| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | ZAF |
Women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_argues_wit |
Women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_argues_wit | float | 0% | 1 | 2.2 |
Women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_burns_the_ |
Women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_burns_the_ | float | 0% | 1 | 1.0 |
Women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_goes_out_w |
Women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_goes_out_w | float | 0% | 1 | 2.1 |
Women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_neglects_t |
Women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_neglects_t | float | 0% | 1 | 3.8 |
Women_who_believe_a_husband_is_justified_in_beating_his_wife_any_of_five_reasons |
Women_who_believe_a_husband_is_justified_in_beating_his_wife_any_of_five_reasons | float | 0% | 1 | 5.5 |
Women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_refuses_se |
Women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_refuses_se | float | 0% | 1 | 1.0 |
Total_alcohol_consumption_per_capita_female_liters_of_pure_alcohol_projected_est |
Total_alcohol_consumption_per_capita_female_liters_of_pure_alcohol_projected_est | float | 0% | 1 | 2.31 |
Total_alcohol_consumption_per_capita_liters_of_pure_alcohol_projected_estimates_ |
Total_alcohol_consumption_per_capita_liters_of_pure_alcohol_projected_estimates_ | float | 0% | 1 | 7.13 |
Total_alcohol_consumption_per_capita_male_liters_of_pure_alcohol_projected_estim |
Total_alcohol_consumption_per_capita_male_liters_of_pure_alcohol_projected_estim | float | 0% | 1 | 12.41 |
Prevalence_of_anemia_among_women_of_reproductive_age_pct_of_women_ages_15-49 |
Prevalence_of_anemia_among_women_of_reproductive_age_pct_of_women_ages_15-49 | float | 0% | 1 | 31.2 |
Prevalence_of_anemia_among_children_pct_of_children_ages_6-59_months |
Prevalence_of_anemia_among_children_pct_of_children_ages_6-59_months | float | 0% | 1 | 44.4 |
Prevalence_of_anemia_among_non-pregnant_women_pct_of_women_ages_15-49 |
Prevalence_of_anemia_among_non-pregnant_women_pct_of_women_ages_15-49 | float | 0% | 1 | 31.3 |
Condom_use_population_ages_15-24_female_pct_of_females_ages_15-24 |
Condom_use_population_ages_15-24_female_pct_of_females_ages_15-24 | float | 0% | 1 | 46.1 |
Condom_use_population_ages_15-24_male_pct_of_males_ages_15-24 |
Condom_use_population_ages_15-24_male_pct_of_males_ages_15-24 | float | 0% | 1 | 57.1 |
Cause_of_death_by_communicable_diseases_and_maternal_prenatal_and_nutrition_cond |
Cause_of_death_by_communicable_diseases_and_maternal_prenatal_and_nutrition_cond | float | 0% | 1 | 35.6803578327848 |
Number_of_infant_deaths |
Number_of_infant_deaths | float | 0% | 1 | 28900.0 |
Cause_of_death_by_injury_pct_of_total |
Cause_of_death_by_injury_pct_of_total | float | 0% | 1 | 12.9895858197131 |
Number_of_under-five_deaths |
Number_of_under-five_deaths | float | 0% | 1 | 40976.0 |
Cause_of_death_by_non-communicable_diseases_pct_of_total |
Cause_of_death_by_non-communicable_diseases_pct_of_total | float | 0% | 1 | 51.3300565987341 |
Number_of_neonatal_deaths |
Number_of_neonatal_deaths | float | 0% | 1 | 13830.0 |
Women's_share_of_population_ages_15+_living_with_HIV_pct |
Women's_share_of_population_ages_15+_living_with_HIV_pct | float | 0% | 1 | 66.445678318115 |
Prevalence_of_HIV_total_pct_of_population_ages_15-49 |
Prevalence_of_HIV_total_pct_of_population_ages_15-49 | float | 0% | 1 | 17.2 |
Mortality_rate_under-5_per_1000_live_births |
Mortality_rate_under-5_per_1000_live_births | float | 0% | 1 | 34.7 |
Mortality_rate_under-5_female_per_1000_live_births |
Mortality_rate_under-5_female_per_1000_live_births | float | 0% | 1 | 31.9 |
Mortality_rate_under-5_male_per_1000_live_births |
Mortality_rate_under-5_male_per_1000_live_births | float | 0% | 1 | 37.2 |
Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_female_pc |
Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_female_pc | float | 0% | 1 | 24.7 |
Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_male_pct |
Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_male_pct | float | 0% | 1 | 20.1 |
Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_pct |
Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_pct | float | 0% | 1 | 22.7 |
Mortality_rate_neonatal_per_1000_live_births |
Mortality_rate_neonatal_per_1000_live_births | float | 0% | 1 | 11.7 |
| +504 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 | ZAF, ZAF, ZAF, ZAF, ZAF |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 10 | Total, Eastern Cape, Free State, Gauteng, KwaZulu Natal |
human_development_index |
Human development index | float | SEL | 0% | 74 | 0.672, 0.614, 0.687, 0.746, 0.625 |
health_index |
Health index | float | SEL | 0% | 77 | 0.661, 0.605, 0.678, 0.69, 0.618 |
education_index |
Education index | float | SEL | 0% | 77 | 0.666, 0.643, 0.684, 0.761, 0.609 |
income_index |
Income index | float | SEL | 0% | 72 | 0.69, 0.596, 0.7, 0.789, 0.649 |
life_expectancy |
Life expectancy | float | SEL | 0% | 98 | 62.94, 59.31, 64.08, 64.88, 60.16 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 100 | 9.993, 8.962, 9.855, 12.74, 9.058 |
| 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_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 | ZA, ZA, ZA, ZA, ZA |
population_count |
