Angola
AGO
Rangel Skyline · Photo: Johnstanbul /
CC BY-SA 4.0
via Wikimedia Commons
1,660
Records
12
Datasets
38
Tables
12
Sources
180
SEL Fields
56
CCL Fields
📋
Most recent national census: 2024.
Included in HERA.
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Datasets (12)
SEL — DGIWG Statistical Extent Location
SEL+ — Platform extension (not in DGIWG core spec)
CCL — DGIWG Cultural Context Location
Extension — Preserved in extension tables (not in core SEL/CCL schema)
Pending — Awaiting mapping
4 further sources (Afrobarometer, Ethnic Power Relations Dataset, GI-TOC / ENACT, Global Data Lab) are held but not offered: their licences do not permit commercial redistribution. HERA cites their published findings with attribution and can supply the data to organisations holding their own licence — ask us.
AGO World Bank Open Data
AGO-WORLD_BANK
Development Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 3 table(s)
AGO World Bank - Development Indicators
— 66 rows, 9 columns
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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 | AO, AO, AO, AO, AO |
population_count |
Population count | float | SEL | 2% | 65 | 5231654.0, 5301583.0, 5354310.0, 5408320.0, 5464187.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 37.933, 36.902, 37.168, 37.419, 37.704 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 32% | 45 | 729.111965489822, 657.982648547398, 634.221467312782,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 96% | 3 | 67.4100036621094, 66.0299987792969, 66.2399978637695 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 33% | 44 | 238.1, 235.3, 232.9, 230.0, 228.0 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 99% | 1 | 32.3 |
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 | Angola, Angola, Angola, Angola, Angola |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
AGO 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 | AO, AO, AO, AO, AO |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 37.933, 36.902, 37.168, 37.419, 37.704 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 47% | 32 | 53.6, 53.4, 53.4, 53.4, 53.4 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 33% | 44 | 238.1, 235.3, 232.9, 230.0, 228.0 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 38 | 877.0, 864.0, 920.0, 895.0, 884.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 60 | 6.708, 6.79, 6.872, 6.954, 7.036 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 51.615, 52.046, 52.226, 52.347, 52.41 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 27.055, 28.075, 27.871, 27.648, 27.37 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 83% | 11 | 0.067, 0.076, 0.116, 0.059, 0.042 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 94% | 4 | 2.06146168708801, 2.72099995613098, 1.2913000584, 0.75 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 36% | 30 | 6.0, 8.0, 8.0, 10.0, 10.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 1.68525279, 3.95882654, 2.9398222, 3.10680342, 3.46084046 |
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 | Angola, Angola, Angola, Angola, Angola |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
AGO World Bank - Migration Indicators
— 66 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Pending (9) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | AGO, AGO, AGO, AGO, AGO |
country_name |
country_name | string | 0% | 1 | Angola, Angola, Angola, Angola, Angola |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
intl_migrant_stock |
intl_migrant_stock | float | 88% | 8 | 33517.0, 39813.0, 46108.0, 62331.0, 336367.0 |
intl_migrant_stock_pct |
intl_migrant_stock_pct | float | 88% | 5 | 0.3, 0.3, 0.3, 0.3, 1.4 |
net_migration |
net_migration | float | 0% | 65 | -40935.0, -74774.0, -77265.0, -78700.0, -79977.0 |
remittances_received_usd |
remittances_received_usd | float | 71% | 19 | 5142000.0, 82084000.0, 162358.5, 17972037.0, 204751.1 |
remittances_received_pct_gdp |
remittances_received_pct_gdp | float | 71% | 19 | 0.0683193199703648, 0.0830890173432929,... |
remittances_paid_usd |
remittances_paid_usd | float | 38% | 41 | 79000000.0, 89000000.0, 77000000.0, 71000000.0, 104000000.0 |
AGO NGA GEOnet Names Server (GNS)
AGO-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
— 3 table(s)
AGO NGA GNS - Language
— 2 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 | AGO, AGO |
gns_language_code |
gns_language_code | string | CCL | 0% | 2 | por, eng |
gns_language_name |
gns_language_name | string | CCL | 0% | 2 | Portuguese, English |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 2 | 228, 6 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 2 | 97.4359, 2.5641 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 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 |
AGO NGA GNS - Summary
— 1 rows, 27 columns
Loading data…
Field details — 27 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 | AGO |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Angola |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 2 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9932 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 0 |
Extension Fields (20)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 87713 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 74241 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 87707 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 6 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Thu, 24 Sep 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-09-24 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 26486 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 19815 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 38275 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 33743 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 6981 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 6047 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 10581 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 10254 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 3266 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 2856 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 1362 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 1342 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 762 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 184 |
AGO NGA GNS - Admin Crosswalk
— 182 rows, 12 columns
Loading data…
Field details — 12 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 | AGO, AGO, AGO, AGO, AGO |
Extension Fields (11)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_ufi |
gns_ufi | integer | 0% | 100 | -2858513, -2858523, -2858554, -2859052, 16330825 |
admin_designation |
admin_designation | string | 0% | 2 | ADM1, ADM1, ADM1, ADM1, ADM1 |
gns_bgn_name |
gns_bgn_name | string | 0% | 98 | Bengo, Benguela, Bié, Cabinda, Cuando |
gns_local_name |
gns_local_name | string | 100% | - | - |
iso_3166_2 |
iso_3166_2 | string | 0% | 21 | AO-BGO, AO-BGU, AO-BIE, AO-CAB, AO-CUD |
parent_code |
parent_code | string | 0% | 22 | AGO, AGO, AGO, AGO, AGO |
gns_prominence_band |
gns_prominence_band | integer | 0% | 4 | 9, 9, 9, 9, 5 |
latitude |
