ⓘ 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 | ZMB, ZMB, ZMB, ZMB, ZMB |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 10 | Total, Central, Copperbelt, Eastern, Luapula |
human_development_index |
Human development index | float | SEL | 0% | 57 | 0.446, 0.457, 0.526, 0.362, 0.392 |
health_index |
Health index | float | SEL | 0% | 73 | 0.434, 0.466, 0.452, 0.401, 0.394 |
education_index |
Education index | float | SEL | 0% | 82 | 0.433, 0.451, 0.546, 0.284, 0.37 |
income_index |
Income index | float | SEL | 0% | 63 | 0.472, 0.454, 0.589, 0.415, 0.414 |
life_expectancy |
Life expectancy | float | SEL | 0% | 93 | 48.2, 50.26, 49.37, 46.09, 45.6 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 92 | 6.496, 6.742, 8.482, 4.101, 5.281 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 10 | 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 | ZM, ZM, ZM, ZM, ZM |
population_count |
Population count | float | SEL | 2% | 65 | 3153729.0, 3254086.0, 3358099.0, 3465907.0, 3577017.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 50.648, 51.041, 51.331, 51.605, 51.17 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 221.559848922849, 209.693206426951, 202.28103119051,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 86% | 9 | 65.0, 68.0, 69.1500015258789, 83.1399993896484, 71.129997253418 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 62 | 205.2, 201.3, 197.9, 194.7, 192.2 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 85% | 10 | 69.7, 73.8, 68.1, 66.8, 66.5 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Zambia, Zambia, Zambia, Zambia, Zambia |
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 | ZM, ZM, ZM, ZM, ZM |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 50.648, 51.041, 51.331, 51.605, 51.17 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 17% | 42 | 36.6, 36.3, 35.9, 35.4, 34.9 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 62 | 205.2, 201.3, 197.9, 194.7, 192.2 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 38 | 596.0, 619.0, 630.0, 635.0, 635.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 6.947, 6.982, 7.012, 7.06, 7.085 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 48.947, 48.922, 48.87, 48.943, 48.851 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 16.498, 16.25, 16.062, 15.891, 16.087 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 67% | 22 | 0.107, 0.088, 0.073, 0.074, 0.076 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 91% | 6 | 2.80165553092957, 3.16109991073608, 3.33680009841919,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 36% | 19 | 49.0, 59.0, 66.0, 66.0, 83.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 4.12029076, 4.77853632, 5.88845205, 5.99553585, 5.46587515 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Zambia, Zambia, Zambia, Zambia, Zambia |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| 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 |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 51 | afri1274, aush1241, bemb1257, bwil1245, chok1245 |
name |
Name | string | CCL | 0% | 51 | Afrikaans, Aushi, Bemba (Zambia), Bwile, Chokwe |
iso639_3 |
Iso639 3 | string | CCL | 2% | 50 | afr, auh, bem, bwc, cjk |
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% | 6 | indo1319, atla1278, atla1278, atla1278, atla1278 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 36 | afri1273, bemb1256, bemb1256, malu1252, chok1247 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 24 | ['BW', 'MZ', 'NA', 'ZA', 'ZM', 'ZW'], ['CD', 'ZM'],... |
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% | 12 | 3, 0, 12, 0, 2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 51 | -31.63272, -11.6295, -10.6122, -8.3041, -9.66082 |
longitude |
longitude | float | 0% | 51 | 20.46356, 29.0168, 29.2993, 29.4071, 21.3992 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZMB |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Zambia |
admin_code |
Admin code | string | SEL | 0% | 1 | 29467570B51440143346610 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 751176.8859 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 20803665 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 27.69 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZMB, ZMB, ZMB, ZMB, ZMB |
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% | 10 | Lusaka, Copperbelt, Central, Eastern, Southern |
admin_code |
Admin code | string | SEL | 0% | 10 | 6923714B17126467226495, 6923714B61812757118010,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 10 | 23480.5412, 31107.8707, 110299.2544, 51652.7579, 68188.7948 |
pop_2024 |
Population count | integer | SEL | 0% | 10 | 3504530, 3358092, 2513477, 2504431, 2459797 |
pop_density_2024 |
Population density | float | SEL | 0% | 10 | 149.25, 107.95, 22.79, 48.49, 36.07 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZMB, ZMB, ZMB, ZMB, ZMB |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 30 | Lusaka, Ndola, Kitwe, Chingola, Kabwe |
admin_code |
Admin code | integer | SEL | 0% | 30 | 1517, 2130, 1796, 1208, 1969 |
area_sqkm |
Area sqkm | float | SEL | 0% | 30 | 357.9286, 108.3431, 116.2956, 48.7028, 73.5669 |
pop_2024 |
Population count | integer | SEL | 0% | 30 | 2563540, 711124, 646794, 269187, 254497 |
pop_density_2024 |
Population density | float | SEL | 0% | 30 | 7162.15, 6563.63, 5561.64, 5527.14, 3459.4 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 30 | 3658064, 559469, 731813, 268786, 236405 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 30 | 0.701, 1.271, 0.884, 1.001, 1.077 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 30 | Lusaka, Kitwe, Ndola, Mansa, Chingola |
country_code |
Country code | string | SEL | 0% | 1 | ZMB, ZMB, ZMB, ZMB, ZMB |
population |
Population count | integer | SEL | 0% | 30 | 3658064, 731813, 559469, 427110, 268786 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 30 | 1517, 1796, 2130, 2366, 1208 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Zambia, Zambia, Zambia, Zambia, Zambia |
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 |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 2023.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 109.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .zm |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 33.0 |
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 | ZMB |
country_name |
Country name | string | SEL | 0% | 1 | Zambia |
