ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DZA, DZA, DZA, DZA, DZA |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 8 | Total, Hauts Plateaux Centre (Djelfa, Laghouat, MSila),... |
human_development_index |
Human development index | float | SEL | 0% | 61 | 0.658, 0.62, 0.649, 0.634, 0.686 |
health_index |
Health index | float | SEL | 0% | 56 | 0.733, 0.708, 0.741, 0.727, 0.75 |
education_index |
Education index | float | SEL | 0% | 81 | 0.544, 0.48, 0.523, 0.503, 0.589 |
income_index |
Income index | float | SEL | 0% | 42 | 0.714, 0.703, 0.705, 0.699, 0.731 |
life_expectancy |
Life expectancy | float | SEL | 0% | 88 | 67.66, 66.0, 68.2, 67.23, 68.73 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 100 | 8.165, 6.498, 7.28, 7.076, 9.083 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 13 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DZA |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Algeria |
admin_code |
Admin code | string | SEL | 0% | 1 | 9297773B51415458366000 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 2310038.0798 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 46914009 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 20.31 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DZA, DZA, DZA, DZA, DZA |
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% | 48 | Algiers, Sétif, Oran, Djelfa, Batna |
admin_code |
Admin code | string | SEL | 0% | 48 | 43142294B57836115778835, 43142294B67344016857851,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 48 | 772.9622, 6664.0827, 2130.5671, 32358.4424, 12126.32 |
pop_2024 |
Population count | integer | SEL | 0% | 48 | 4079061, 2050688, 1956295, 1603321, 1549376 |
pop_density_2024 |
Population density | float | SEL | 0% | 48 | 5277.18, 307.72, 918.2, 49.55, 127.77 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DZA, DZA, DZA, DZA, DZA |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 100 | Algiers, Oran, Constantine, Blida, Annaba |
admin_code |
Admin code | integer | SEL | 0% | 100 | 3397, 945, 5303, 3288, 5648 |
area_sqkm |
Area sqkm | float | SEL | 0% | 95 | 467.1012, 177.6167, 92.8137, 94.8134, 79.8487 |
pop_2024 |
Population count | integer | SEL | 0% | 100 | 3583340, 1363018, 823704, 591569, 586013 |
pop_density_2024 |
Population density | float | SEL | 0% | 100 | 7671.44, 7673.93, 8874.81, 6239.3, 7339.04 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 100 | 3316232, 1261238, 507697, 703326, 471639 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 93 | 1.081, 1.081, 1.622, 0.841, 1.243 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DZ, DZ, DZ, DZ, DZ |
population_count |
Population count | float | SEL | 2% | 65 | 11424922.0, 11628883.0, 11800771.0, 11982118.0, 12179813.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 40.839, 40.792, 39.527, 43.143, 42.987 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 238.392476666447, 209.370672655334, 169.60286272133,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 94% | 4 | 49.6300010681152, 69.870002746582, 72.6500015258789,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 239.6, 239.9, 240.9, 242.0, 243.2 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 96% | 3 | 12.2, 22.6, 5.5 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Algeria, Algeria, Algeria, Algeria, Algeria |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DZ, DZ, DZ, DZ, DZ |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 40.839, 40.792, 39.527, 43.143, 42.987 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 17% | 51 | 72.2, 70.9, 69.0, 66.7, 64.4 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 239.6, 239.9, 240.9, 242.0, 243.2 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 33 | 292.0, 265.0, 243.0, 227.0, 215.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 61 | 7.503, 7.564, 7.607, 7.649, 7.672 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 49.01, 49.084, 48.938, 48.728, 48.285 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 63 | 23.576, 23.59, 24.88, 22.385, 22.609 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 74% | 17 | 0.173, 0.116, 0.123, 0.38, 0.427 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 64% | 20 | 3.18740749359131, 2.84249997138977, 2.48839998245239,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 39% | 16 | 69.0, 73.0, 79.0, 85.0, 87.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 3.21485448, 3.53628588, 3.44169641, 3.32569361, 3.29030514 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Algeria, Algeria, Algeria, Algeria, Algeria |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 100 | Algiers, Oran, Blida, Djelfa, Boumerdes |
country_code |
Country code | string | SEL | 0% | 1 | DZA, DZA, DZA, DZA, DZA |
population |
Population count | integer | SEL | 0% | 100 | 3316232, 1261238, 703326, 612877, 560227 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 100 | 3397, 945, 3288, 3890, 3845 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Algeria, Algeria, Algeria, Algeria, Algeria |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
| 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% | - | - |
| 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% | - | - |
| 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% | - | - |
| 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% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DZA |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Algeria |
admin_code |
Admin code | string | SEL | 0% | 1 | 9297773B51415458366000 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 2310038.0798 |
population |
Population count | float | SEL | 0% | 1 | 47011231.34 |
pop_density |
Population density | float | SEL | 0% | 1 | 20.35 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
confidence |
confidence | float | 0% | 1 | 0.5288 |
confidence_pop_weighted |
confidence_pop_weighted | float | 0% | 1 | 0.5288 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DZA, DZA, DZA, DZA, DZA |
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% | 48 | Algiers, Sétif, Oran, Djelfa, Batna |
admin_code |
Admin code | string | SEL | 0% | 48 | 43142294B57836115778835, 43142294B67344016857851,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 48 | 772.9622, 6664.0827, 2130.5671, 32358.4424, 12126.32 |
population |
Population count | float | SEL | 0% | 48 | 4071458.63, 2054030.27, 1979632.99, 1600094.58, 1544900.27 |
pop_density |
Population density | float | SEL | 0% | 48 | 5267.35, 308.22, 929.16, 49.45, 127.4 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
confidence |
confidence | float | 0% | 47 | 0.4766, 0.5447, 0.5234, 0.436, 0.4979 |
confidence_pop_weighted |