latitude | float | 0% | 98 | -8.25, -12.853995, -12.34989, -4.934231, -16.21666667 |
longitude |
longitude | float | 0% | 100 | 14.0, 13.928248, 17.303102, 12.405319, 20.25 |
gns_mgrs |
gns_mgrs | string | 0% | 100 | 33LUL8986487926, 33LUF8370478768, 33LYG5044733679,... |
name_variant_count |
name_variant_count | integer | 0% | 7 | 2, 4, 3, 4, 4 |
AGO HDX COD — Population Statistics (OCHA/UNFPA)
AGO-COD_PS
Census Derived 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)
AGO COD PS - AGO Codps (admin_0)
— 1 rows, 58 columns
Loading data…
Field details — 58 fields (type, nulls, unique, samples)
Standards-Aligned Fields (5)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | AO |
region_name |
Region name | string | SEL | 0% | 1 | Angola |
F_TL |
Female population | integer | SEL | 0% | 1 | 19007607 |
M_TL |
Male population | integer | SEL | 0% | 1 | 18197767 |
T_TL |
Total population | integer | SEL | 0% | 1 | 37205374 |
Pending (53) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 3315433 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 2872883 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 2515029 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 2080947 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 1633193 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 1317338 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 1130740 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 961449 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 794831 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 654162 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 517655 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 402422 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 302019 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 212170 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 138470 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 87288 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 71578 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 3373771 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 2897392 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 2483211 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 2010188 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 1557097 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 1221743 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 1015465 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 853423 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 712557 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 600903 |
M_50_54 |
Male population age 50-54 | integer | 0% | 1 | 469825 |
| +23 more pending fields — download the CSV/Parquet to see them all. | |||||
1
Admin 1
— 1 table(s)
AGO COD PS - AGO Codps (admin_1)
— 18 rows, 58 columns
Loading data…
Field details — 58 fields (type, nulls, unique, samples)
Standards-Aligned Fields (5)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 18 | AO01, AO02, AO03, AO04, AO05 |
region_name |
Region name | string | SEL | 0% | 18 | Bengo, Benguela, Bié, Cabinda, Cuando Cubango |
F_TL |
Female population | integer | SEL | 0% | 18 | 255477, 1681857, 1091349, 516106, 390778 |
M_TL |
Male population | integer | SEL | 0% | 18 | 259042, 1537324, 1008123, 516961, 379617 |
T_TL |
Total population | integer | SEL | 0% | 18 | 514519, 3219181, 2099472, 1033067, 770395 |
Pending (53) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 18 | 44897, 293616, 212935, 82804, 70109 |
F_05_09 |
Female population age 5-9 | integer | 0% | 18 | 37815, 252346, 178829, 72424, 57399 |
F_10_14 |
Female population age 10-14 | integer | 0% | 18 | 31046, 221142, 138048, 69147, 48902 |
F_15_19 |
Female population age 15-19 | integer | 0% | 18 | 24538, 183965, 119425, 59673, 44985 |
F_20_24 |
Female population age 20-24 | integer | 0% | 18 | 20242, 134211, 92425, 49606, 38265 |
F_25_29 |
Female population age 25-29 | integer | 0% | 18 | 17002, 106957, 71955, 42987, 28451 |
F_30_34 |
Female population age 30-34 | integer | 0% | 18 | 15151, 87037, 55926, 38550, 21379 |
F_35_39 |
Female population age 35-39 | integer | 0% | 18 | 12655, 85068, 48135, 26566, 17968 |
F_40_44 |
Female population age 40-44 | integer | 0% | 17 | 9769, 76134, 40212, 21622, 15065 |
F_45_49 |
Female population age 45-49 | integer | 0% | 18 | 8680, 67516, 40525, 15586, 12586 |
F_50_54 |
Female population age 50-54 | integer | 0% | 18 | 8399, 53436, 29419, 11543, 10670 |
F_55_59 |
Female population age 55-59 | integer | 0% | 18 | 8141, 40363, 22714, 9371, 7427 |
F_60_64 |
Female population age 60-64 | integer | 0% | 18 | 6146, 30410, 16605, 6207, 6415 |
F_65_69 |
Female population age 65-69 | integer | 0% | 18 | 4706, 22018, 10926, 4329, 4222 |
F_70_74 |
Female population age 70-74 | integer | 0% | 18 | 2928, 13474, 6491, 2475, 3499 |
F_75_79 |
Female population age 75-79 | integer | 0% | 18 | 1909, 8065, 4002, 1879, 1721 |
F_80Plus |
F_80Plus | integer | 0% | 18 | 1453, 6099, 2777, 1337, 1715 |
M_00_04 |
Male population age 0-4 | integer | 0% | 18 | 46911, 297674, 215114, 86160, 71012 |
M_05_09 |
Male population age 5-9 | integer | 0% | 18 | 39240, 252681, 179735, 71859, 57176 |
M_10_14 |
Male population age 10-14 | integer | 0% | 18 | 33221, 213964, 138422, 65785, 49563 |
M_15_19 |
Male population age 15-19 | integer | 0% | 18 | 26356, 174734, 111051, 54576, 43314 |
M_20_24 |
Male population age 20-24 | integer | 0% | 18 | 22804, 125513, 83450, 45020, 36741 |
M_25_29 |
Male population age 25-29 | integer | 0% | 18 | 17595, 94908, 62164, 42137, 26499 |
M_30_34 |
Male population age 30-34 | integer | 0% | 18 | 14862, 72937, 44674, 41718, 19845 |
M_35_39 |
Male population age 35-39 | integer | 0% | 18 | 12340, 64179, 34738, 31869, 16090 |
M_40_44 |
Male population age 40-44 | integer | 0% | 18 | 9620, 56793, 30456, 25331, 13564 |
M_45_49 |
Male population age 45-49 | integer | 0% | 18 | 8157, 50878, 31425, 18166, 11193 |
M_50_54 |
Male population age 50-54 | integer | 0% | 18 | 7444, 42241, 25731, 12135, 10324 |
| +23 more pending fields — download the CSV/Parquet to see them all. | |||||
2
Admin 2
— 1 table(s)
AGO COD PS - AGO Codps (admin_2)
— 161 rows, 58 columns
Loading data…
Field details — 58 fields (type, nulls, unique, samples)
Standards-Aligned Fields (5)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 100 | AO01001, AO01002, AO01005, AO01040, AO01043 |
region_name |
Region name | string | SEL | 0% | 100 | Ambriz, Dande, Nambuangongo, Bula-Atumba, Dembos-Quibaxe |
F_TL |
Female population | integer | SEL | 0% | 100 | 15102, 159226, 44345, 9734, 22194 |
M_TL |
Male population | integer | SEL | 0% | 100 | 17667, 161809, 43486, 9679, 21168 |
T_TL |
Total population | integer | SEL | 0% | 100 | 32769, 321035, 87831, 19413, 43362 |
Pending (53) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
year |
Reference year | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 100 | 2877, 26946, 8378, 1591, 4268 |
F_05_09 |
Female population age 5-9 | integer | 0% | 100 | 2337, 23422, 6596, 1362, 3298 |
F_10_14 |
Female population age 10-14 | integer | 0% | 99 | 1860, 20266, 5011, 1097, 2255 |
F_15_19 |
Female population age 15-19 | integer | 0% | 100 | 1419, 16502, 3509, 757, 1985 |
