South Africa

ZAF South Africa Health ZAF-HDX-South_Africa___Health Indicators

8,645 rows · 1 table · 2024 OCHA HDX Humanitarian Data Exchange 0 1 2 3 ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

ZAF South Africa Health — 8,645 rows, 534 columns

Loading data…

Field details — 535 fields (type, nulls, unique, samples)

Extension Fields (535) — supplemental data preserved outside core SEL/CCL schema

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
+505 more extension fields — download the CSV/Parquet to see them all.

ZAF World Bank Open Data ZAF-WORLD_BANK Development Indicators

198 rows · 3 tables · 2024 World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 3 table(s)

ZAF World Bank - Development Indicators — 66 rows, 9 columns

Loading data…

Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	South Africa, South Africa, South Africa, South Africa,...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

ZAF World Bank - Health Indicators — 66 rows, 14 columns

Loading data…

Field details — 14 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	South Africa, South Africa, South Africa, South Africa,...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

ZAF World Bank - Migration Indicators — 66 rows, 9 columns

Loading data…

Field details — 9 fields (type, nulls, unique, samples)

Pending (9) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	ZAF, ZAF, ZAF, ZAF, ZAF
`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
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	1285707.0, 1006597.0, 997703.0, 1513855.0, 2274466.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	8	3.2, 2.3, 2.1, 3.1, 4.3
`net_migration`	net_migration	float	0%	66	18891.0, 57728.0, 69771.0, 72844.0, 76298.0
`remittances_received_usd`	remittances_received_usd	float	15%	55	15399993.9, 15378211.98, 16872322.08, 15878270.15, 26408124.92
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	15%	56	0.0725785170418013, 0.0656877606169354,...
`remittances_paid_usd`	remittances_paid_usd	float	15%	56	236599899.3, 283822326.7, 279514373.8, 423839386.0, 566159301.8

ZAF UNHCR Refugee Data Finder ZAF-UNHCR Migration

93 rows · 2 tables · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 2 table(s)

ZAF UNHCR - Hosted Populations — 33 rows, 24 columns

Loading data…

Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

ZAF UNHCR - Origin Populations — 60 rows, 24 columns

Loading data…

Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

ZAF LandScan Global (ORNL) ZAF-LANDSCAN Modeled Population

91 rows · 3 tables · 2024 LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

ZAF LandScan - Population Admin0 (admin_0) — 1 rows, 7 columns

Loading data…

Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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

1 Admin 1 — 1 table(s)

ZAF LandScan - Population Admin1 (admin_1) — 9 rows, 7 columns

Loading data…

Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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

Locality Locality — 1 table(s)

ZAF LandScan - Cities (locality) — 81 rows, 9 columns

Loading data…

Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`ghs_pop_2025`	ghs_pop_2025	integer	0%	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

ZAF GHS Urban Centre Database (EU JRC) ZAF-GHSL_UCDB Modeled Population

81 rows · 1 table · 2025 GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

Locality Locality — 1 table(s)

ZAF GHS-UCDB - Cities (locality) — 81 rows, 10 columns

Loading data…

Field details — 10 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`city_name`	Admin name	string	SEL	0%	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

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

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%	-	-

ZAF HDX COD — Population Statistics (OCHA/UNFPA) ZAF-COD_PS Census Derived Population

61 rows · 3 tables · 2020 HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 5 SEL ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

1 Admin 1 — 1 table(s)

ZAF COD PS - ZAF Codps (admin_1) — 9 rows, 59 columns

Loading data…

Field details — 59 fields (type, nulls, unique, samples)