confidence_pop_weighted | float | 0% | 47 | 0.4766, 0.5447, 0.5234, 0.436, 0.4979 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 24 | alge1235, alge1239, alge1240, cent2194, chen1266 |
name |
Name | string | CCL | 0% | 24 | Algerian Sign Language, Algerian Arabic, Algerian... |
iso639_3 |
Iso639 3 | string | CCL | 0% | 24 | asp, arq, aao, tzm, cnu |
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% | 4 | sign1238, afro1255, afro1255, afro1255, afro1255 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 15 | lsfi1234, magh1239, magh1239, atla1275, zena1250 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 13 | ['DZ'], ['DZ', 'MA', 'TN'], ['DZ', 'EH', 'LY', 'MA',... |
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% | 7 | 0, 3, 0, 2, 4 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 24 | 36.4762, 35.4208, 20.8884, 32.7415, 36.5917 |
longitude |
longitude | float | 0% | 24 | 3.5462, 3.23033, 4.80626, -2.40872, 2.19899 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| 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 | 15.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 115.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .dz |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 77.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 12.0 |
country_code |
Country code | string | SEL | 0% | 1 | DZA |
country_name |
Country name | string | SEL | 0% | 1 | Algeria |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
telephones_fixed_lines_total_subscriptions_text |
telephones_fixed_lines_total_subscriptions_text | string | 0% | 1 | 6.93 million (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 6.93 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 15 (2024 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 54.1 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 54.1 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 115 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | Radio Algérienne is the state-run radio broadcast; the... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 2024.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 77% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 5.54 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 5.54 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 12 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ag.json |
| 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 | 15400.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 263.62 |
country_code |
Country code | string | SEL | 0% | 1 | DZA |
country_name |
Country name | string | SEL | 0% | 1 | Algeria |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
economic_overview_text |
economic_overview_text | string | 0% | 1 | suffering oil and gas economy; lack of sector and market... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | -19.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $722.912 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 | 722.912 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $699.818 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 | 699.818 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $672.256 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 | 672.256 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2021 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2024_text |
Real gdp growth rate 2024 (text) | string | 0% | 1 | 3.3% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 3.3 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 4.1% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 4.1 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 3.6% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 3.6 |
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 | $15,400 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $15,200 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 15200.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $14,800 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 14800.0 |
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 | $263.62 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 4% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 4.0 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 9.3% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 9.3 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 9.3% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 9.3 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +111 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
electricity_access_electrification_total_population_numeric |
Electricity access percent | float | SEL | 0% | 1 | 100.0 |
country_code |
Country code | string | SEL | 0% | 1 | DZA |
country_name |
Country name | string | SEL | 0% | 1 | Algeria |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
electricity_access_electrification_total_population_text |
electricity_access_electrification_total_population_text | string | 0% | 1 | 100% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 100% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 100.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 99.3% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 99.3 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 22.591 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 22.591 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 85.687 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 85.687 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 2.753 billion kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 2.753 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 475.8 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 475.8 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 9.237 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 9.237 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 98.1% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 98.1 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.9% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.9 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 0.9% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 0.9 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 3,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 3000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 241,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 241000.0 |
coal_proven_reserves_text |
coal_proven_reserves_text | string | 0% | 1 | 223 million metric tons (2023 est.) |
coal_proven_reserves_numeric |
coal_proven_reserves_numeric | float | 0% | 1 | 223.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 1.443 million bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 1.443 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 446,000 bbl/day (2023 est.) |