F_20_24 |
Female population age 20-24 | integer | 0% | 99 | 1202, 13538, 2721, 691, 1723 |
F_25_29 |
Female population age 25-29 | integer | 0% | 100 | 897, 11411, 2581, 547, 1285 |
F_30_34 |
Female population age 30-34 | integer | 0% | 99 | 828, 9993, 2676, 443, 1014 |
F_35_39 |
Female population age 35-39 | integer | 0% | 100 | 709, 8199, 2280, 397, 868 |
F_40_44 |
Female population age 40-44 | integer | 0% | 99 | 582, 6229, 1556, 466, 753 |
F_45_49 |
Female population age 45-49 | integer | 0% | 100 | 458, 5503, 1065, 474, 964 |
F_50_54 |
Female population age 50-54 | integer | 0% | 100 | 417, 4905, 1505, 475, 901 |
F_55_59 |
Female population age 55-59 | integer | 0% | 99 | 474, 4197, 1854, 439, 948 |
F_60_64 |
Female population age 60-64 | integer | 0% | 97 | 355, 2996, 1595, 328, 703 |
F_65_69 |
Female population age 65-69 | integer | 0% | 99 | 287, 2145, 1359, 256, 539 |
F_70_74 |
Female population age 70-74 | integer | 0% | 97 | 174, 1379, 718, 208, 370 |
F_75_79 |
Female population age 75-79 | integer | 0% | 98 | 126, 899, 490, 131, 214 |
F_80Plus |
F_80Plus | integer | 0% | 96 | 100, 696, 451, 72, 106 |
M_00_04 |
Male population age 0-4 | integer | 0% | 100 | 2887, 28249, 9162, 1766, 4021 |
M_05_09 |
Male population age 5-9 | integer | 0% | 100 | 2544, 23844, 7094, 1574, 3421 |
M_10_14 |
Male population age 10-14 | integer | 0% | 100 | 2072, 20355, 5984, 1264, 2863 |
M_15_19 |
Male population age 15-19 | integer | 0% | 100 | 1760, 16870, 3980, 955, 2232 |
M_20_24 |
Male population age 20-24 | integer | 0% | 100 | 2546, 14667, 2517, 772, 1849 |
M_25_29 |
Male population age 25-29 | integer | 0% | 100 | 1109, 11900, 2170, 612, 1456 |
M_30_34 |
Male population age 30-34 | integer | 0% | 100 | 1033, 10005, 2207, 403, 935 |
M_35_39 |
Male population age 35-39 | integer | 0% | 100 | 866, 8308, 1922, 315, 682 |
M_40_44 |
Male population age 40-44 | integer | 0% | 99 | 705, 6642, 1234, 318, 503 |
M_45_49 |
Male population age 45-49 | integer | 0% | 100 | 513, 5586, 994, 346, 543 |
M_50_54 |
Male population age 50-54 | integer | 0% | 99 | 415, 4671, 1280, 334, 592 |
| +23 more pending fields — download the CSV/Parquet to see them all. | |||||
AGO UNHCR Refugee Data Finder
AGO-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)
AGO UNHCR - Hosted Populations
— 50 rows, 24 columns
Loading data…
Field details — 24 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
Extension Fields (18)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
AGO UNHCR - Origin Populations
— 66 rows, 24 columns
Loading data…
Field details — 24 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
Extension Fields (18)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
AGO USAID DHS Program
AGO-DHS
Health Surveys
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
1
Admin 1
— 2 table(s)
AGO DHS - Ethnicity Indicators
— 44 rows, 8 columns
Loading data…
Field details — 8 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
women_who_are_literate |
Women who are literate | float | CCL | 0% | 41 | 55.5, 60.4, 50.3, 71.4, 25.3 |
men_who_are_literate |
Men who are literate | float | CCL | 18% | 36 | 88.2, 90.5, 80.5, 83.4, 72.5 |
Extension Fields (5)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Angola, Angola, Angola, Angola, Angola |
survey_year |
survey_year | integer | 0% | 4 | 2015, 2023, 2015, 2023, 2015 |
region |
region | string | 0% | 22 | Bengo , Bengo , Benguela ,... |
survey_id |
survey_id | string | 0% | 4 | AO2015DHS, AO2023DHS, AO2015DHS, AO2023DHS, AO2015DHS |
survey_type |
survey_type | string | 0% | 2 | DHS, DHS, DHS, DHS, DHS |
AGO DHS - Health Indicators
— 40 rows, 12 columns
Loading data…
Field details — 12 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
contraception_modern_pct |
Contraception modern percent | float | SEL | 10% | 35 | 4.4, 12.2, 12.9, 16.8, 2.2 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 29 | 23.0, 12.0, 88.0, 55.0, 52.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 35 | 34.0, 14.0, 136.0, 86.0, 80.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 10% | 33 | 23.6, 26.4, 26.3, 35.6, 10.4 |
children_underweight |
Children underweight | float | CCL | 10% | 36 | 17.2, 19.7, 15.7, 20.8, 21.7 |
hiv_prevalence_pct |
Hiv prevalence percent | float | SEL | 13% | 23 | 1.9, 1.1, 1.8, 1.6, 1.9 |
Extension Fields (5)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Angola, Angola, Angola, Angola, Angola |
survey_year |
survey_year | integer | 0% | 3 | 2015, 2023, 2015, 2023, 2015 |
region |
region | string | 0% | 22 | Bengo , Bengo , Benguela ,... |
survey_id |
survey_id | string | 0% | 3 | AO2015DHS, AO2023DHS, AO2015DHS, AO2023DHS, AO2015DHS |
survey_type |
survey_type | string | 0% | 2 | DHS, DHS, DHS, DHS, DHS |
AGO LandScan Global (ORNL)
AGO-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)
AGO 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 | AGO |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Angola |
admin_code |
Admin code | string | SEL | 0% | 1 | 71192764B59663718914717 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 1282716.0292 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 37194891 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 29.0 |
1
Admin 1
— 1 table(s)
AGO LandScan - Population Admin1 (admin_1)
— 18 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 | AGO, AGO, AGO, AGO, AGO |
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% | 18 | Luanda, Huíla, Benguela, Huambo, Cuanza Sul |
admin_code |
Admin code | string | SEL | 0% | 18 | 26408823B17220104796328, 26408823B98547910937265,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 18 | 19738.8695, 78685.0484, 39510.1118, 33133.4835, 55255.5772 |
pop_2024 |
Population count | integer | SEL | 0% | 18 | 10140179, 3589368, 3063146, 2981634, 2664984 |
pop_density_2024 |
Population density | float | SEL | 0% | 18 | 513.72, 45.62, 77.53, 89.99, 48.23 |
Locality
Locality
— 1 table(s)
AGO LandScan - Cities (locality)
— 56 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 | AGO, AGO, AGO, AGO, AGO |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 56 | Luanda, Lubango, Cabinda, Huambo, Benguela |
admin_code |
Admin code | integer | SEL | 0% | 56 | 1082, 1301, 564, 3350, 1195 |
area_sqkm |
Area sqkm | float | SEL | 0% | 56 | 930.033, 145.1516, 97.356, 93.4317, 80.5091 |
pop_2024 |
Population count | integer | SEL | 0% | 56 | 9542874, 931464, 760338, 694848, 611645 |
pop_density_2024 |
Population density | float | SEL | 0% | 56 | 10260.79, 6417.18, 7809.87, 7436.96, 7597.22 |
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% | 56 | 11672134, 1331213, 1220204, 582510, 510266 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 56 | 0.818, 0.7, 0.623, 1.193, 1.199 |
AGO GHS Urban Centre Database (EU JRC)
AGO-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)
AGO GHS-UCDB - Cities (locality)
— 56 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% | 56 | Luanda, Lubango, Cabinda, Malanje, Luena |
country_code |
Country code | string | SEL | 0% | 1 | AGO, AGO, AGO, AGO, AGO |
population |
Population count | integer | SEL | 0% | 56 | 11672134, 1331213, 1220204, 1052124, 892162 |