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 | 81,000 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 81000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2023 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 23.2 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 23.2 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 109 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 47 state-controlled and private TV stations; state-owned... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 47.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 33% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 99,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 99000.0 |
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/za.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 | 3700.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 26.326 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 60.0 |
country_code |
Country code | string | SEL | 0% | 1 | ZMB |
country_name |
Country name | string | SEL | 0% | 1 | Zambia |
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 | lower-middle-income sub-Saharan economy; regional... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $79.207 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 | 79.207 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $76.129 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 | 76.129 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $72.251 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 | 72.251 |
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% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 4.0 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 5.4% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 5.4 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 5.2% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 5.2 |
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 | $3,700 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $3,700 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 3700.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $3,600 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 3600.0 |
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 | $26.326 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 15% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 15.0 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 10.9% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 10.9 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 11% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 11.0 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 1.8% (2024 est.) |
| +118 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 | 47.8 |
country_code |
Country code | string | SEL | 0% | 1 | ZMB |
country_name |
Country name | string | SEL | 0% | 1 | Zambia |
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 | 47.8% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 87% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 87.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 14.5% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 14.5 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 3.986 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 3.986 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 14.399 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 14.399 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 3 billion kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 3.0 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 180 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 180.0 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 2.229 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 2.229 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 11% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 11.0 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.8% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.8 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 87.9% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 87.9 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.4% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.4 |
coal_production_text |
coal_production_text | string | 0% | 1 | 2.091 million metric tons (2023 est.) |
coal_production_numeric |
coal_production_numeric | float | 0% | 1 | 2.091 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 2.081 million metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 2.081 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 15,000 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 15000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 103,000 metric tons (2023 est.) |
| +9 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 | 32.1 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 60.6 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 46.3 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.15 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 2.608 |
country_code |
Country code | string | SEL | 0% | 1 | ZMB |
country_name |
Country name | string | SEL | 0% | 1 | Zambia |
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 and acid rain in the mineral extraction... |
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 | tropical; modified by altitude; rainy season (October to April) |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 32.1% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 5.1% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 5.1 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.1% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.1 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 26.9% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 26.9 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 60.6% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 7.3% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 7.3 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 46.3% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.15% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 9.877 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 9.877 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 4.835 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric | float | 0% | 1 | 4.835 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 5.042 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric | float | 0% | 1 | 5.042 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 16.1 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 16.1 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 2.608 million tons (2024 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text | string | 0% | 1 | 12.6% (2022 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric | float | 0% | 1 | 12.6 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 290 million cubic meters (2022 est.) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 290.0 |