Population count | float | SEL | 2% | 65 | 16440172.0, 16908035.0, 17418522.0, 17954564.0, 18511361.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 52.575, 53.067, 53.566, 53.895, 54.215 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 532.147504330332, 545.657511922673, 563.423008817945,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 80% | 13 | 76.1999969482422, 82.4000015258789, 88.7200012207031,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 24% | 45 | 132.3, 125.0, 117.8, 111.0, 104.7 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 91% | 6 | 31.0, 38.0, 66.6, 62.1, 53.2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | South Africa, South Africa, South Africa, South Africa,... |
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 | ZA, ZA, ZA, ZA, ZA |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 52.575, 53.067, 53.566, 53.895, 54.215 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 26% | 38 | 28.3, 27.9, 27.6, 27.3, 26.8 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 24% | 45 | 132.3, 125.0, 117.8, 111.0, 104.7 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 32 | 208.0, 200.0, 192.0, 184.0, 177.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 6.105, 6.08, 6.046, 6.012, 5.955 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 39.82, 39.74, 39.674, 39.693, 39.6 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 14.196, 13.844, 13.516, 13.303, 13.097 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 67% | 21 | 0.488, 0.539, 0.551, 0.613, 0.624 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 92% | 5 | 2.99, 2.78, 2.34, 2.32, 2.25 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 36% | 15 | 74.0, 75.0, 75.0, 70.0, 72.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 7.3366189, 7.12327909, 6.67774487, 7.04098177, 6.938416 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | South Africa, South Africa, South Africa, South Africa,... |
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 | ZAF |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | South Africa |
admin_code |
Admin code | string | SEL | 0% | 1 | 27424455B76804586687927 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 1220824.4033 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 60387911 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 49.46 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZAF, ZAF, ZAF, ZAF, ZAF |
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% | 9 | Gauteng, KwaZulu-Natal, Western Cape, Eastern Cape, Limpopo |
admin_code |
Admin code | string | SEL | 0% | 9 | 76434192B69392740373411, 76434192B26311534340602,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 9 | 18178.1011, 94365.1634, 129469.763, 168965.6057, 125753.0178 |
pop_2024 |
Population count | integer | SEL | 0% | 9 | 14712536, 12101254, 7195186, 7043016, 6404677 |
pop_density_2024 |
Population density | float | SEL | 0% | 9 | 809.35, 128.24, 55.57, 41.68, 50.93 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZAF, ZAF, ZAF, ZAF, ZAF |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 81 | Johannesburg, Cape Town, Durban, Pretoria, Soshanguve |
admin_code |
Admin code | integer | SEL | 0% | 81 | 3512, 431, 4787, 3943, 3809 |
area_sqkm |
Area sqkm | float | SEL | 0% | 80 | 1748.7982, 693.2449, 804.2626, 475.0044, 391.3399 |
pop_2024 |
Population count | integer | SEL | 0% | 81 | 7685683, 3994150, 3316348, 2022363, 965278 |
pop_density_2024 |
Population density | float | SEL | 0% | 81 | 4394.84, 5761.53, 4123.46, 4257.57, 2466.6 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 81 | 8592843, 4338251, 3270868, 1826232, 1463579 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 79 | 0.894, 0.921, 1.014, 1.107, 0.66 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 81 | Johannesburg, Cape Town, Durban, Pretoria, Soshanguve |
country_code |
Country code | string | SEL | 0% | 1 | ZAF, ZAF, ZAF, ZAF, ZAF |
population |
Population count | integer | SEL | 0% | 81 | 8592843, 4338251, 3270868, 1826232, 1463579 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 81 | 3512, 431, 4787, 3943, 3809 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | South Africa, South Africa, South Africa, South Africa,... |
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 |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 61 | ZA2, ZA4, ZA7, ZA5, ZA9 |
region_name |
Region name | string | SEL | 0% | 61 | EASTERN CAPE, FREE STATE, GAUTENG, KWAZULU-NATAL, LIMPOPO |
F_TL |
Female population | integer | SEL | 0% | 61 | 3414336, 1357105, 7197885, 5420288, 2923505 |
M_TL |
Male population | integer | SEL | 0% | 61 | 3096480, 1306597, 7562282, 4998523, 2603752 |
T_TL |
Total population | integer | SEL | 0% | 61 | 6510816, 2663702, 14760167, 10418811, 5527257 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 2 | 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 | SOUTH AFRICA, SOUTH AFRICA, SOUTH AFRICA, SOUTH AFRICA,... |
F_00_04 |
Female population age 0-4 | integer | 0% | 61 | 328704, 124238, 615174, 527088, 304514 |
F_05_09 |
Female population age 5-9 | integer | 0% | 61 | 363640, 130152, 555231, 542249, 309333 |
F_10_14 |
Female population age 10-14 | integer | 0% | 61 | 350805, 121402, 509379, 550241, 304325 |
F_15_19 |
Female population age 15-19 | integer | 0% | 60 | 321800, 112897, 495559, 507141, 281151 |
F_20_24 |
Female population age 20-24 | integer | 0% | 61 | 254023, 111225, 667199, 477728, 233537 |
F_25_29 |
Female population age 25-29 | integer | 0% | 61 | 238107, 112655, 789609, 485293, 228073 |
F_30_34 |
Female population age 30-34 | integer | 0% | 61 | 252090, 120583, 829103, 473162, 237921 |
F_35_39 |
Female population age 35-39 | integer | 0% | 61 | 226520, 103363, 650479, 373875, 203613 |
F_40_44 |
Female population age 40-44 | integer | 0% | 61 | 188363, 83796, 477166, 281786, 153274 |
F_45_49 |
Female population age 45-49 | integer | 0% | 61 | 162289, 69514, 373317, 242661, 130753 |
F_50_54 |
