Eswatini

SWZ World Bank Open Data SWZ-WORLD_BANK Development Indicators

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

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0 Admin 0 — 3 table(s)

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

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SZ, SZ, SZ, SZ, SZ
`population_count`	Population count	float	SEL	2%	65	345337.0, 353264.0, 361365.0, 369759.0, 378656.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	46.389, 46.75, 47.145, 47.471, 47.922
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	101.572799813694, 121.795718753065, 127.095766410182,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	94%	4	55.3300018310547, 67.2399978637695, 81.6600036621094, 90.75
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	63	207.4, 203.5, 199.7, 195.7, 191.8
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	94%	4	66.0, 69.0, 63.0, 58.9

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	Eswatini, Eswatini, Eswatini, Eswatini, Eswatini
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

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

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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	SZ, SZ, SZ, SZ, SZ
`life_expectancy`	Life expectancy	float	SEL	3%	64	46.389, 46.75, 47.145, 47.471, 47.922
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	38%	27	23.9, 23.3, 22.9, 22.5, 22.3
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	63	207.4, 203.5, 199.7, 195.7, 191.8
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	38	580.0, 548.0, 521.0, 494.0, 505.0
`fertility_rate`	Fertility rate	float	SEL	3%	62	6.752, 6.774, 6.794, 6.804, 6.789
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	47.393, 47.353, 47.341, 47.298, 47.14
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	18.59, 18.306, 18.005, 17.739, 17.386
`physicians_per_1000`	Physicians per 1000	float	SEL	76%	16	0.104, 0.124, 0.053, 0.108, 0.151
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	96%	3	1.94478523731232, 3.37470006942749, 2.02
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	33%	23	30.0, 39.0, 43.0, 50.0, 61.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	4.60951757, 5.13895369, 5.52298307, 6.37864399, 6.81432486

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	Eswatini, Eswatini, Eswatini, Eswatini, Eswatini
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

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

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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	SWZ, SWZ, SWZ, SWZ, SWZ
`country_name`	country_name	string	0%	1	Eswatini, Eswatini, Eswatini, Eswatini, Eswatini
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	74991.0, 35157.0, 34084.0, 33392.0, 32637.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	7	8.6, 3.6, 3.3, 3.1, 2.9
`net_migration`	net_migration	float	0%	64	-2082.0, -2270.0, -2390.0, -2358.0, -2049.0
`remittances_received_usd`	remittances_received_usd	float	23%	51	3532128.334, 7978280.067, 9774999.619, 12074999.81, 14260000.23
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	23%	51	1.33630287527913, 2.76735550459054, 3.58649685388006,...
`remittances_paid_usd`	remittances_paid_usd	float	26%	49	1034999.967, 1264999.986, 8050000.191, 9503466.606, 8731493.95

SWZ UNHCR Refugee Data Finder SWZ-UNHCR Migration

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

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0 Admin 0 — 2 table(s)

SWZ UNHCR - Hosted Populations — 56 rows, 24 columns

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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%	-	-

SWZ UNHCR - Origin Populations — 32 rows, 24 columns

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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%	-	-

SWZ OpenFactBook SWZ-OPENFACTBOOK Country Profile

14 rows · 14 tables · 2024 OpenFactBook 0 1 2 3 90 SEL 3 CCL 551 ext ▶

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0 Admin 0 — 14 table(s)

SWZ OpenFactBook - Communications — 1 rows, 21 columns

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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	3.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	140.0
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	58.0
`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	SWZ
`country_name`	Country name	string	SEL	0%	1	Eswatini
`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	35,600 (2024 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	35600.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	3 (2024 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	1.74 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	1.74
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	140 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	1 state-owned TV station; satellite dishes can access...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	1.0
`internet_country_code_text`	Internet country code text	string	0%	1	.sz
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	58% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	34,000 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	34000.0
`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/wz.json