Extension Fields (7)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 56 | 1082, 1301, 564, 3509, 3806 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Angola, Angola, Angola, Angola, Angola |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
AGO Glottolog Language Catalog
AGO-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)
AGO Glottolog - Languages
— 54 rows, 16 columns
Loading data…
Field details — 16 fields (type, nulls, unique, samples)
Standards-Aligned Fields (12)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 54 | bolo1261, chok1245, diri1252, here1253, holu1245 |
name |
Name | string | CCL | 0% | 54 | Kibala, Chokwe, Diriku-Shambyu, Herero, Holu |
iso639_3 |
Iso639 3 | string | CCL | 2% | 53 | blv, cjk, diu, her, hol |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 5 | atla1278, atla1278, atla1278, atla1278, atla1278 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 35 | mbun1247, chok1247, kwan1288, here1252, holu1246 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 10 | 0, 2, 2, 1, 2 |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 2% | 53 | -10.3511, -9.66082, -18.1681, -21.0231, -8.14754 |
longitude |
longitude | float | 2% | 53 | 15.0867, 21.3992, 20.6678, 20.5655, 17.572 |
country_codes |
Country codes | string | 0% | 14 | ['AO'], ['AO', 'CD', 'NA', 'ZM'], ['AO', 'BW', 'NA'],... |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
AGO D-PLACE
AGO-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)
AGO D-PLACE - Dplace Ea Societies
— 10 rows, 23 columns
Loading data…
Field details — 23 fields (type, nulls, unique, samples)
Standards-Aligned Fields (12)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | AGO, AGO, AGO, AGO, AGO |
society_id |
Society id | string | CCL | 0% | 10 | Ab19, Ab20, Ab21a, Ab5, Ab7 |
society_name |
Society name | string | CCL | 0% | 10 | Ambo, Ngumbi, Kisama, Mbundu, Nyaneka |
language_glottocode |
Language glottocode | string | CCL | 0% | 10 | ndon1254, nkhu1238, sama1300, umbu1257, nyan1305 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 5 | EA017:1; EA018:1; EA019:4; EA020:4; EA021:9; EA022:9;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 10 | EA006:1; EA007:8; EA008:5; EA009:5; EA023:12; EA025:15,... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 10 | EA001:0; EA002:1; EA003:1; EA004:3; EA005:5; EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 4 | EA032:3; EA033:3, EA032:NA; EA033:NA, EA032:3; EA033:2,... |
religion_importance |
Religion importance | string | CCL | 0% | 5 | EA034:NA; EA112:6, EA034:NA; EA112:NA, EA034:NA;... |
residence_pattern |
Residence pattern | string | CCL | 0% | 8 | EA010:2; EA011:1; EA012:10; EA013:2; EA014:6, EA010:10;... |
settlement_pattern |
settlement_pattern | string | CCL | 0% | 6 | EA030:5; EA031:NA, EA030:NA; EA031:NA, EA030:5;... |
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 | Angola, Angola, Angola, Angola, Angola |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 6 | -17.0, -15.0, -10.0, -12.0, -15.0 |
longitude |
longitude | float | 0% | 7 | 16.0, 15.0, 14.0, 16.0, 14.0 |
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 | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
AGO D-PLACE - Dplace Ea Societies Decoded
— 10 rows, 49 columns
Loading data…
Field details — 49 fields (type, nulls, unique, samples)
Standards-Aligned Fields (5)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | AGO, AGO, AGO, AGO, AGO |
society_id |
society_id | string | CCL | 0% | 10 | Ab19, Ab20, Ab21a, Ab5, Ab7 |
society_name |
society_name | string | CCL | 0% | 10 | Ambo, Ngumbi, Kisama, Mbundu, Nyaneka |
language_glottocode |
language_glottocode | string | CCL | 0% | 10 | ndon1254, nkhu1238, sama1300, umbu1257, nyan1305 |
language_name |
language_name | string | CCL | 0% | 1 | , , , , |
Extension Fields (44)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Angola, Angola, Angola, Angola, Angola |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 6 | -17.0, -15.0, -10.0, -12.0, -15.0 |
longitude |
longitude | float | 0% | 7 | 16.0, 15.0, 14.0, 16.0, 14.0 |
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 | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
jurisdictional_hierarchy_of_local_community |
jurisdictional_hierarchy_of_local_community | integer | 10% | 2 | 3, 3, 3, 3, 3 |
jurisdictional_hierarchy_beyond_local_community |
jurisdictional_hierarchy_beyond_local_community | integer | 10% | 2 | 3, 2, 3, 3, 2 |
religion_high_gods |
religion_high_gods | integer | 70% | 1 | 2, 2, 2 |
trance_states |
trance_states | integer | 20% | 3 | 6, 6, 3, 6, 6 |
settlement_patterns |
settlement_patterns | integer | 10% | 4 | 5, 5, 7, 6, 7 |
mean_size_of_local_communities |
mean_size_of_local_communities | integer | 90% | 1 | 4 |
marital_residence_first_years |
marital_residence_first_years | integer | 0% | 5 | 2, 10, 8, 8, 10 |
residence_transfer_prevailing_pattern |
residence_transfer_prevailing_pattern | integer | 0% | 1 | 1, 1, 1, 1, 1 |
marital_residence_prevailing_pattern |
marital_residence_prevailing_pattern | integer | 0% | 4 | 10, 10, 8, 8, 1 |
residence_transfer_alternate |
residence_transfer_alternate | integer | 0% | 2 | 2, 9, 9, 9, 9 |
marital_residence_alternate |
marital_residence_alternate | integer | 0% | 4 | 6, 11, 11, 1, 11 |
largest_patrilineal_kin_group |
largest_patrilineal_kin_group | integer | 0% | 3 | 1, 1, 4, 3, 1 |
largest_patrilineal_exogamous_group |
largest_patrilineal_exogamous_group | integer | 0% | 2 | 1, 1, 4, 1, 1 |
largest_matrilineal_kin_group |
largest_matrilineal_kin_group | integer | 0% | 3 | 4, 4, 1, 3, 4 |
largest_matrilineal_exogamous_group |
largest_matrilineal_exogamous_group | integer | 0% | 2 | 4, 4, 1, 1, 4 |
cognatic_kin_groups |
cognatic_kin_groups | integer | 0% | 1 | 9, 9, 9, 9, 9 |
secondary_cognatic_kin_group |
secondary_cognatic_kin_group | integer | 0% | 1 | 9, 9, 9, 9, 9 |
kin_terms_for_cousins |
kin_terms_for_cousins | integer | 30% | 2 | 4, 5, 5, 5, 5 |
descent_major_type |
descent_major_type | integer | 0% | 3 | 3, 3, 1, 2, 3 |
| +14 more extension fields — download the CSV/Parquet to see them all. | |||||
AGO LandScan Mosaic (ORNL)
AGO-LANDSCAN_MOSAIC
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)
AGO Landscan Mosaic - Population Admin0 (admin_0)
— 1 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 | AGO |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Angola |
admin_code |
Admin code | string | SEL | 0% | 1 | 71192764B59663718914717 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 1282716.0292 |
population |
Population count | float | SEL | 0% | 1 | 37200849.9 |
pop_density |
Population density | float | SEL | 0% | 1 | 29.0 |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
confidence |
confidence | float | 0% | 1 | 0.529 |
confidence_pop_weighted |
confidence_pop_weighted | float | 0% | 1 | 0.529 |
1
Admin 1
— 1 table(s)
AGO Landscan Mosaic - Population Admin1 (admin_1)
— 18 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 | AGO, AGO, AGO, AGO, AGO |
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% | 18 | Luanda, Huíla, Benguela, Huambo, Cuanza Sul |
admin_code |