Female population age 50-54 | integer | 0% | 61 | 158633, 61239, 322970, 212385, 108444 |
F_55_59 |
Female population age 55-59 | integer | 0% | 61 | 142540, 56730, 278134, 195892, 96554 |
F_60_64 |
Female population age 60-64 | integer | 0% | 61 | 129488, 49516, 225106, 185972, 88721 |
F_65_69 |
Female population age 65-69 | integer | 0% | 61 | 105427, 39113, 169214, 139550, 83068 |
F_70_74 |
Female population age 70-74 | integer | 0% | 61 | 88501, 27696, 113292, 103513, 64193 |
F_75_79 |
Female population age 75-79 | integer | 0% | 61 | 57343, 18967, 70895, 65299, 46796 |
F_80PLUS |
F_80PLUS | integer | 0% | 61 | 46063, 14019, 56058, 56453, 49235 |
M_00_04 |
Male population age 0-4 | integer | 0% | 61 | 333703, 123796, 619680, 529708, 304602 |
M_05_09 |
Male population age 5-9 | integer | 0% | 61 | 366411, 129450, 553576, 543653, 307258 |
M_10_14 |
Male population age 10-14 | integer | 0% | 61 | 355880, 119851, 498099, 546980, 306240 |
M_15_19 |
Male population age 15-19 | integer | 0% | 60 | 326522, 111573, 477444, 497196, 287489 |
M_20_24 |
Male population age 20-24 | integer | 0% | 61 | 235333, 110215, 654378, 433525, 224332 |
M_25_29 |
Male population age 25-29 | integer | 0% | 61 | 210413, 110622, 820373, 435844, 193548 |
M_30_34 |
Male population age 30-34 | integer | 0% | 61 | 223550, 123984, 954766, 443778, 200677 |
M_35_39 |
Male population age 35-39 | integer | 0% | 61 | 202807, 105012, 798309, 380765, 168667 |
M_40_44 |
Male population age 40-44 | integer | 0% | 61 | 165519, 86877, 591885, 274955, 133442 |
M_45_49 |
Male population age 45-49 | integer | 0% | 61 | 140504, 71752, 436436, 216177, 109470 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 43 | afri1274, angl1239, birw1238, camt1236, dans1240 |
name |
Name | string | CCL | 0% | 43 | Afrikaans, Archaic Angloromani, Birwa, Camtho, Danster !Ui |
iso639_3 |
Iso639 3 | string | CCL | 14% | 37 | afr, rme, brl, cmt, gku |
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% | 10 | indo1319, indo1319, atla1278, spee1234, tuuu1241 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 34 | afri1273, brit1245, nort3233, zulu1249, nuuu1241 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 21 | ['BW', 'MZ', 'NA', 'ZA', 'ZM', 'ZW'], ['AU', 'GB', 'US',... |
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% | 14 | 3, 0, 0, 0, 2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 5% | 40 | -31.63272, 51.75, -22.17, -26.247, -28.11 |
longitude |
longitude | float | 5% | 41 | 20.46356, -2.56, 28.33, 27.942, 24.86 |
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 | 2.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 167.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .za |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 76.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 3.0 |
country_code |
Country code | string | SEL | 0% | 1 | ZAF |
country_name |
Country name | string | SEL | 0% | 1 | South Africa |
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 | 1.353 million (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 1.353 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 2 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 115 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 115.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 167 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | the South African Broadcasting Corporation (SABC)... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 6.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 76% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 2.15 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 2.15 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 3 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sf.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 | 13600.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 400.261 |
country_code |
Country code | string | SEL | 0% | 1 | ZAF |
country_name |
Country name | string | SEL | 0% | 1 | South Africa |
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 | upper-middle-income, largest southern African economy;... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $870.42 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 | 870.42 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $865.402 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 | 865.402 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $859.399 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 | 859.399 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2021 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2024_text |
Real gdp growth rate 2024 (text) | string | 0% | 1 | 0.6% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 0.6 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 0.7% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 0.7 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 1.9% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 1.9 |
real_gdp_growth_rate_note |
real_gdp_growth_rate_note | string | 0% | 1 | note: annual GDP % growth based on constant local currency |
real_gdp_per_capita_real_gdp_per_capita_2024_text |
Real gdp per capita 2024 (text) | string | 0% | 1 | $13,600 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $13,700 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 13700.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $13,800 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 13800.0 |
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 | $400.261 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 4.4% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 4.4 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 6.1% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 6.1 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 7% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 7.0 |