SWZ OpenFactBook - Economy — 1 rows, 149 columns

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Field details — 155 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`real_gdp_per_capita_real_gdp_per_capita_2024_numeric`	Real gdp per capita 2024 (numeric)	float	SEL	0%	1	10400.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	4.892
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	58.9
`country_code`	Country code	string	SEL	0%	1	SWZ
`country_name`	Country name	string	SEL	0%	1	Eswatini
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (149) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	landlocked southern African economy; South African trade...
`economic_overview_numeric`	economic_overview_numeric	float	0%	1	-19.0
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$12.885 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	12.885
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$12.553 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	12.553
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$12.135 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	12.135
`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	2.6% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	2.6
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	3.4% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	3.4
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	1.1% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	1.1
`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	$10,400 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$10,200 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	10200.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$10,000 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	10000.0
`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	$4.892 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2019_text`	Inflation rate consumer prices 2019 (text)	string	0%	1	2.6% (2019 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2019_numeric`	Inflation rate consumer prices 2019 (numeric)	float	0%	1	2.6
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2018_text`	Inflation rate consumer prices 2018 (text)	string	0%	1	4.8% (2018 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2018_numeric`	Inflation rate consumer prices 2018 (numeric)	float	0%	1	4.8
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2017_text`	Inflation rate consumer prices 2017 (text)	string	0%	1	6.2% (2017 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2017_numeric`	Inflation rate consumer prices 2017 (numeric)	float	0%	1	6.2
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+119 more extension fields — download the CSV/Parquet to see them all.

SWZ OpenFactBook - Energy — 1 rows, 41 columns

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Field details — 41 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	82.3
`country_code`	Country code	string	SEL	0%	1	SWZ
`country_name`	Country name	string	SEL	0%	1	Eswatini
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (37) — 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	82.3% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	86.1%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	86.1
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	81.6%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	81.6
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	285,000 kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	285000.0
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	1.308 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	1.308
`electricity_imports_text`	electricity_imports_text	string	0%	1	928.237 million kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	928.237
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	167.476 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	167.476
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	3.1% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	3.1
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	4.9% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	4.9
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	54.4% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	54.4
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	37.6% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	37.6
`coal_production_text`	coal_production_text	string	0%	1	253,000 metric tons (2023 est.)
`coal_production_numeric`	coal_production_numeric	float	0%	1	253000.0
`coal_consumption_text`	coal_consumption_text	string	0%	1	202,000 metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	202000.0
`coal_exports_text`	coal_exports_text	string	0%	1	4,000 metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	4000.0
`coal_imports_text`	coal_imports_text	string	0%	1	201,000 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	201000.0
`coal_proven_reserves_text`	coal_proven_reserves_text	string	0%	1	4.644 billion metric tons (2023 est.)
+7 more extension fields — download the CSV/Parquet to see them all.

SWZ OpenFactBook - Environment — 1 rows, 42 columns

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Field details — 45 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	69.5
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	25.4
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	24.8
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	2.42
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	218200.0
`country_code`	Country code	string	SEL	0%	1	SWZ
`country_name`	Country name	string	SEL	0%	1	Eswatini
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (37) — 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 supplies of potable water; overhunting depleting...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Biodiversity, Climate Change, Climate Change-Kyoto...
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	none of the selected agreements
`climate_text`	climate_text	string	0%	1	varies from tropical to near temperate
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	69.5% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 10.3% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	10.3
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	1.0
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 58.1% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	58.1
`land_use_forest_text`	land_use_forest_text	string	0%	1	25.4% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	5.2% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	5.2
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	24.8% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	2.42% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	1.326 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	1.326
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	410,000 metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric	float	0%	1	410000.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	916,000 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	916000.0
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	16.4 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	16.4
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	218,200 tons (2024 est.)
`waste_and_recycling_percent_of_municipal_solid_waste_recycled_text`	waste_and_recycling_percent_of_municipal_solid_waste_recycled_text	string	0%	1	17.3% (2022 est.)
`waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric`	waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric	float	0%	1	17.3
`total_water_withdrawal_municipal_text`	total_water_withdrawal_municipal_text	string	0%	1	41.3 million cubic meters (2022 est.)
`total_water_withdrawal_municipal_numeric`	total_water_withdrawal_municipal_numeric	float	0%	1	41.3
`total_water_withdrawal_industrial_text`	total_water_withdrawal_industrial_text	string	0%	1	20.7 million cubic meters (2022 est.)
+7 more extension fields — download the CSV/Parquet to see them all.