Admin code | string | SEL | 0% | 18 | 26408823B17220104796328, 26408823B98547910937265,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 18 | 19738.8695, 78685.0484, 39510.1118, 33133.4835, 55255.5772 |
population |
Population count | float | SEL | 0% | 18 | 9963922.18, 3592051.95, 3103236.16, 2893048.5, 2735261.64 |
pop_density |
Population density | float | SEL | 0% | 18 | 504.79, 45.65, 78.54, 87.31, 49.5 |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
confidence |
confidence | float | 0% | 18 | 0.516, 0.5086, 0.6051, 0.6217, 0.4718 |
confidence_pop_weighted |
confidence_pop_weighted | float | 0% | 18 | 0.516, 0.5086, 0.6051, 0.6217, 0.4718 |
AGO OpenFactBook
AGO-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
— 15 table(s)
AGO OpenFactBook - Communications
— 1 rows, 21 columns
Loading data…
Field details — 22 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 2024.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 70.0 |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 45.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2023.0 |
country_code |
Country code | string | SEL | 0% | 1 | AGO |
country_name |
Country name | string | SEL | 0% | 1 | Angola |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (15)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
telephones_fixed_lines_total_subscriptions_text |
telephones_fixed_lines_total_subscriptions_text | string | 0% | 1 | 80,300 (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 80300.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2024 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 26.4 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 26.4 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 70 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | state-owned media dominate; only four privately owned... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 2023.0 |
internet_country_code_text |
Internet country code text | string | 0% | 1 | .ao |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 45% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 137,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 137000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2023 est.) less than 1 |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ao.json |
AGO OpenFactBook - Economy
— 1 rows, 152 columns
Loading data…
Field details — 158 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 | 7300.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 80.397 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 32.3 |
country_code |
Country code | string | SEL | 0% | 1 | AGO |
country_name |
Country name | string | SEL | 0% | 1 | Angola |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (152)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
economic_overview_text |
economic_overview_text | string | 0% | 1 | middle-income, oil-dependent African economy; widespread... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | 2023.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $278.239 billion (2024 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric |
Real gdp purchasing power parity 2024 (numeric) | float | 0% | 1 | 278.239 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $266.452 billion (2023 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric |
Real gdp purchasing power parity 2023 (numeric) | float | 0% | 1 | 266.452 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $263.61 billion (2022 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric |
Real gdp purchasing power parity 2022 (numeric) | float | 0% | 1 | 263.61 |
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 | 4.4% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 4.4 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 1.1% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 1.1 |
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 | $7,300 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $7,300 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 7300.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $7,400 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 7400.0 |
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 | $80.397 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 28.2% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 28.2 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 13.6% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 13.6 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 21.4% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 21.4 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +122 more extension fields — download the CSV/Parquet to see them all. | |||||
AGO OpenFactBook - Energy
— 1 rows, 43 columns
Loading data…
Field details — 43 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 | 48.5 |
country_code |
Country code | string | SEL | 0% | 1 | AGO |
country_name |
Country name | string | SEL | 0% | 1 | Angola |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (39)
— 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 | 48.5% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 76.2% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 76.2 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 7.3% (2018 est.) |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 7.3 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 7.6 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 7.6 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 16.214 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 16.214 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 1.725 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 1.725 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 23.6% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 23.6 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 2.2% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 2.2 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 74% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 74.0 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.3% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.3 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 3,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 3000.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 1.175 million bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 1.175 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 121,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 121000.0 |
petroleum_crude_oil_estimated_reserves_text |
petroleum_crude_oil_estimated_reserves_text | string | 0% | 1 | 7.783 billion barrels (2021 est.) |
petroleum_crude_oil_estimated_reserves_numeric |
petroleum_crude_oil_estimated_reserves_numeric | float | 0% | 1 | 7.783 |
natural_gas_production_text |
natural_gas_production_text | string | 0% | 1 | 5.984 billion cubic meters (2023 est.) |
natural_gas_production_numeric |
natural_gas_production_numeric | float | 0% | 1 | 5.984 |
natural_gas_consumption_text |
natural_gas_consumption_text | string | 0% | 1 | 1.244 billion cubic meters (2023 est.) |
| +9 more extension fields — download the CSV/Parquet to see them all. | |||||
AGO OpenFactBook - Environment
— 1 rows, 51 columns
Loading data…