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 | 2.9% (2024 est.) |
| +113 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 | 86.5 |
country_code |
Country code | string | SEL | 0% | 1 | ZAF |
country_name |
Country name | string | SEL | 0% | 1 | South Africa |
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 | 86.5% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 87.1% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 87.1 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 93.4% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 93.4 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 65.989 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 65.989 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 194.978 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 194.978 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 12.629 billion kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 12.629 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 10.837 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 10.837 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 22.838 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 22.838 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 87.3% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 87.3 |
electricity_generation_sources_nuclear_text |
electricity_generation_sources_nuclear_text | string | 0% | 1 | 3.7% of total installed capacity (2023 est.) |
electricity_generation_sources_nuclear_numeric |
electricity_generation_sources_nuclear_numeric | float | 0% | 1 | 3.7 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 2.9% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 2.9 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 5.3% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 5.3 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 0.7% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 0.7 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.2% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.2 |
nuclear_energy_number_of_operational_nuclear_reactors_text |
nuclear_energy_number_of_operational_nuclear_reactors_text | string | 0% | 1 | 2 (2025) |
nuclear_energy_number_of_operational_nuclear_reactors_numeric |
nuclear_energy_number_of_operational_nuclear_reactors_numeric | float | 0% | 1 | 2.0 |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_text |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_text | string | 0% | 1 | 1.85GW (2025 est.) |
| +29 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 | 79.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 18.7 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 68.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.72 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 18.457 |
country_code |
Country code | string | SEL | 0% | 1 | ZAF |
country_name |
Country name | string | SEL | 0% | 1 | South Africa |
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 | limited freshwater resources due to lack of major rivers... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Antarctic-Environmental Protection, Antarctic-Marine... |
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 | mostly semiarid; subtropical along east coast; sunny... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 79.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 9.9% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 9.9 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.3% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.3 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 69.2% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 69.2 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 18.7% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 1.9% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 1.9 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 68.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.72% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 446.704 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 446.704 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 365.269 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 | 365.269 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 73.913 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 | 73.913 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 7.522 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 | 7.522 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 17 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 17.0 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 1,489.2 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 1489.2 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 754.2 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 754.2 |
| +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 | ZAF |
country_name |
Country name | string | SEL | 0% | 1 | South Africa |
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 | South African(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | South African |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Black African 80.9%, Colored 8.8%, White 7.8%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 80.9 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sf.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 1219090.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 1214470.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 4620.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 5244.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 2798.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 3450.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 0.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 79.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 18.7 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 16700.0 |