SWZ OpenFactBook - Ethnic Groups — 1 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`nationality_noun_text`	nationality_noun_text	string	0%	1	liSwati (singular), emaSwati (plural); note - former...
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Swati; note - former term, Swazi, still used among...
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	predominantly Swazi; smaller populations of other...
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	africa/wz.json

SWZ OpenFactBook - Geography — 1 rows, 47 columns

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Field details — 49 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	17364.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	17204.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	160.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	546.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	0.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	1862.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	21.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	69.5
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	25.4
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	500.0
`country_code`	Country code	string	SEL	0%	1	SWZ
`country_name`	Country name	string	SEL	0%	1	Eswatini
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (36) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Southern Africa, between Mozambique and South Africa
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	26 30 S, 31 30 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	26.0
`map_references_text`	map_references_text	string	0%	1	Africa
`area_total_text`	area_total_text	string	0%	1	17,364 sq km
`area_land_text`	area_land_text	string	0%	1	17,204 sq km
`area_water_text`	area_water_text	string	0%	1	160 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly smaller than New Jersey
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	546 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Mozambique 108 km; South Africa 438 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	108.0
`coastline_text`	coastline_text	string	0%	1	0 km (landlocked)
`maritime_claims_text`	maritime_claims_text	string	0%	1	none (landlocked)
`climate_text`	climate_text	string	0%	1	varies from tropical to near temperate
`terrain_text`	terrain_text	string	0%	1	mostly mountains and hills; some moderately sloping plains
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Emlembe 1,862 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Great Usutu River 21 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	305 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	305.0
`natural_resources_text`	natural_resources_text	string	0%	1	asbestos, coal, clay, cassiterite, hydropower, forests,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	69.5% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 10.3% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	10.3
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	1.0
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 58.1% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	58.1
`land_use_forest_text`	land_use_forest_text	string	0%	1	25.4% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	5.2% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	5.2
+6 more extension fields — download the CSV/Parquet to see them all.

SWZ OpenFactBook - Government — 1 rows, 85 columns

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Field details — 110 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	SWZ
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (108) — 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	Kingdom of Eswatini
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Eswatini
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Umbuso weSwatini
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	eSwatini
`country_name_former_text`	country_name_former_text	string	0%	1	Swaziland
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the country name derives from 19th century King MSWATI...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	19.0
`country_name_note`	country_name_note	string	0%	1	note: pronounced ay-swatini or eh-swatini
`government_type_text`	government_type_text	string	0%	1	absolute monarchy
`capital_name_text`	capital_name_text	string	0%	1	Mbabane (administrative capital); Lobamba (royal and...
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	26 19 S, 31 08 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	26.0
`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	the origin of the name is unclear; it may come from the...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	4 regions; Hhohho, Lubombo, Manzini, Shiselweni
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	4.0
`legal_system_text`	legal_system_text	string	0%	1	mixed system of civil, common, and customary law
`constitution_history_text`	constitution_history_text	string	0%	1	previous 1968, 1978; latest signed by the king 26 July...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	1968.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed at a joint sitting of both houses of...
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	accepts compulsory ICJ jurisdiction with reservations;...
`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	both parents must be citizens of Eswatini
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	no
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	5 years
`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
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
`executive_branch_chief_of_state_text`	executive_branch_chief_of_state_text	string	0%	1	King MSWATI III (since 25 April 1986)
+78 more extension fields — download the CSV/Parquet to see them all.