total_water_withdrawal_industrial_text |
total_water_withdrawal_industrial_text | string | 0% | 1 | 130 million cubic meters (2022 est.) |
| +7 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 | ZMB |
country_name |
Country name | string | SEL | 0% | 1 | Zambia |
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 | Zambian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Zambian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Bemba 21%, Tonga 13.6%, Chewa 7.4%, Lozi 5.7%, Nsenga... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 21.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/za.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 752618.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 743398.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 9220.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 6043.15 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 0.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2330.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 329.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 32.1 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 60.6 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 1560.0 |
country_code |
Country code | string | SEL | 0% | 1 | ZMB |
country_name |
Country name | string | SEL | 0% | 1 | Zambia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Southern Africa, east of Angola, south of the Democratic... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 15 00 S, 30 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 15.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 752,618 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 743,398 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 9,220 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | almost five times the size of Georgia; slightly larger than Texas |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 6,043.15 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Angola 1,065 km; Botswana 0.15 km; Democratic Republic... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 1065.0 |
coastline_text |
coastline_text | string | 0% | 1 | 0 km (landlocked) |
maritime_claims_text |
maritime_claims_text | string | 0% | 1 | none (landlocked) |
climate_text |
climate_text | string | 0% | 1 | tropical; modified by altitude; rainy season (October to April) |
terrain_text |
terrain_text | string | 0% | 1 | mostly high plateau with some hills and mountains |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Mafinga Central 2,330 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Zambezi river 329 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 1,138 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 1138.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | copper, cobalt, zinc, lead, coal, emeralds, gold,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 32.1% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 5.1% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 5.1 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.1% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.1 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 26.9% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 26.9 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 60.6% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 7.3% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 7.3 |
| +16 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 | ZMB |
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 | Republic of Zambia |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Zambia |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Northern Rhodesia |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | name is derived from the Zambezi River, which flows... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Lusaka |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 15 25 S, 28 17 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 15.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+2 (7 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 2.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | named after a village with a headman (chief) called LUSAAKAS |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 10 provinces; Central, Copperbelt, Eastern, Luapula,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 10.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of English common law and customary law |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest adopted 24 August 1991,... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 24.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the National Assembly; passage requires... |
constitution_amendment_process_numeric |
constitution_amendment_process_numeric | float | 0% | 1 | 30.0 |
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 | only if at least one parent is a citizen of Zambia |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | yes, if at least one parent was a citizen of Zambia |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | yes |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 5 years for those with an ancestor who was a citizen of... |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 5.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President Hakainde HICHILEMA (since 24 August 2021) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 24.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | President Hakainde HICHILEMA (since 24 August 2021) |
executive_branch_head_of_government_numeric |
executive_branch_head_of_government_numeric | float | 0% | 1 | 24.0 |
| +70 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 | ZMB |
country_name |
Country name | string | SEL | 0% | 1 | Zambia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Bantu-speaking groups mainly from the Luba and Lunda... |
background_numeric |
background_numeric | float | 0% | 1 | 300.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/za.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZMB |
country_name |
Country name | string | SEL | 0% | 1 | Zambia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | Bemba 33.4%, Nyanja 14.7%, Tonga 11.4%, Lozi 5.5%, Chewa... |