country_code |
Country code | string | SEL | 0% | 1 | ZAF |
country_name |
Country name | string | SEL | 0% | 1 | South Africa |
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, at the southern tip of the continent of Africa |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 29 00 S, 24 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 29.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 1,219,090 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 1,214,470 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 4,620 sq km |
area_note |
area_note | string | 0% | 1 | note: includes Prince Edward Islands (Marion Island and... |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly less than twice the size of Texas |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 5,244 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Botswana 1,969 km; Lesotho 1,106 km; Mozambique 496 km;... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 1969.0 |
coastline_text |
coastline_text | string | 0% | 1 | 2,798 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_contiguous_zone_text |
maritime_claims_contiguous_zone_text | string | 0% | 1 | 24 nm |
maritime_claims_contiguous_zone_numeric |
maritime_claims_contiguous_zone_numeric | float | 0% | 1 | 24.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0 |
maritime_claims_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | 200 nm or to edge of the continental margin |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | mostly semiarid; subtropical along east coast; sunny... |
terrain_text |
terrain_text | string | 0% | 1 | vast interior plateau rimmed by rugged hills and narrow... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Ntheledi (Mafadi) 3,450 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Atlantic/Indian Oceans 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 1,034 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 1034.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | gold, chromium, antimony, coal, iron ore, manganese,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 79.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 9.9% (2023 est.) |
| +20 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 | ZAF |
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 South Africa |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | South Africa |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Union of South Africa |
country_name_abbreviation_text |
country_name_abbreviation_text | string | 0% | 1 | RSA |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | self-descriptive name from the country's location on the... |
government_type_text |
government_type_text | string | 0% | 1 | parliamentary republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Pretoria (administrative capital); Cape Town... |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 25 42 S, 28 13 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 25.0 |
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 | Pretoria was named in honor of Boer statesman Andries... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 1855.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 9 provinces; Eastern Cape, Free State, Gauteng,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 9.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of Roman-Dutch civil law, English common... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest drafted 8 May 1996, approved by... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 8.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the National Assembly of Parliament; passage... |
constitution_amendment_process_numeric |
constitution_amendment_process_numeric | float | 0% | 1 | 75.0 |
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 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent must be a citizen of South Africa |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | yes, but requires prior permission of the government |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 5 year |
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 Matamela Cyril RAMAPHOSA (since 19 June 2024) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 19.0 |
| +87 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 | ZAF |
country_name |
Country name | string | SEL | 0% | 1 | South Africa |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Some of the earliest human remains in the fossil record... |
background_numeric |
background_numeric | float | 0% | 1 | 500.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sf.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZAF |
country_name |
Country name | string | SEL | 0% | 1 | South Africa |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | isiZulu or Zulu (official) 25.3%, isiXhosa or Xhosa... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 25.3 |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | Die Wereld Feite Boek, n’ onontbeerlike bron vir basiese... |
languages_note |
languages_note | string | 0% | 1 | note: data represent language spoken most often at home |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sf.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZAF |
country_name |
Country name | string | SEL | 0% | 1 | South Africa |