SWZ OpenFactBook - Introduction — 1 rows, 6 columns

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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	SWZ
`country_name`	Country name	string	SEL	0%	1	Eswatini
`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	A Swazi kingdom was founded in the mid-18th century and...
`background_numeric`	background_numeric	float	0%	1	-18.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	africa/wz.json

SWZ OpenFactBook - Languages — 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	SWZ
`country_name`	Country name	string	SEL	0%	1	Eswatini
`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
`languages_text`	languages_text	string	0%	1	English (official, used for government business),...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	africa/wz.json

SWZ OpenFactBook - Migration — 1 rows, 9 columns

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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	SWZ
`country_name`	Country name	string	SEL	0%	1	Eswatini
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	4,459 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	4459.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	56 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	56.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	africa/wz.json

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

Loading data…

Field details — 25 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`military_and_security_forces_text`	military_and_security_forces_text	string	0%	1	Umbutfo Eswatini Defense Force (UEDF): Army (includes a...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	1.4% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	1.4
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	1.4% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	1.4
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	1.6% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	1.6
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	1.7% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	1.7
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	1.8% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	1.8
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	estimated 3,000 active-duty Defense Force (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	3000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the UEDF has a small inventory of mostly older light...
`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	18-35 years of age for voluntary military service for...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	18.0
`military_note_text`	military_note_text	string	0%	1	the UEDF’s primary mission is external defense, which...
`military_note_numeric`	military_note_numeric	float	0%	1	1973.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	africa/wz.json

SWZ OpenFactBook - People And Society — 1 rows, 131 columns

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Field details — 142 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	1137268.0
`population_male_numeric`	Population male	float	SEL	0%	1	557204.0
`population_female_numeric`	Population female	float	SEL	0%	1	580064.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	31.6
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	64.3
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	4.0
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	52.2
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	44.7
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	7.5
`median_age_total_numeric`	Median age	float	SEL	0%	1	24.8
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.87
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	20.66
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	8.3
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-3.68
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	24.8
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	2.42
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.03
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	0.9
`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	38.0
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	60.7
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	2.64
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	1.3
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.56
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	90.8
`country_code`	Country code	string	SEL	0%	1	SWZ
`country_name`	Country name	string	SEL	0%	1	Eswatini
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (114) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	1,137,268 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	557,204
`population_female_text`	population_female_text	string	0%	1	580,064
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	31.6% (male 180,328/female 179,840)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	64.3% (male 341,298/female 390,884)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	4% (2024 est.) (male 16,974/female 28,765)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	52.2 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	44.7 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	7.5 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	13.3 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	13.3
`median_age_total_text`	median_age_total_text	string	0%	1	24.8 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	23.4 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	23.4
`median_age_female_text`	median_age_female_text	string	0%	1	25.8 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	25.8
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.87% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	20.66 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	8.3 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-3.68 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	because of its mountainous terrain, the population...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	24.8% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	2.42% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	68,000 MBABANE (capital) (2018)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	68000.0
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.03 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1 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	0.87 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.87
+84 more extension fields — download the CSV/Parquet to see them all.

SWZ OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 19 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SWZ
`country_name`	Country name	string	SEL	0%	1	Eswatini
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_christian_pct_synth`	Christian	numeric	CCL	0%	-	90.0
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	2.0
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	8.0

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 90% (Zionist - a blend of Christianity and...
`religions_numeric`	religions_numeric	float	0%	1	90.0
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	africa/wz.json

Pending (9) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_christian__zionist_a_blend_of_christianity_and_traditional_african_religions_pct_synth`	Zionist - a blend of Christianity and traditional African religions -	numeric	0%	-	40.0
`composition_religion_christian__roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	20.0
`composition_religion_christian__other_christian_includes_anglican_pct_synth`	other Christian - includes Anglican	numeric	0%	-	30.0
`composition_religion_christian__methodist_pct_synth`	Methodist	numeric	0%	-	-
`composition_religion_christian__church_of_jesus_christ_pct_synth`	Church of Jesus Christ	numeric	0%	-	-
`composition_religion_christian__jehovah_s_witness_pct_synth`	Jehovah's Witness	numeric	0%	-	-
`composition_ethnicity_predominantly_swazi_smaller_populations_of_other_african_ethnic_groups_pct_synth`	predominantly Swazi; smaller populations of other African ethnic groups	numeric	0%	-	-
`composition_ethnicity_including_the_zulu_pct_synth`	including the Zulu	numeric	0%	-	-
`composition_ethnicity_as_well_as_people_of_european_ancestry_pct_synth`	as well as people of European ancestry	numeric	0%	-	-