Field details — 55 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 | 36.9 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 51.6 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 68.7 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.04 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 4.214 |
country_code |
Country code | string | SEL | 0% | 1 | AGO |
country_name |
Country name | string | SEL | 0% | 1 | Angola |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (47)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | overuse of pastures and subsequent soil erosion;... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | none of the selected agreements |
climate_text |
climate_text | string | 0% | 1 | semiarid in south and along coast to Luanda; north has... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 36.9% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 4.3% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 4.3 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.3% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.3 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 32.4% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 32.4 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 51.6% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 11.5% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 11.5 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 68.7% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.04% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 19.66 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 19.66 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 9,000 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 | 9000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 17.21 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 | 17.21 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 2.441 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 | 2.441 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 27.2 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 27.2 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 1,009.1 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 1009.1 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 374.5 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 374.5 |
| +17 more extension fields — download the CSV/Parquet to see them all. | |||||
AGO 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 | AGO |
country_name |
Country name | string | SEL | 0% | 1 | Angola |
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 | Angolan(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Angolan |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Ovimbundu 37%, Kimbundu 25%, Bakongo 13%, Mestico (mixed... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 37.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ao.json |
AGO OpenFactBook - Geography
— 1 rows, 60 columns
Loading data…
Field details — 63 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 | 1246700.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 1246700.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 0.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 5369.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 1600.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2620.0 |
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 | 36.9 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 51.6 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 860.0 |
country_code |
Country code | string | SEL | 0% | 1 | AGO |
country_name |
Country name | string | SEL | 0% | 1 | Angola |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (50)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Southern Africa, bordering the South Atlantic Ocean,... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 12 30 S, 18 30 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 12.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 1,246,700 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 1,246,700 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 0 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | about eight times the size of Georgia; slightly less... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 5,369 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Democratic Republic of the Congo 2,646 km (of which 225... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 2646.0 |
coastline_text |
coastline_text | string | 0% | 1 | 1,600 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 |
climate_text |
climate_text | string | 0% | 1 | semiarid in south and along coast to Luanda; north has... |
terrain_text |
terrain_text | string | 0% | 1 | narrow coastal plain rises abruptly to vast interior plateau |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Moco 2,620 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 | 1,112 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 1112.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | petroleum, diamonds, iron ore, phosphates, copper,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 36.9% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 4.3% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 4.3 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.3% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.3 |
| +20 more extension fields — download the CSV/Parquet to see them all. | |||||
AGO OpenFactBook - Government
— 1 rows, 82 columns
Loading data…
Field details — 107 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 | AGO |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (105)
— 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 | Republic of Angola |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Angola |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Republica de Angola |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Angola |
country_name_former_text |
country_name_former_text | string | 0% | 1 | People's Republic of Angola |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | in the 15th century, Portuguese explorers derived the... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 0% | 1 | 15.0 |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Luanda |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 8 50 S, 13 13 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 8.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+1 (6 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 1.0 |
capital_daylight_saving_time_text |
capital_daylight_saving_time_text | string | 0% | 1 | does not observe daylight savings time |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the Portuguese named the city São Paulo da Assunção de... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 21 provinces (provincias, singular - provincia); Bengo,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 21.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil legal system based on Portuguese civil law; no... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1975, 1992; latest passed by National Assembly... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1975.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president of the republic or supported... |