Pending (59) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`pcode`	pcode	string	0%	9	ZA2, ZA4, ZA7, ZA5, ZA9
`region_name`	region_name	string	0%	9	EASTERN CAPE, FREE STATE, GAUTENG, KWAZULU-NATAL, LIMPOPO
`admin_level`	admin_level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	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_TL`	F_TL	integer	0%	9	3414336, 1357105, 7197885, 5420288, 2923505
`M_TL`	M_TL	integer	0%	9	3096480, 1306597, 7562282, 4998523, 2603752
`T_TL`	T_TL	integer	0%	9	6510816, 2663702, 14760167, 10418811, 5527257
`F_00_04`	F_00_04	integer	0%	9	328704, 124238, 615174, 527088, 304514
`F_05_09`	F_05_09	integer	0%	9	363640, 130152, 555231, 542249, 309333
`F_10_14`	F_10_14	integer	0%	9	350805, 121402, 509379, 550241, 304325
`F_15_19`	F_15_19	integer	0%	9	321800, 112897, 495559, 507141, 281151
`F_20_24`	F_20_24	integer	0%	9	254023, 111225, 667199, 477728, 233537
`F_25_29`	F_25_29	integer	0%	9	238107, 112655, 789609, 485293, 228073
`F_30_34`	F_30_34	integer	0%	9	252090, 120583, 829103, 473162, 237921
`F_35_39`	F_35_39	integer	0%	9	226520, 103363, 650479, 373875, 203613
`F_40_44`	F_40_44	integer	0%	9	188363, 83796, 477166, 281786, 153274
`F_45_49`	F_45_49	integer	0%	9	162289, 69514, 373317, 242661, 130753
`F_50_54`	F_50_54	integer	0%	9	158633, 61239, 322970, 212385, 108444
`F_55_59`	F_55_59	integer	0%	9	142540, 56730, 278134, 195892, 96554
`F_60_64`	F_60_64	integer	0%	9	129488, 49516, 225106, 185972, 88721
`F_65_69`	F_65_69	integer	0%	9	105427, 39113, 169214, 139550, 83068
`F_70_74`	F_70_74	integer	0%	9	88501, 27696, 113292, 103513, 64193
`F_75_79`	F_75_79	integer	0%	9	57343, 18967, 70895, 65299, 46796
`F_80PLUS`	F_80PLUS	integer	0%	9	46063, 14019, 56058, 56453, 49235
`M_00_04`	M_00_04	integer	0%	9	333703, 123796, 619680, 529708, 304602
`M_05_09`	M_05_09	integer	0%	9	366411, 129450, 553576, 543653, 307258
`M_10_14`	M_10_14	integer	0%	9	355880, 119851, 498099, 546980, 306240
`M_15_19`	M_15_19	integer	0%	9	326522, 111573, 477444, 497196, 287489
`M_20_24`	M_20_24	integer	0%	9	235333, 110215, 654378, 433525, 224332
+29 more pending fields — download the CSV/Parquet to see them all.

2 Admin 2 — 2 table(s)

ZAF COD PS - ZAF Codps — 61 rows, 59 columns

Loading data…

Field details — 59 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

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

Pending (54) — awaiting mapping

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.

ZAF COD PS - ZAF Codps (admin_2) — 52 rows, 59 columns

Loading data…

Field details — 59 fields (type, nulls, unique, samples)