SWZ OpenFactBook - Transportation — 1 rows, 14 columns

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Field details — 15 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	16.0
`country_code`	Country code	string	SEL	0%	1	SWZ
`country_name`	Country name	string	SEL	0%	1	Eswatini
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (11) — 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	3DC
`civil_aircraft_registration_country_code_prefix_numeric`	civil_aircraft_registration_country_code_prefix_numeric	float	0%	1	3.0
`airports_text`	airports_text	string	0%	1	16 (2025)
`heliports_text`	heliports_text	string	0%	1	1 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	1.0
`railways_total_text`	railways_total_text	string	0%	1	301 km (2014)
`railways_total_numeric`	railways_total_numeric	float	0%	1	301.0
`railways_narrow_gauge_text`	railways_narrow_gauge_text	string	0%	1	301 km (2014) 1.067-m gauge
`railways_narrow_gauge_numeric`	railways_narrow_gauge_numeric	float	0%	1	301.0
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	africa/wz.json

SWZ USAID DHS Program SWZ-DHS Health Surveys

8 rows · 2 tables · 2006 USAID DHS Program 0 1 2 3 7 SEL 3 CCL 10 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 — 2 table(s)

SWZ DHS - Ethnicity Indicators — 4 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`women_who_are_literate`	Women who are literate	float	CCL	0%	4	92.6, 84.3, 93.5, 92.8
`men_who_are_literate`	Men who are literate	float	CCL	0%	4	91.6, 84.5, 90.7, 90.6

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Eswatini, Eswatini, Eswatini, Eswatini
`survey_year`	survey_year	integer	0%	1	2006, 2006, 2006, 2006
`region`	region	string	0%	4	Hhohho, Lubombo, Manzini, Shiselweni
`survey_id`	survey_id	string	0%	1	SZ2006DHS, SZ2006DHS, SZ2006DHS, SZ2006DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS

SWZ DHS - Health Indicators — 4 rows, 12 columns

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Field details — 12 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`contraception_modern_pct`	Contraception modern percent	float	SEL	0%	4	37.8, 36.6, 37.5, 32.2
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	4	70.0, 78.0, 82.0, 76.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	4	96.0, 114.0, 112.0, 100.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	0%	4	84.3, 76.1, 81.9, 83.7
`children_underweight`	Children underweight	float	CCL	0%	4	6.7, 3.7, 5.7, 5.2
`hiv_prevalence_pct`	Hiv prevalence percent	float	SEL	0%	4	28.9, 26.2, 24.9, 23.2

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Eswatini, Eswatini, Eswatini, Eswatini
`survey_year`	survey_year	integer	0%	1	2006, 2006, 2006, 2006
`region`	region	string	0%	4	Hhohho, Lubombo, Manzini, Shiselweni
`survey_id`	survey_id	string	0%	1	SZ2006DHS, SZ2006DHS, SZ2006DHS, SZ2006DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS

SWZ LandScan Global (ORNL) SWZ-LANDSCAN Modeled Population

6 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)

SWZ 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	SWZ
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Eswatini
`admin_code`	Admin code	string	SEL	0%	1	58888499B7609054081844
`area_sqkm`	Area sqkm	float	SEL	0%	1	17360.9751
`pop_2024`	Population count	integer	SEL	0%	1	1137716
`pop_density_2024`	Population density	float	SEL	0%	1	65.53

1 Admin 1 — 1 table(s)

SWZ LandScan - Population Admin1 (admin_1) — 4 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	SWZ, SWZ, SWZ, SWZ
`admin_level`	Admin level	string	SEL	0%	1	admin_1, admin_1, admin_1, admin_1
`admin_name`	Admin name	string	SEL	0%	4	Manzini, Hhohho, Lubombo, Shiselweni
`admin_code`	Admin code	string	SEL	0%	4	75366066B3567364273406, 75366066B25905390127614,...
`area_sqkm`	Area sqkm	float	SEL	0%	4	4091.2131, 3657.1974, 5834.8426, 3777.4164
`pop_2024`	Population count	integer	SEL	0%	4	366023, 339699, 220909, 211085
`pop_density_2024`	Population density	float	SEL	0%	4	89.47, 92.89, 37.86, 55.88