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 | 171,484 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 171484.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 7,385 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 7385.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 2 Watch List — the government did not demonstrate... |
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/sf.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZAF |
country_name |
Country name | string | SEL | 0% | 1 | South Africa |
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 | South African National Defense Force (SANDF): South... |
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 | 0.7% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 0.7 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 0.7% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 0.7 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 0.8% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 0.8 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 0.8% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 0.8 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1.1% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.1 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 65-70,000 active-duty National Defense... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 65.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the SANDF's inventory is a mix of domestically produced... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | 2025.0 |
military_service_age_and_obligation_text |
military_service_age_and_obligation_text | string | 0% | 1 | 18-22 (18-26 for college graduates) years of age 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 | approximately 2,000 Democratic Republic of the Congo... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 2000.0 |
military_note_text |
military_note_text | string | 0% | 1 | the South African National Defense Force's (SANDF)... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1994.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sf.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 61089926.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 29989969.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 31099957.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 27.2 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 65.3 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 7.5 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 53.0 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 41.1 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 11.8 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 30.7 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 1.06 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 17.21 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 6.56 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.07 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 68.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.72 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.02 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.96 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 118.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 19.7 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 71.9 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.23 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.1 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.79 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 91.2 |
country_code |
Country code | string | SEL | 0% | 1 | ZAF |
country_name |
Country name | string | SEL | 0% | 1 | South Africa |
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 | 61,089,926 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 29,989,969 |
population_female_text |
population_female_text | string | 0% | 1 | 31,099,957 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 27.2% (male 8,227,690/female 8,194,392) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 65.3% (male 19,524,873/female 19,947,839) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 7.5% (2024 est.) (male 1,911,825/female 2,636,028) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 53 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 41.1 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 11.8 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 8.4 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 8.4 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 30.7 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 30.1 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 30.1 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 30.6 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 30.6 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 1.06% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 17.21 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 6.56 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.07 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | the population is concentrated along the southern and... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 68.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.72% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 10.316 million Johannesburg (includes Ekurhuleni), 4.890... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 10.316 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.02 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.0 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.98 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.98 |
| +90 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 | ZAF |