| +15 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 17.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 0.7 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 75.3 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.99 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 12.379 |
country_code |
Country code | string | SEL | 0% | 1 | DZA |
country_name |
Country name | string | SEL | 0% | 1 | Algeria |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | air pollution in major cities; soil erosion from... |
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 | Nuclear Test Ban |
climate_text |
climate_text | string | 0% | 1 | arid to semiarid; mild, wet winters with hot, dry... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 17.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 3.2% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 3.2 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.4% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.4 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 13.8% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 13.8 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 0.7% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 81.9% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 81.9 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 75.3% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.99% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 163.661 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 163.661 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 741,000 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 | 741000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 57.795 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 | 57.795 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 105.125 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 | 105.125 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 22.4 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 22.4 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 2,561.1 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 2561.1 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 256 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 256.0 |
| +17 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DZA |
country_name |
Country name | string | SEL | 0% | 1 | Algeria |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
nationality_noun_text |
nationality_noun_text | string | 0% | 1 | Algerian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Algerian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Arab-Amazigh 99%, European less than 1% |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 99.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ag.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 2381740.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 2381740.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 0.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 6734.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 998.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2908.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | -40.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 17.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 0.7 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 13819.0 |
country_code |
Country code | string | SEL | 0% | 1 | DZA |
country_name |
Country name | string | SEL | 0% | 1 | Algeria |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Northern Africa, bordering the Mediterranean Sea,... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 28 00 N, 3 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 28.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 2,381,740 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 2,381,740 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 0 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly less than 3.5 times the size of Texas |
area_comparative_numeric |
area_comparative_numeric | float | 0% | 1 | 3.5 |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 6,734 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Libya 989 km; Mali 1,359 km; Mauritania 460 km; Morocco... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 989.0 |
coastline_text |
coastline_text | string | 0% | 1 | 998 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_fishing_zone_text |
maritime_claims_exclusive_fishing_zone_text | string | 0% | 1 | 32-52 nm |
maritime_claims_exclusive_fishing_zone_numeric |
maritime_claims_exclusive_fishing_zone_numeric | float | 0% | 1 | 32.0 |
climate_text |
climate_text | string | 0% | 1 | arid to semiarid; mild, wet winters with hot, dry... |
terrain_text |
terrain_text | string | 0% | 1 | mostly high plateau and desert; Atlas Mountains in the... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Tahat 2,908 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Chott Melrhir -40 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 800 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 800.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | petroleum, natural gas, iron ore, phosphates, uranium, lead, zinc |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 17.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 3.2% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 3.2 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.4% (2023 est.) |
| +18 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DZA |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 1 | People's Democratic Republic of Algeria |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Algeria |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Al Jumhuriyah al Jaza'iriyah ad Dimuqratiyah ash Sha'biyah |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Al Jaza'ir |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the country name derives from the capital city of Algiers |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Algiers |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 36 45 N, 3 03 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 36.0 |
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_etymology_text |
capital_etymology_text | string | 0% | 1 | name derives from the Arabic al-jazair, meaning "the... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 1525.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 58 provinces (wilayas, singular - wilaya); Adrar, Ain... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 58.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of French civil law and Islamic law;... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest approved by referendum 1 November 2020 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president of the republic or through the... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | has not submitted an ICJ jurisdiction declaration;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | the mother must be a citizen of Algeria |