Pending (59) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`pcode`	pcode	string	0%	52	ZA244, ZA212, ZA292, ZA210, ZA213
`region_name`	region_name	string	0%	52	ALFRED NZO, AMATHOLE, BUFFALO CITY, CACADU, CHRIS HANI
`admin_level`	admin_level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	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_TL`	F_TL	integer	0%	52	427495, 415124, 394283, 246794, 392369
`M_TL`	M_TL	integer	0%	52	360740, 374602, 366557, 244362, 359848
`T_TL`	T_TL	integer	0%	52	788235, 789726, 760840, 491156, 752217
`F_00_04`	F_00_04	integer	0%	52	48389, 39818, 33441, 21100, 38675
`F_05_09`	F_05_09	integer	0%	52	55031, 44529, 33528, 22594, 44436
`F_10_14`	F_10_14	integer	0%	52	56645, 43397, 29418, 20565, 41462
`F_15_19`	F_15_19	integer	0%	51	47099, 40334, 30829, 18313, 36441
`F_20_24`	F_20_24	integer	0%	52	30012, 27811, 32213, 18589, 25624
`F_25_29`	F_25_29	integer	0%	52	25702, 22856, 33888, 19771, 23170
`F_30_34`	F_30_34	integer	0%	52	26307, 24547, 36752, 21034, 24333
`F_35_39`	F_35_39	integer	0%	52	23289, 23908, 31704, 19614, 23337
`F_40_44`	F_40_44	integer	0%	52	18307, 21618, 26285, 16501, 20519
`F_45_49`	F_45_49	integer	0%	52	15993, 19958, 22158, 13696, 18770
`F_50_54`	F_50_54	integer	0%	52	15650, 20943, 21001, 12294, 19633
`F_55_59`	F_55_59	integer	0%	52	14457, 19480, 18004, 10964, 18326
`F_60_64`	F_60_64	integer	0%	52	14550, 18349, 13650, 10130, 17079
`F_65_69`	F_65_69	integer	0%	52	12311, 16192, 12288, 8378, 13588
`F_70_74`	F_70_74	integer	0%	52	9782, 14569, 9393, 6384, 12936
`F_75_79`	F_75_79	integer	0%	52	7728, 9042, 5476, 3737, 7636
`F_80PLUS`	F_80PLUS	integer	0%	52	6243, 7773, 4255, 3130, 6404
`M_00_04`	M_00_04	integer	0%	52	48961, 40387, 34132, 22102, 39037
`M_05_09`	M_05_09	integer	0%	52	55710, 45054, 34205, 22130, 45110
`M_10_14`	M_10_14	integer	0%	52	56723, 45977, 29275, 20116, 43228
`M_15_19`	M_15_19	integer	0%	51	47178, 43263, 29481, 18291, 39498
`M_20_24`	M_20_24	integer	0%	52	26437, 26723, 29654, 18134, 24920
+29 more pending fields — download the CSV/Parquet to see them all.

ZAF Glottolog Language Catalog ZAF-GLOTTOLOG Language

43 rows · 1 table · 2024 Glottolog Language Catalog 0 1 2 3 12 CCL 4 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

ZAF Glottolog - Languages — 43 rows, 16 columns

Loading data…

Field details — 16 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	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%	-	-
`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

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

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
`country_codes`	Country codes	string	0%	21	['BW', 'MZ', 'NA', 'ZA', 'ZM', 'ZW'], ['AU', 'GB', 'US',...
`classification`	classification	string	0%	1	[], [], [], [], []

ZAF D-PLACE ZAF-DPLACE Ethnographic Societies

20 rows · 2 tables · 2024 D-PLACE 0 1 2 3 2 SEL 15 CCL 55 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 2 table(s)

ZAF D-PLACE - Dplace Ea Societies — 10 rows, 23 columns

Loading data…

Field details — 23 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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%	5	EA017:4; EA018:4; EA019:1; EA020:1; EA021:9; EA022:9;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	9	EA006:1; EA007:8; EA008:7; EA009:5; EA023:8; EA025:15,...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	9	EA001:0; EA002:0; EA003:0; EA004:5; EA005:5; EA028:5;...
`political_complexity`	Political complexity	string	CCL	0%	4	EA032:3; EA033:3, EA032:3; EA033:4, EA032:3; EA033:4,...
`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%	4	EA010:8; EA011:1; EA012:8; EA013:9; EA014:11, EA010:8;...
`settlement_pattern`	settlement_pattern	string	CCL	0%	7	EA030:5; EA031:NA, EA030:5; EA031:NA, EA030:5; EA031:NA,...

Extension Fields (11) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	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
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024, 2024, 2024

ZAF D-PLACE - Dplace Ea Societies Decoded — 10 rows, 49 columns

Loading data…

Field details — 49 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	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	, , , ,