country_name |
Country name | string | SEL | 0% | 1 | South Africa |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 86.0 |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 1.9 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 1.5 |
composition_ethnicity_primary_label_synth |
Black African | string | CCL | 0% | - | Black African |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Christian 86%, ancestral, tribal, animist, or other... |
religions_numeric |
religions_numeric | float | 0% | 1 | 86.0 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sf.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_ancestral_pct_synth |
ancestral | numeric | 0% | - | - |
composition_religion_tribal_pct_synth |
tribal | numeric | 0% | - | - |
composition_religion_animist_pct_synth |
animist | numeric | 0% | - | - |
composition_religion_other_traditional_african_religions_pct_synth |
other traditional African religions | numeric | 0% | - | 5.4 |
composition_religion_nothing_in_particular_pct_synth |
nothing in particular | numeric | 0% | - | 5.2 |
composition_ethnicity_black_african_pct_synth |
Black African | numeric | 0% | - | 80.9 |
composition_ethnicity_colored_pct_synth |
Colored | numeric | 0% | - | 8.8 |
composition_ethnicity_white_pct_synth |
White | numeric | 0% | - | 7.8 |
composition_ethnicity_indian_asian_pct_synth |
Indian/Asian | numeric | 0% | - | 2.6 |
composition_ethnicity_primary_share_pct_synth |
Black African | numeric | 0% | - | 80.9 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZAF |
country_name |
Country name | string | SEL | 0% | 1 | South Africa |
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 | South African National Space Agency (SANSA; established... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 2010.0 |
space_launch_site_s_text |
space_launch_site_s_text | string | 0% | 1 | Arniston launch facility (Western Cape) used to support... |
space_launch_site_s_numeric |
space_launch_site_s_numeric | float | 0% | 1 | 1980.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | key areas of emphasis for its national space 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 | 1976 - established a satellite remote sensing (RS)/radio... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 1976.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sf.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZAF |
country_name |
Country name | string | SEL | 0% | 1 | South Africa |
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 | Islamic State of Iraq and ash-Sham (ISIS) |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sf.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZAF |
country_name |
Country name | string | SEL | 0% | 1 | South Africa |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
illicit_drugs_usg_identification_text |
illicit_drugs_usg_identification_text | string | 0% | 1 | major precursor-chemical producer (2025) |
illicit_drugs_usg_identification_numeric |
illicit_drugs_usg_identification_numeric | float | 0% | 1 | 2025.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sf.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 | ZS |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 573.0 |
country_code |
Country code | string | SEL | 0% | 1 | ZAF |
country_name |
Country name | string | SEL | 0% | 1 | South Africa |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 573 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 49 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 49.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 30,400 km (2021) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 30400.0 |
railways_standard_gauge_text |
railways_standard_gauge_text | string | 0% | 1 | 80 km (2021) 1.435-m gauge (80 km electrified) |
railways_standard_gauge_numeric |
railways_standard_gauge_numeric | float | 0% | 1 | 80.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 19,756 km (2014) 1.065-m gauge (8,271 km electrified) |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 19756.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 110 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 110.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 3, general cargo 1, oil tanker 7, other 99 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 3.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 8 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 8.0 |
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 | 4 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 4.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 1 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 1.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 1 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 1.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 7 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 7.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Cape Town, Durban, Mossel Bay, Port Elizabeth, Richards... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sf.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZAF, ZAF, ZAF, ZAF, ZAF |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 14 | Zulu, Xhosa, Pedi (North Sotho), Afrikaners, Coloreds |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | SENIOR PARTNER, SENIOR PARTNER, SENIOR PARTNER, SENIOR... |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 10 | 0.23, 0.18, 0.09, 0.08, 0.08 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 14 | 56005100, 56005200, 56005310, 56001000, 56003000 |
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 | ZAF, ZAF, ZAF, ZAF, ZAF |
gns_language_code |