languages_numeric |
languages_numeric | float | 0% | 1 | 33.4 |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/za.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZMB |
country_name |
Country name | string | SEL | 0% | 1 | Zambia |
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 | 88,918 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 88918.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 131,349 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 131349.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/za.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZMB |
country_name |
Country name | string | SEL | 0% | 1 | Zambia |
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 | Zambia Defense Force (ZDF): Zambia Army, Zambia Air... |
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 | 1.3% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 1.3 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.3% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.3 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.1% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.1 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1.1% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.1 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1.2% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.2 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 16,000 active Defense Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 16000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the ZDF's inventory is largely comprised of Chinese,... |
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 | 18-25 years of age (17 with parental consent) for... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_deployments_text |
military_deployments_text | string | 0% | 1 | 930 Central African Republic (MINUSCA) (2025) |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 930.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Zambia Defense Forces (ZDF) are responsible for... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1964.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/za.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 22021971.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 11066079.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 10955892.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 42.1 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 55.1 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 2.8 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 75.8 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 71.3 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 4.5 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 19.0 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.51 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 29.6 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 4.91 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 0.4 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 46.3 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.15 |
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 | 1.0 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 85.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 30.1 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 66.9 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 3.67 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.81 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.32 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 71.1 |
country_code |
Country code | string | SEL | 0% | 1 | ZMB |
country_name |
Country name | string | SEL | 0% | 1 | Zambia |
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 | 22,021,971 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 11,066,079 |
population_female_text |
population_female_text | string | 0% | 1 | 10,955,892 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 42.1% (male 4,418,980/female 4,337,187) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 55.1% (male 5,726,265/female 5,736,732) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 2.8% (2024 est.) (male 262,008/female 317,944) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 75.8 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 71.3 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 4.5 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 22.3 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 22.3 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 19 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 18.2 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 18.2 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 18.6 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 18.6 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2.51% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 29.6 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 4.91 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 0.4 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | one of the highest levels of urbanization in Africa;... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 46.3% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.15% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 3.181 million LUSAKA (capital), 763,000 Kitwe (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 3.181 |
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 | 1.02 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.02 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.0 |
| +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 | ZMB |
country_name |
Country name | string | SEL | 0% | 1 | Zambia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 2.7 |
composition_ethnicity_primary_label_synth |
Bemba | string | CCL | 0% | - | Bemba |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Protestant 75.3%, Roman Catholic 20.2%, other 2.7%... |
religions_numeric |
religions_numeric | float | 0% | 1 | 75.3 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/za.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 75.3 |
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 20.2 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 1.8 |
composition_ethnicity_bemba_pct_synth |
Bemba | numeric | 0% | - | 21.0 |
composition_ethnicity_tonga_pct_synth |
Tonga | numeric | 0% | - | 13.6 |
composition_ethnicity_chewa_pct_synth |
Chewa | numeric | 0% | - | 7.4 |
composition_ethnicity_lozi_pct_synth |
Lozi | numeric | 0% | - | 5.7 |
composition_ethnicity_nsenga_pct_synth |