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 | 7 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 7.0 |
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 Abdelmadjid TEBBOUNE (since 12 December 2019) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 12.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Prime Minister Sifi GHRIEB (since 28 August 2025) |
| +88 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DZA |
country_name |
Country name | string | SEL | 0% | 1 | Algeria |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Algeria has known many empires and dynasties, including... |
background_numeric |
background_numeric | float | 0% | 1 | 3.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ag.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DZA |
country_name |
Country name | string | SEL | 0% | 1 | Algeria |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Arabic (official), French (lingua franca), Tamazight... |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | كتاب حقائق العالم، المصدر الذي لا يمكن الاستغناء عنه... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ag.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DZA |
country_name |
Country name | string | SEL | 0% | 1 | Algeria |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 188,206 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 188206.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 25 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 25.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 2 Watch List — Algeria did not demonstrate overall... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 2.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ag.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DZA |
country_name |
Country name | string | SEL | 0% | 1 | Algeria |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_and_security_forces_text |
military_and_security_forces_text | string | 0% | 1 | Algerian People's National Army (ANP): Land Forces,... |
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 | 8% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 8.0 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 8% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 8.0 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 4.8% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 4.8 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 5.6% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 5.6 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 6.7% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 6.7 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | information varies; estimated 200,000 active ANP,... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 200000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the Algerian military has traditionally been armed... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | 2025.0 |
military_service_age_and_obligation_text |
military_service_age_and_obligation_text | string | 0% | 1 | 18 years of age for voluntary military service for men... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_note_text |
military_note_text | string | 0% | 1 | the ANP is responsible for external defense but also has... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2011.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ag.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 47735685.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 24219668.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 23516017.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 30.8 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 62.3 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 6.9 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 60.5 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 48.9 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 11.5 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 29.3 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 1.47 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 19.62 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 4.39 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.52 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 75.3 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.99 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.05 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 1.03 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 62.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 18.6 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 77.9 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.91 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.42 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 1.66 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 1.6 |
country_code |
Country code | string | SEL | 0% | 1 | DZA |
country_name |
Country name | string | SEL | 0% | 1 | Algeria |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_total_text |
population_total_text | string | 0% | 1 | 47,735,685 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 24,219,668 |
population_female_text |
population_female_text | string | 0% | 1 | 23,516,017 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 30.8% (male 7,411,337/female 7,062,794) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 62.3% (male 14,846,102/female 14,441,034) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 6.9% (2024 est.) (male 1,597,382/female 1,663,824) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 60.5 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 48.9 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 11.5 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 8.7 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 8.7 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 29.3 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 28.8 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 28.8 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 29.4 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 29.4 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 1.47% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 19.62 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 4.39 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.52 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | the vast majority of the populace is found in the... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 75.3% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.99% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 2.902 million ALGIERS (capital), 936,000 Oran (2022) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 2.902 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.05 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.05 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.05 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1.03 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.03 |