gns_language_code | string | CCL | 0% | 10 | eng, afr, nso, tsn, zul |
gns_language_name |
gns_language_name | string | CCL | 0% | 10 | English, Afrikaans, Sotho, Northern, Tswana, Zulu |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 6 | 25, 15, 4, 3, 2 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 6 | 43.1034, 25.8621, 6.8966, 5.1724, 3.4483 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 1 | , , , , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 1 | , , , , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | ZAF |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | South Africa |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 10 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9992 |
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 | 118248 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 100165 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 118247 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 1 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 62119 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 56346 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 16272 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 11182 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 14381 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 12266 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 2087 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 1890 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 22433 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 17956 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 301 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 214 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 26 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 23 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 629 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 288 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZAF, ZAF, ZAF, ZAF, ZAF |
society_id |
Society id | string | CCL | 0% | 10 | Ab10, Ab11, Ab12, Ab13, Ab14 |
society_name |
Society name | string | CCL | 0% | 10 | Pondo Xhosa, Xhosa Ngqika, Zulu, Tswana, Lovedu |
language_glottocode |
Language glottocode | string | CCL | 0% | 10 | mpon1252, xesi1238, zulu1248, tswa1253, lobe1242 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 8 | EA001:0; EA002:0; EA003:0; EA004:5; EA005:5, EA001:1;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 6 | EA006:1; EA007:8; EA008:7; EA009:5; EA010:8, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 10 | EA028:5; EA029:6; EA030:5; EA031:NA; EA032:3, EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 10 | EA033:3; EA034:1; EA035:NA, EA033:4; EA034:NA; EA035:5,... |
religion_importance |
Religion importance | string | CCL | 0% | 8 | EA034:1; EA112:1, EA034:NA; EA112:3, EA034:NA; EA112:4,... |
residence_pattern |
Residence pattern | string | CCL | 0% | 3 | EA011:1; EA012:8; EA013:9, EA011:1; EA012:8; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | South Africa, South Africa, South Africa, South Africa,... |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 9 | -31.0, -32.89, -29.0, -24.0, -24.0 |
longitude |
longitude | float | 0% | 7 | 30.0, 27.91, 31.0, 27.0, 31.0 |
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 | ZA, ZA, ZA, ZA, ZA |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | ZAF, ZAF, ZAF, ZAF, ZAF |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 9 | -6.24, -0.63, -3.64, -8.13, 15.25 |
grocery |
grocery | float | 0% | 9 | 10.98, 18.13, 15.52, 11.24, 20.15 |
parks |
parks | float | 0% | 9 | 28.92, -1.62, -12.55, 21.46, 34.01 |
transit |
transit | float | 0% | 9 | -12.92, 10.11, -12.16, -28.38, 30.23 |
workplaces |
workplaces | float | 0% | 9 | -8.83, -8.58, -14.47, -8.62, 12.4 |
residential |
residential | float | 0% | 9 | 12.03, 12.01, 15.96, 13.7, 13.69 |
region |
region | string | 0% | 9 | Eastern Cape, Free State, Gauteng, KwaZulu-Natal, Limpopo |
observation_count |
observation_count | integer | 0% | 1 | 974, 974, 974, 974, 974 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ZAF |
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 | ZAF |
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 | ZAF |
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 | ZAF |
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 | ZAF |
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 | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | 0% | 1 | - |
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | 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_financial_crimes |
oc_financial_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_human_smuggling |
oc_human_smuggling | numeric | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | 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_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | 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_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
| +5 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 | ZAF |
| 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.
| Language | Place names | Share | Script |
|---|---|---|---|
| English (eng) | 25 | 43.1% | — |
| Afrikaans (afr) | 15 | 25.9% | — |
| Sotho, Northern (nso) | 4 | 6.9% | — |
| Tswana (tsn) | 3 | 5.2% | — |
| Zulu (zul) | 2 | 3.4% | — |
| Xhosa (xho) | 2 | 3.4% | — |
| Swati (ssw) | 2 | 3.4% | — |
| Sotho, Southern (sot) | 2 | 3.4% | — |
| + 2 further languages (3 names, each under 0.05%) | |||
100,165 distinct features ·
10 languages ·
0 scripts ·
1 conventional English name
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.
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.