Nsenga | numeric | 0% | - | 5.3 |
composition_ethnicity_tumbuka_pct_synth |
Tumbuka | numeric | 0% | - | 4.4 |
composition_ethnicity_ngoni_pct_synth |
Ngoni | numeric | 0% | - | 4.0 |
composition_ethnicity_lala_pct_synth |
Lala | numeric | 0% | - | 3.1 |
composition_ethnicity_kaonde_pct_synth |
Kaonde | numeric | 0% | - | 2.9 |
composition_ethnicity_namwanga_pct_synth |
Namwanga | numeric | 0% | - | 2.8 |
composition_ethnicity_lunda_north_western_pct_synth |
Lunda (north Western) | numeric | 0% | - | 2.6 |
composition_ethnicity_mambwe_pct_synth |
Mambwe | numeric | 0% | - | 2.5 |
composition_ethnicity_luvale_pct_synth |
Luvale | numeric | 0% | - | 2.2 |
composition_ethnicity_lamba_pct_synth |
Lamba | numeric | 0% | - | 2.1 |
composition_ethnicity_ushi_pct_synth |
Ushi | numeric | 0% | - | 1.9 |
composition_ethnicity_lenje_pct_synth |
Lenje | numeric | 0% | - | 1.6 |
composition_ethnicity_bisa_pct_synth |
Bisa | numeric | 0% | - | 1.6 |
composition_ethnicity_mbunda_pct_synth |
Mbunda | numeric | 0% | - | 1.2 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 13.8 |
composition_ethnicity_unspecified_pct_synth |
unspecified | numeric | 0% | - | 0.4 |
composition_ethnicity_primary_share_pct_synth |
Bemba | numeric | 0% | - | 21.0 |
| 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 | 9J |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 120.0 |
country_code |
Country code | string | SEL | 0% | 1 | ZMB |
country_name |
Country name | string | SEL | 0% | 1 | Zambia |
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 | 9.0 |
airports_text |
airports_text | string | 0% | 1 | 120 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 4 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 4.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 3,126 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 3126.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 3,126 km (2014) 1.067-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 3126.0 |
railways_note |
railways_note | string | 0% | 1 | note: includes 1,860 km of the Tanzania-Zambia Railway... |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 2 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 2.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 1, oil tanker 1 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 1.0 |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/za.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 100% | - | - |
region_name |
Region name | string | SEL | 0% | 10 | EASTERN, MUCHINGA, NORTH-WESTERN, CENTRAL, LUAPULA |
T_TL |
Total population | integer | SEL | 0% | 10 | 2119981, 964189, 927181, 1654706, 1243727 |
M_TL |
Male population | integer | SEL | 0% | 10 | 1056542, 479655, 462418, 831446, 620157 |
F_TL |
Female population | integer | SEL | 0% | 10 | 1063439, 484534, 464763, 823260, 623570 |
| 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 | 2020, 2020, 2020, 2020, 2020 |
ADM0_EN |
ADM0_EN | string | 0% | 1 | Zambia, Zambia, Zambia, Zambia, Zambia |
ADM0_CODE |
ADM0_CODE | string | 0% | 1 | ZM, ZM, ZM, ZM, ZM |
ADM1_CODE |
ADM1_CODE | string | 0% | 10 | ZM30, ZM11, ZM70, ZM10, ZM40 |
T_0004 |
T_0004 | integer | 0% | 10 | 391374, 184904, 179539, 299967, 235994 |
T_0509 |
T_0509 | integer | 0% | 10 | 338535, 160863, 150049, 258234, 200495 |
T_1014 |
T_1014 | integer | 0% | 10 | 281180, 127347, 123876, 222533, 164082 |
T_1519 |
T_1519 | integer | 0% | 10 | 222399, 99486, 99246, 184065, 126569 |
T_2024 |
T_2024 | integer | 0% | 10 | 182592, 81616, 79025, 147410, 99779 |
T_2529 |
T_2529 | integer | 0% | 10 | 148372, 67022, 65928, 114608, 84918 |
T_3034 |
T_3034 | integer | 0% | 10 | 119913, 52145, 52379, 95555, 71124 |
T_3539 |
T_3539 | integer | 0% | 10 | 103763, 45627, 42957, 81444, 61440 |
T_4044 |
T_4044 | integer | 0% | 10 | 87438, 39315, 38178, 69942, 55744 |
T_4549 |
T_4549 | integer | 0% | 10 | 66519, 29774, 27695, 51460, 41404 |
T_5054 |
T_5054 | integer | 0% | 10 | 47552, 21181, 19246, 38074, 31079 |
T_5559 |
T_5559 | integer | 0% | 10 | 36973, 15687, 14767, 28566, 23220 |
T_6064 |
T_6064 | integer | 0% | 10 | 31889, 13702, 11589, 22791, 18676 |
T_6569 |
T_6569 | integer | 0% | 10 | 22182, 9720, 8161, 15353, 12097 |
T_7074 |
T_7074 | integer | 0% | 10 | 18021, 7646, 6490, 11527, 8825 |
T_7579 |
T_7579 | integer | 0% | 10 | 11365, 4774, 4415, 7601, 5039 |
T_80Plus |
T_80Plus | integer | 0% | 10 | 9914, 3380, 3641, 5576, 3242 |
M_0004 |
M_0004 | integer | 0% | 10 | 196678, 92997, 90438, 150948, 118812 |
M_0509 |
M_0509 | integer | 0% | 10 | 170815, 81118, 75504, 130298, 101326 |
M_1014 |
M_1014 | integer | 0% | 10 | 143846, 65049, 62643, 112354, 83927 |
M_1519 |
M_1519 | integer | 0% | 10 | 114448, 49885, 50154, 93562, 63902 |
M_2024 |
M_2024 | integer | 0% | 10 | 92536, 39893, 39872, 75381, 48282 |
M_2529 |
M_2529 | integer | 0% | 10 | 73997, 32845, 32627, 57379, 40783 |
M_3034 |
M_3034 | integer | 0% | 10 | 59737, 25866, 26009, 47192, 34943 |
M_3539 |
M_3539 | integer | 0% | 10 | 50846, 22173, 20792, 40608, 30038 |
| +26 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 | ZMB, ZMB, ZMB, ZMB, ZMB |
society_id |
Society id | string | CCL | 0% | 9 | Ab3, Ac1, Cf2, Ac3, Ac32 |
society_name |
Society name | string | CCL | 0% | 9 | Lozi, Ila, Boers, Bemba, Kaonde |
language_glottocode |
Language glottocode | string | CCL | 0% | 9 | lozi1239, ilaa1246, afri1274, town1238, kaon1241 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 9 | EA001:1; EA002:2; EA003:1; EA004:2; EA005:4, EA001:1;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 7 | EA006:3; EA007:2; EA008:5; EA009:5; EA010:9, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 8 | EA028:5; EA029:6; EA030:3; EA031:2; EA032:2, EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 8 | EA033:4; EA034:2; EA035:NA, EA033:2; EA034:2; EA035:6,... |
religion_importance |
Religion importance | string | CCL | 0% | 6 | EA034:2; EA112:6, EA034:2; EA112:6, EA034:NA; EA112:NA,... |
residence_pattern |
Residence pattern | string | CCL | 0% | 8 | EA011:1; EA012:10; EA013:9, EA011:1; EA012:10; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Zambia, Zambia, Zambia, Zambia, Zambia |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 6 | -15.0, -16.0, -16.0, -11.0, -13.0 |
longitude |
longitude | float | 0% | 8 | 23.0, 27.0, 28.0, 31.0, 26.0 |