Extension Fields (44) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	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
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024, 2024, 2024
`jurisdictional_hierarchy_of_local_community`	jurisdictional_hierarchy_of_local_community	integer	10%	2	3, 3, 3, 3, 3
`jurisdictional_hierarchy_beyond_local_community`	jurisdictional_hierarchy_beyond_local_community	integer	10%	3	3, 4, 4, 3, 3
`religion_high_gods`	religion_high_gods	integer	50%	4	1, 4, 2, 1, 3
`trance_states`	trance_states	integer	30%	4	1, 3, 4, 3, 6
`settlement_patterns`	settlement_patterns	integer	10%	5	5, 5, 5, 8, 6
`mean_size_of_local_communities`	mean_size_of_local_communities	integer	50%	4	7, 5, 4, 4, 1
`marital_residence_first_years`	marital_residence_first_years	integer	0%	2	8, 8, 8, 9, 8
`residence_transfer_prevailing_pattern`	residence_transfer_prevailing_pattern	integer	0%	2	1, 1, 1, 1, 1
`marital_residence_prevailing_pattern`	marital_residence_prevailing_pattern	integer	0%	2	8, 8, 8, 8, 8
`residence_transfer_alternate`	residence_transfer_alternate	integer	0%	2	9, 9, 9, 9, 9
`marital_residence_alternate`	marital_residence_alternate	integer	0%	2	11, 11, 11, 11, 11
`largest_patrilineal_kin_group`	largest_patrilineal_kin_group	integer	0%	2	4, 4, 4, 1, 4
`largest_patrilineal_exogamous_group`	largest_patrilineal_exogamous_group	integer	0%	3	4, 4, 4, 1, 3
`largest_matrilineal_kin_group`	largest_matrilineal_kin_group	integer	0%	2	1, 1, 1, 1, 1
`largest_matrilineal_exogamous_group`	largest_matrilineal_exogamous_group	integer	0%	1	1, 1, 1, 1, 1
`cognatic_kin_groups`	cognatic_kin_groups	integer	0%	3	9, 9, 9, 6, 9
`secondary_cognatic_kin_group`	secondary_cognatic_kin_group	integer	0%	1	9, 9, 9, 9, 9
`kin_terms_for_cousins`	kin_terms_for_cousins	integer	0%	2	5, 5, 5, 5, 5
`descent_major_type`	descent_major_type	integer	0%	4	1, 1, 1, 4, 1
+14 more extension fields — download the CSV/Parquet to see them all.

ZAF OpenFactBook ZAF-OPENFACTBOOK Country Profile

17 rows · 17 tables · 2024 OpenFactBook 0 1 2 3 98 SEL 4 CCL 649 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 17 table(s)

ZAF OpenFactBook - Communications — 1 rows, 21 columns

Loading data…

Field details — 22 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	2.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	167.0
`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

Extension Fields (15) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1	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_country_code_text`	Internet country code text	string	0%	1	.za
`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

ZAF OpenFactBook - Economy — 1 rows, 143 columns

Loading data…

Field details — 148 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

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

Extension Fields (143) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	upper-middle-income, largest 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.

ZAF OpenFactBook - Energy — 1 rows, 63 columns

Loading data…

Field details — 63 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`electricity_access_electrification_total_population_numeric`	Electricity access percent	float	SEL	0%	1	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

Extension Fields (59) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`electricity_access_electrification_total_population_text`	electricity_access_electrification_total_population_text	string	0%	1	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.

ZAF OpenFactBook - Environment — 1 rows, 51 columns

Loading data…

Field details — 55 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	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

Extension Fields (47) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	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.

ZAF OpenFactBook - Ethnic Groups — 1 rows, 8 columns

Loading data…

Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	ZAF
`country_name`	Country name	string	SEL	0%	1	South Africa
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`nationality_noun_text`	nationality_noun_text	string	0%	1	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

ZAF OpenFactBook - Geography — 1 rows, 59 columns

Loading data…

Field details — 63 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`area_total_numeric`	Area sqkm	float	SEL	0%	1	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

Extension Fields (50) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Southern Africa, 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.

ZAF OpenFactBook - Government — 1 rows, 92 columns

Loading data…

Field details — 119 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	ZAF
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (117) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name_conventional_long_form_text`	country_name_conventional_long_form_text	string	0%	1	Republic of 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.

ZAF OpenFactBook - Introduction — 1 rows, 6 columns

Loading data…

Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	ZAF
`country_name`	Country name	string	SEL	0%	1	South Africa
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`background_text`	background_text	string	0%	1	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

ZAF OpenFactBook - Languages — 1 rows, 8 columns

Loading data…

Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	ZAF
`country_name`	Country name	string	SEL	0%	1	South Africa
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`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

ZAF OpenFactBook - Migration — 1 rows, 10 columns

Loading data…

Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	ZAF
`country_name`	Country name	string	SEL	0%	1	South Africa
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`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

ZAF OpenFactBook - Military And Security — 1 rows, 21 columns

Loading data…

Field details — 27 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	ZAF
`country_name`	Country name	string	SEL	0%	1	South Africa
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (24) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`military_and_security_forces_text`	military_and_security_forces_text	string	0%	1	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

ZAF OpenFactBook - People And Society — 1 rows, 136 columns

Loading data…

Field details — 148 fields (type, nulls, unique, samples)

Standards-Aligned Fields (28)

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

Extension Fields (120) — supplemental data preserved outside core SEL/CCL schema

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.