| +86 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DZA |
country_name |
Country name | string | SEL | 0% | 1 | Algeria |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_ethnicity_primary_label_synth |
Arab-Amazigh | string | CCL | 0% | - | Arab-Amazigh |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Muslim (official; predominantly Sunni) 99%, other... |
religions_numeric |
religions_numeric | float | 0% | 1 | 99.0 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ag.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_muslim_official_predominantly_sunni_pct_synth |
Muslim (official; predominantly Sunni) | numeric | 0% | - | 99.0 |
composition_religion_other_includes_christian_jewish_ahmadi_muslim_shia_muslim_ibadi_muslim_pct_synth |
other (includes Christian, Jewish, Ahmadi Muslim, Shia Muslim, Ibadi Muslim) | numeric | 0% | - | 0.5 |
composition_ethnicity_arab_amazigh_pct_synth |
Arab-Amazigh | numeric | 0% | - | 99.0 |
composition_ethnicity_european_pct_synth |
European | numeric | 0% | - | 0.5 |
composition_ethnicity_primary_share_pct_synth |
Arab-Amazigh | numeric | 0% | - | 99.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DZA |
country_name |
Country name | string | SEL | 0% | 1 | Algeria |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
space_agency_agencies_text |
space_agency_agencies_text | string | 0% | 1 | Algerian Space Agency (Agence Spatiale Algérienne, ASAL;... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 2002.0 |
space_launch_site_s_text |
space_launch_site_s_text | string | 0% | 1 | none; note - in 1947, Algeria began hosting a French... |
space_launch_site_s_numeric |
space_launch_site_s_numeric | float | 0% | 1 | 1947.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | has a national space policy and space research program... |
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 | 2002 - first remote sensing (RS) satellite (Alsat-1A)... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 2002.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ag.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DZA |
country_name |
Country name | string | SEL | 0% | 1 | Algeria |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
terrorist_group_s_text |
terrorist_group_s_text | string | 0% | 1 | al-Qa'ida in the Islamic Maghreb (AQIM); Islamic State... |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ag.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 0% | 1 | 7T |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 95.0 |
country_code |
Country code | string | SEL | 0% | 1 | DZA |
country_name |
Country name | string | SEL | 0% | 1 | Algeria |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_numeric |
civil_aircraft_registration_country_code_prefix_numeric | float | 0% | 1 | 7.0 |
airports_text |
airports_text | string | 0% | 1 | 95 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 11 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 11.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 4,020 km (2019) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 4020.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 119 (2022) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 119.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 1, container ship 4, general cargo 11, oil... |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 1.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 17 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 17.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 2 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 2.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 1 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 1.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 6 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 6.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 8 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 8.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 3 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 3.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Alger, Annaba, Arzew, Arzew El Djedid, Bejaia, Mers El... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ag.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DZA, DZA, DZA, DZA, DZA |
society_id |
Society id | string | CCL | 0% | 10 | Cc11, Cc16, Cc4, Cc9, Cd12 |
society_name |
Society name | string | CCL | 0% | 10 | Azjer, Chaambra, Mzab, Tuareg Ahaggar, Algerians |
language_glottocode |
Language glottocode | string | CCL | 0% | 9 | ghat1242, algi1247, tumz1238, hogg1238, algi1247 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 6 | EA001:1; EA002:1; EA003:0; EA004:5; EA005:3, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 9 | EA006:1; EA007:8; EA008:1; EA009:1; EA010:NA, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 10 | EA028:6; EA029:4; EA030:1; EA031:NA; EA032:2, EA028:6;... |
political_complexity |
Political complexity | string | CCL | 0% | 5 | EA033:3; EA034:4; EA035:NA, EA033:3; EA034:4; EA035:NA,... |
religion_importance |
Religion importance | string | CCL | 0% | 3 | EA034:4; EA112:NA, EA034:4; EA112:NA, EA034:4; EA112:6,... |
residence_pattern |
Residence pattern | string | CCL | 0% | 4 | EA011:NA; EA012:NA; EA013:NA, EA011:1; EA012:8; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Algeria, Algeria, Algeria, Algeria, Algeria |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 8 | 25.0, 32.0, 33.0, 23.0, 31.0 |
longitude |
longitude | float | 0% | 8 | 10.0, 3.0, 4.0, 6.0, 2.0 |
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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | DZA, DZA, DZA, DZA, DZA |
gns_language_code |
gns_language_code | string | CCL | 0% | 5 | ara, eng, fra, tzm, rus |
gns_language_name |
gns_language_name | string | CCL | 0% | 5 | Arabic, English, French, Tamazight, Central Atlas, Russian |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 5 | 367, 82, 6, 4, 1 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 5 | 79.7826, 17.8261, 1.3043, 0.8696, 0.2174 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 3 | 271, 0, 0, 2, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 3 | Arab, , , Tfng, |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 3 | Arabic, , , Tifinagh (Berber), |
gns_script_count |