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 | ZMB, ZMB, ZMB, ZMB, ZMB |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 7 | Bemba speakers, Nyanja speakers (Easterners),... |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 3 | SENIOR PARTNER, SENIOR PARTNER, POWERLESS, JUNIOR... |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 6 | 0.43, 0.3, 0.12, 0.08, 0.03 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 7 | 55101000, 55106000, 55107000, 55103000, 55104000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 | false, false, false, false, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , , , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZMB |
economic_conditions |
Economic conditions | integer | CCL | 0% | 1 | 1 |
living_conditions |
Living conditions | integer | CCL | 0% | 1 | 1 |
employment_situation |
Employment situation | integer | CCL | 0% | 1 | 1 |
food_insecurity |
Food insecurity | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZMB |
women_equal_rights |
Women equal rights | integer | CCL | 0% | 1 | 1 |
women_political_leaders |
Women political leaders | integer | CCL | 0% | 1 | 1 |
women_land_rights |
Women land rights | integer | CCL | 0% | 1 | 1 |
domestic_violence_justified |
Domestic violence justified | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZMB |
trust_president |
Trust president | integer | CCL | 0% | 1 | 1 |
trust_parliament |
Trust parliament | integer | CCL | 0% | 1 | 1 |
trust_courts |
Trust courts | integer | CCL | 0% | 1 | 1 |
trust_police |
Trust police | integer | CCL | 0% | 1 | 1 |
trust_army |
Trust army | integer | CCL | 0% | 1 | 1 |
corruption_perception |
Corruption perception | integer | CCL | 0% | 1 | 1 |
democracy_satisfaction |
Democracy satisfaction | integer | CCL | 0% | 1 | 1 |
democracy_preference |
Democracy preference | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZMB |
emigration_considered |
Emigration considered | integer | CCL | 0% | 1 | 1 |
immigration_attitude |
Immigration attitude | integer | CCL | 0% | 1 | 1 |
foreign_workers_attitude |
Foreign workers attitude | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZMB |
trust_relatives |
Trust relatives | integer | CCL | 0% | 1 | 1 |
trust_neighbors |
Trust neighbors | integer | CCL | 0% | 1 | 1 |
trust_other_ethnic |
Trust other ethnic | integer | CCL | 0% | 1 | 1 |
trust_other_religion |
Trust other religion | integer | CCL | 0% | 1 | 1 |
national_identity_vs_ethnic |
National identity vs ethnic | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | ZMB |
gns_language_code |
gns_language_code | string | CCL | 0% | 1 | eng |
gns_language_name |
gns_language_name | string | CCL | 0% | 1 | English |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 1 | 843 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 1 | 100.0 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | ZMB |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Zambia |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 1 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9897 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 38969 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 29326 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 38965 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 4 |
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 | 15334 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 13088 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 15692 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 10330 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 4751 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 3396 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 1813 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 1571 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 438 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 285 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 366 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 315 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 566 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 333 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 9 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 8 |
| 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 | ZMB |
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 | 47 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | float | 0% | 1 | 5.5 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 5 |
oc_anti_money_laundering_2019 |
oc_anti_money_laundering_2019 | integer | 0% | 1 | 2 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 148 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | float | 0% | 1 | 3.5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 4 |
oc_arms_trafficking_2019 |
oc_arms_trafficking_2019 | integer | 0% | 1 | 4 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 100 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | integer | 0% | 1 | 5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 5 |
oc_cannabis_trade_2019 |
oc_cannabis_trade_2019 | integer | 0% | 1 | 5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 126 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 3.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | integer | 0% | 1 | 3 |
oc_cocaine_trade_2019 |
oc_cocaine_trade_2019 | integer | 0% | 1 | 3 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 111 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | integer | 0% | 1 | 5 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 5.25 |
oc_criminal_actors_2019 |
oc_criminal_actors_2019 | float | 0% | 1 | 5.13 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 117 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 4.47 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 4.6 |
oc_criminal_markets_2019 |
oc_criminal_markets_2019 | float | 0% | 1 | 4.6 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 74 |
| +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 | ZMB |
| 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 |
|---|---|---|---|
| English (eng) | 843 | 100.0% | — |
29,326 distinct features ·
1 language ·
0 scripts ·
4 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 |
|---|---|---|
| HDX COD — Population Statistics (OCHA/UNFPA) | international_organization | bulk_download |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| Global Data Lab | academic | api |
| World Values Survey | academic | metadata_catalog |
| Afrobarometer | academic | api |
| Ethnic Power Relations Dataset | academic | bulk_download |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| World Bank Open Data | international_organization | api |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| 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.