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 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent must be a citizen of Angola |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 10 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 10.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President Joao Manuel Goncalves LOURENCO (since 26... |
| +75 more extension fields — download the CSV/Parquet to see them all. | |||||
AGO 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 | AGO |
country_name |
Country name | string | SEL | 0% | 1 | Angola |
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 | Bantu-speaking people settled in the area now called... |
background_numeric |
background_numeric | float | 0% | 1 | 6.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ao.json |
AGO OpenFactBook - Languages
— 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 | AGO |
country_name |
Country name | string | SEL | 0% | 1 | Angola |
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_text |
languages_text | string | 0% | 1 | Portuguese 71.2% (official), Umbundu 23%, Kikongo 8.2%,... |
languages_numeric |
languages_numeric | float | 0% | 1 | 71.2 |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ao.json |
AGO OpenFactBook - Migration
— 1 rows, 9 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 | AGO |
country_name |
Country name | string | SEL | 0% | 1 | Angola |
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 |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 55,542 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 55542.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 75,308 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 75308.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ao.json |
AGO OpenFactBook - Military And Security
— 1 rows, 21 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 | AGO |
country_name |
Country name | string | SEL | 0% | 1 | Angola |
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 | Angolan Armed Forces (Forcas Armadas Angolanas, FAA):... |
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% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 1.0 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.2% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.2 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.2% 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 | 1.4% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.4 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1.5% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.5 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 100,000 active duty Armed Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 100000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | most Angolan military weapons and equipment are 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 | 20-45 years of age for compulsory and 18-45 years for... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 20.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Angolan Armed Forces were created in 1991 under the... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1991.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ao.json |
AGO OpenFactBook - People And Society
— 1 rows, 125 columns
Loading data…
Field details — 138 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 | 38984796.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 19115781.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 19869015.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 46.9 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 50.7 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 2.4 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 95.1 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 90.0 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 5.1 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 16.6 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 3.32 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 39.75 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 6.73 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 0.14 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 68.7 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.04 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.03 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.96 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 183.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 46.1 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 62.9 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 5.45 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 2.68 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.24 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 0.8 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 66.2 |
country_code |
Country code | string | SEL | 0% | 1 | AGO |
country_name |
Country name | string | SEL | 0% | 1 | Angola |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (109)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_total_text |
population_total_text | string | 0% | 1 | 38,984,796 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 19,115,781 |
population_female_text |
population_female_text | string | 0% | 1 | 19,869,015 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 46.9% (male 8,752,419/female 8,701,422) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 50.7% (male 9,076,080/female 9,795,035) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 2.4% (2024 est.) (male 367,559/female 509,546) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 95.1 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 90 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 5.1 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 19.6 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 19.6 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 16.6 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 15.8 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 15.8 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 16.8 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 16.8 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 3.32% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 39.75 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 6.73 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 0.14 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | most people live in the western half of the country;... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 68.7% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.04% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 9.292 million LUANDA (capital), 959,000 Lubango, 905,000... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 9.292 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.03 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.01 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.01 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.93 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.93 |
| +79 more extension fields — download the CSV/Parquet to see them all. | |||||