ZAF OpenFactBook - Religions — 1 rows, 6 columns

Loading data…

Field details — 21 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`religions_text`	religions_text	string	0%	1	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

Pending (10) — awaiting mapping

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

ZAF OpenFactBook - Space — 1 rows, 9 columns

Loading data…

Field details — 13 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	ZAF
`country_name`	Country name	string	SEL	0%	1	South Africa
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (10) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`space_agency_agencies_text`	space_agency_agencies_text	string	0%	1	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

ZAF OpenFactBook - Terrorism — 1 rows, 6 columns

Loading data…

Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	ZAF
`country_name`	Country name	string	SEL	0%	1	South Africa
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`terrorist_group_s_text`	terrorist_group_s_text	string	0%	1	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

ZAF OpenFactBook - Transnational Issues — 1 rows, 6 columns

Loading data…

Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	ZAF
`country_name`	Country name	string	SEL	0%	1	South Africa
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`illicit_drugs_usg_identification_text`	illicit_drugs_usg_identification_text	string	0%	1	major precursor-chemical producer (2025)
`illicit_drugs_usg_identification_numeric`	illicit_drugs_usg_identification_numeric	float	0%	1	2025.0
`source_section`	source_section	string	0%	1	Transnational Issues
`source_profile_path`	source_profile_path	string	0%	1	africa/sf.json

ZAF OpenFactBook - Transportation — 1 rows, 30 columns

Loading data…

Field details — 33 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`airports_numeric`	Airports count	float	SEL	0%	1	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

Extension Fields (29) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	0%	1	ZS
`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

ZAF NGA GEOnet Names Server (GNS) ZAF-NGA_GNS Language

11 rows · 2 tables · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 22 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 2 table(s)

ZAF NGA GNS - Language — 10 rows, 9 columns

Loading data…

Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	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

ZAF NGA GNS - Summary — 1 rows, 29 columns

Loading data…

Field details — 29 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	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

Extension Fields (22) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	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

ZAF Google Community Mobility (2020-2022) ZAF-GOOGLE-MOBILITY Mobility

9 rows · 1 table · 2022 Google 0 1 2 3 3 SEL 8 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

1 Admin 1 — 1 table(s)

ZAF Mobility by Region — 9 rows, 11 columns

Loading data…

Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

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

ZAF INFORM Risk Index (EC-JRC) ZAF-INFORM Risk Index

1 row · 1 table · 2026 INFORM Risk Index (EC-JRC) 0 1 2 3 ▶

1 rows × 293 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

ZAF Inform - Risk Index — 1 rows, 293 columns

Loading data…

Field details — 293 fields (type, nulls, unique, samples)

Pending (293) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	ZAF
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	878571.428571429
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.171428571428571
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	1.42456224713571
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	1213090.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.5
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.00585938640744668
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	0.9
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	0.235201016068459
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	5.0
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	3.4
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	4.6
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	5.6
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	3.4
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	4.2
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	2.9
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	3.1
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	1.3
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	8.0
`inform_cc_inf_com`	Communication	float	0%	1	1.6
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	1.1
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	1.0
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	1.9
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	2.2
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	4.0
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	2.0
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	7.6
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	2.5
`inform_institutional_capacity`	Institutional	float	0%	1	6.2
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	6.7
+263 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

South Africa

Build a download

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%)

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
OCHA HDX Humanitarian Data Exchange (UN Office for the Coordination of Humanitarian Affairs)	international_organization	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
Glottolog Language Catalog	academic	bulk_download
Google	commercial	bulk_download
INFORM Risk Index (EC-JRC)	international_organization	api
World Bank Open Data	international_organization	api
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
NGA GEOnet Names Server (GNS)	official_government	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