gns_script_count | integer | CCL | 0% | 2 | 1, 0, 0, 1, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | DZA |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Algeria |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 5 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 2 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9915 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 275 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 70706 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 54035 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 70700 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 6 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 12508 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 8205 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 20795 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 16376 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 21125 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 16462 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 3694 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 3196 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 10771 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 8577 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 1314 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 824 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 493 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 389 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 4 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 4 |
gns_name_count_undersea |
gns_name_count_undersea | integer | 0% | 1 | 2 |
gns_feature_count_undersea |
gns_feature_count_undersea | integer | 0% | 1 | 2 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DZA, DZA |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 2 | Arabs, Berbers |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | DOMINANT, POWERLESS |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 2 | 0.72, 0.28 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 2 | 61501000, 61502000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | , false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | DZA |
source |
source | string | 0% | 1 | Global Organized Crime Index |
source_url |
source_url | string | 0% | 1 | https://ocindex.net/ |
year |
year | integer | 0% | 1 | 2025 |
license |
license | string | 0% | 1 | Creative Commons (GI-TOC / ENACT) |
oc_anti_money_laundering_rank |
oc_anti_money_laundering_rank | integer | 0% | 1 | 122 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 5 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | float | 0% | 1 | 4.5 |
oc_anti_money_laundering_2019 |
oc_anti_money_laundering_2019 | integer | 0% | 1 | 3 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 106 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | float | 0% | 1 | 4.5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 5 |
oc_arms_trafficking_2019 |
oc_arms_trafficking_2019 | integer | 0% | 1 | 5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 13 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | integer | 0% | 1 | 7 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | float | 0% | 1 | 6.5 |
oc_cannabis_trade_2019 |
oc_cannabis_trade_2019 | integer | 0% | 1 | 6 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 101 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | integer | 0% | 1 | 4 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 3.5 |
oc_cocaine_trade_2019 |
oc_cocaine_trade_2019 | float | 0% | 1 | 3.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 126 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 4.6 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 4.38 |
oc_criminal_actors_2019 |
oc_criminal_actors_2019 | float | 0% | 1 | 4.13 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 74 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 5.17 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 4.65 |
oc_criminal_markets_2019 |
oc_criminal_markets_2019 | float | 0% | 1 | 4.3 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 120 |
| +103 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DZA |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
wave |
wave | integer | 0% | 1 | 7 |
wave_years |
wave_years | string | 0% | 1 | 2017-2022 |
source |
source | string | 0% | 1 | World Values Survey |
importance_religion |
importance_religion | integer | 0% | 1 | 1 |
importance_family |
importance_family | integer | 0% | 1 | 1 |
importance_friends |
importance_friends | integer | 0% | 1 | 1 |
trust_people |
trust_people | integer | 0% | 1 | 1 |
trust_family |
trust_family | integer | 0% | 1 | 1 |
life_satisfaction |
life_satisfaction | integer | 0% | 1 | 1 |
happiness |
happiness | integer | 0% | 1 | 1 |
freedom_choice |
freedom_choice | integer | 0% | 1 | 1 |
gender_jobs_scarce |
gender_jobs_scarce | integer | 0% | 1 | 1 |
gender_political_leaders |
gender_political_leaders | integer | 0% | 1 | 1 |
gender_university |
gender_university | integer | 0% | 1 | 1 |
justifiable_divorce |
justifiable_divorce | integer | 0% | 1 | 1 |
justifiable_homosexuality |
justifiable_homosexuality | integer | 0% | 1 | 1 |
immigration_policy |
immigration_policy | integer | 0% | 1 | 1 |
immigrants_jobs |
immigrants_jobs | integer | 0% | 1 | 1 |
immigrants_culture |
immigrants_culture | integer | 0% | 1 | 1 |
confidence_government |
confidence_government | integer | 0% | 1 | 1 |
confidence_parliament |
confidence_parliament | integer | 0% | 1 | 1 |
confidence_police |
confidence_police | integer | 0% | 1 | 1 |
confidence_courts |
confidence_courts | integer | 0% | 1 | 1 |
confidence_press |
confidence_press | integer | 0% | 1 | 1 |
democracy_importance |
democracy_importance | integer | 0% | 1 | 1 |
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| Language | Place names | Share | Script |
|---|---|---|---|
| Arabic (ara) | 367 | 79.8% | Arabic |
| English (eng) | 82 | 17.8% | — |
| French (fra) | 6 | 1.3% | — |
| Tamazight, Central Atlas (tzm) | 4 | 0.9% | Tifinagh (Berber) |
| Russian (rus) | 1 | 0.2% | — |
54,035 distinct features ·
5 languages ·
2 scripts ·
275 names in non-Roman script ·
6 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
| Source | Type | Access |
|---|---|---|
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| Ethnic Power Relations Dataset | academic | bulk_download |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| Global Data Lab | academic | api |
| World Values Survey | academic | metadata_catalog |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| World Bank Open Data | international_organization | api |
| LandScan Mosaic (ORNL) | research_institution | direct_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.