AGO OpenFactBook - Religions
— 1 rows, 6 columns
Loading data…
Field details — 19 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 | AGO |
country_name |
Country name | string | SEL | 0% | 1 | Angola |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 8.6 |
composition_ethnicity_primary_label_synth |
Ovimbundu | string | CCL | 0% | - | Ovimbundu |
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 41.1%, Protestant 38.1%, other 8.6%, none... |
religions_numeric |
religions_numeric | float | 0% | 1 | 41.1 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ao.json |
Pending (10) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 41.1 |
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 38.1 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 12.3 |
composition_ethnicity_ovimbundu_pct_synth |
Ovimbundu | numeric | 0% | - | 37.0 |
composition_ethnicity_kimbundu_pct_synth |
Kimbundu | numeric | 0% | - | 25.0 |
composition_ethnicity_bakongo_pct_synth |
Bakongo | numeric | 0% | - | 13.0 |
composition_ethnicity_mestico_mixed_european_and_native_african_pct_synth |
Mestico (mixed European and native African) | numeric | 0% | - | 2.0 |
composition_ethnicity_european_pct_synth |
European | numeric | 0% | - | 1.0 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 22.0 |
composition_ethnicity_primary_share_pct_synth |
Ovimbundu | numeric | 0% | - | 37.0 |
AGO OpenFactBook - Space
— 1 rows, 8 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 | AGO |
country_name |
Country name | string | SEL | 0% | 1 | Angola |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (8)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
space_agency_agencies_text |
space_agency_agencies_text | string | 0% | 1 | National Space Program Office (Gabinete de Gestão do... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 2013.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | has a national space strategy with a focus on... |
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 | 2017 - first communications satellite (AngoSat-1) built,... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 2017.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ao.json |
AGO OpenFactBook - Transportation
— 1 rows, 31 columns
Loading data…
Field details — 33 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
airports_numeric |
Airports count | float | SEL | 0% | 1 | 107.0 |
country_code |
Country code | string | SEL | 0% | 1 | AGO |
country_name |
Country name | string | SEL | 0% | 1 | Angola |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (29)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | 0% | 1 | D2 |
civil_aircraft_registration_country_code_prefix_numeric |
civil_aircraft_registration_country_code_prefix_numeric | float | 0% | 1 | 2.0 |
airports_text |
airports_text | string | 0% | 1 | 107 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 2 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 2.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 2,761 km (2022) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 2761.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 2,638 km (2022) 1.067-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 2638.0 |
railways_note |
railways_note | string | 0% | 1 | 123 km 0.600-mm gauge |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 64 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 64.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 13, oil tanker 8, other 43 |
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 | 21 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 21.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 0 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 0.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 0 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 0.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 8 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 8.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 13 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 13.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 17 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 17.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Cabinda, Estrela Oil Field, Lobito, Luanda, Malongo Oil... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ao.json |
AGO INFORM Risk Index (EC-JRC)
AGO-INFORM
Risk Index
1 rows × 293 columns ingested. Field-level inventory in progress —
contact us for the full export.
0
Admin 0
— 1 table(s)
AGO Inform - Risk Index
— 1 rows, 293 columns
Loading data…
Field details — 293 fields (type, nulls, unique, samples)
Pending (293) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | 0% | 1 | AGO |
inform_aff_dr |
People affected by drought (absolute) - raw | float | 0% | 1 | 223634.742857143 |
inform_aff_dr_freq |
Frequency of Droughts events | float | 0% | 1 | 0.2 |
inform_aff_dr_rel |
People affected by droughts (relative) - raw | float | 0% | 1 | 0.574264790406253 |
inform_ag_lnd_totl_k2 |
Land area (sq. km) | float | 0% | 1 | 1246700.0 |
inform_asi |
Agriculture Stress Index Probability | float | 0% | 1 | 0.0 |
inform_bx_trf_pwkr_dt_gd_zs_inst |
Remittences Instability | float | 0% | 1 | 0.00852809819668467 |
inform_bx_trf_pwkr_dt_gd_zs_inst_norm |
ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM] | float | 0% | 1 | 1.4 |
inform_bx_trf_pwkr |
Personal remittances, received (% of GDP) | float | 0% | 1 | 0.0423340611159801 |
inform_lack_of_coping_capacity |
Lack of Coping Capacity Index | float | 0% | 1 | 6.9 |
inform_infrastructure_capacity |
Infrastructure | float | 0% | 1 | 6.7 |
inform_cc_inf_ahc |
Access to Health Care | float | 0% | 1 | 7.0 |
inform_cc_inf_ahc_health_exp |
Health expenditure per capita [CC.INF.AHC.HEALTH-EXP] | float | 0% | 1 | 9.3 |
inform_cc_inf_ahc_imm |
Immunization coverage | float | 0% | 1 | 7.4 |
inform_cc_inf_ahc_imm_dtp3 |
Diphtheria-Tetanus-Pertussis | float | 0% | 1 | 5.9 |
inform_cc_inf_ahc_imm_mcv2 |
Measles | float | 0% | 1 | 10.0 |
inform_cc_inf_ahc_imm_pcv3 |
Pneumococcal | float | 0% | 1 | 6.3 |
inform_cc_inf_ahc_mmr |
Maternal Mortality Ratio [CC.INF.AHC.MMR] | float | 0% | 1 | 2.0 |
inform_cc_inf_ahc_phys |
Physicians density [CC.INF.AHC.PHYS] | float | 0% | 1 | 9.4 |
inform_cc_inf_com |
Communication | float | 0% | 1 | 5.8 |
inform_cc_inf_com_cel |
Mobile cellular subscriptions [CC.INF.COM.CEL] | float | 0% | 1 | 6.7 |
inform_cc_inf_com_elaccs |
Access to electricity [CC.INF.COM.ELACCS] | float | 0% | 1 | 4.5 |
inform_cc_inf_com_litr |
Adult literacy rate | float | 0% | 1 | 5.9 |
inform_cc_inf_com_netus |
Internet users [CC.INF.COM.NETUS] | float | 0% | 1 | 5.9 |
inform_cc_inf_phy |
Physical Infrastructure | float | 0% | 1 | 7.2 |
inform_cc_inf_phy_h2o |
Access to improved water source | float | 0% | 1 | 6.4 |
inform_cc_inf_phy_rod |
Road density [CC.INF.PHY.ROD] | float | 0% | 1 | 9.7 |
inform_cc_inf_phy_sta |
Access to improved sanitation facilities | float | 0% | 1 | 5.5 |
inform_institutional_capacity |
Institutional | float | 0% | 1 | 7.1 |
inform_cc_ins_drr |
Disaster Risk Reduction | float | 0% | 1 | 7.5 |
| +263 more pending fields — download the CSV/Parquet to see them all. | |||||