 0% | 1 | 1718 |
freedom_of_choice_domain |
freedom_of_choice_domain | string | 0% | 1 | cultural_practice |
life_satisfaction_n |
life_satisfaction_n | integer | 0% | 1 | 1754 |
life_satisfaction_domain |
life_satisfaction_domain | string | 0% | 1 | cultural_practice |
trust_most_people_n |
trust_most_people_n | integer | 0% | 1 | 1730 |
trust_most_people_domain |
trust_most_people_domain | string | 0% | 1 | social_structure |
trust_family_n |
trust_family_n | integer | 0% | 1 | 1752 |
trust_family_domain |
trust_family_domain | string | 0% | 1 | social_structure |
trust_neighbors_n |
trust_neighbors_n | integer | 0% | 1 | 1723 |
trust_neighbors_domain |
trust_neighbors_domain | string | 0% | 1 | social_structure |
trust_people_know_personally_n |
trust_people_know_personally_n | integer | 0% | 1 | 1740 |
trust_people_know_personally_domain |
trust_people_know_personally_domain | string | 0% | 1 | social_structure |
trust_strangers_n |
trust_strangers_n | integer | 0% | 1 | 1729 |
trust_strangers_domain |
trust_strangers_domain | string | 0% | 1 | social_structure |
| +63 more extension fields — download the CSV/Parquet to see them all. | |||||