Locality Locality — 1 table(s)

SWZ LandScan - Cities (locality) — 1 rows, 9 columns

Loading data…

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SWZ
`admin_level`	Admin level	string	SEL	0%	1	locality
`admin_name`	Admin name	string	SEL	0%	1	Manzini
`admin_code`	Admin code	integer	SEL	0%	1	122
`area_sqkm`	Area sqkm	float	SEL	0%	1	33.8624
`pop_2024`	Population count	integer	SEL	0%	1	60960
`pop_density_2024`	Population density	float	SEL	0%	1	1800.23

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%	1	93406
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	1	0.653

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

5 rows · 2 tables · 2022 HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 10 SEL ▶

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)

SWZ COD PS - SWZ Codps (admin_0) — 1 rows, 59 columns

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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%	1	SZ
`region_name`	Region name	string	SEL	0%	1	Eswatini
`F_TL`	Female population	integer	SEL	0%	1	602261
`M_TL`	Male population	integer	SEL	0%	1	571755
`T_TL`	Total population	integer	SEL	0%	1	1174018

Pending (54) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2022
`year`	year	integer	0%	1	2022
`F_00_04`	Female population age 0-4	integer	0%	1	71759
`F_05_09`	Female population age 5-9	integer	0%	1	67857
`F_10_14`	Female population age 10-14	integer	0%	1	66252
`F_15_19`	Female population age 15-19	integer	0%	1	63068
`F_20_24`	Female population age 20-24	integer	0%	1	56116
`F_25_29`	Female population age 25-29	integer	0%	1	48973
`F_30_34`	Female population age 30-34	integer	0%	1	43272
`F_35_39`	Female population age 35-39	integer	0%	1	38062
`F_40_44`	Female population age 40-44	integer	0%	1	32281
`F_45_49`	Female population age 45-49	integer	0%	1	24278
`F_50_54`	Female population age 50-54	integer	0%	1	20229
`F_55_59`	Female population age 55-59	integer	0%	1	18115
`F_60_64`	Female population age 60-64	integer	0%	1	15024
`F_65_69`	Female population age 65-69	integer	0%	1	11845
`F_70_74`	Female population age 70-74	integer	0%	1	9339
`F_75_79`	Female population age 75-79	integer	0%	1	7061
`F_80Plus`	F_80Plus	integer	0%	1	8730
`M_00_04`	Male population age 0-4	integer	0%	1	73712
`M_05_09`	Male population age 5-9	integer	0%	1	69046
`M_10_14`	Male population age 10-14	integer	0%	1	68075
`M_15_19`	Male population age 15-19	integer	0%	1	65305
`M_20_24`	Male population age 20-24	integer	0%	1	57408
`M_25_29`	Male population age 25-29	integer	0%	1	46621
`M_30_34`	Male population age 30-34	integer	0%	1	39382
`M_35_39`	Male population age 35-39	integer	0%	1	35605
`M_40_44`	Male population age 40-44	integer	0%	1	30455
`M_45_49`	Male population age 45-49	integer	0%	1	22054
+24 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

SWZ COD PS - SWZ Codps (admin_1) — 4 rows, 59 columns

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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%	4	SZ1, SZ4, SZ2, SZ3
`region_name`	Region name	string	SEL	0%	4	Hhohho, Lubombo, Manzini, Shiselweni
`F_TL`	Female population	integer	SEL	0%	4	175540, 115515, 199531, 111675
`M_TL`	Male population	integer	SEL	0%	4	170793, 115179, 186721, 99062
`T_TL`	Total population	integer	SEL	0%	4	346337, 230695, 386251, 210735

Pending (54) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_1, admin_1, admin_1, admin_1
`year`	Reference year	integer	0%	1	2022, 2022, 2022, 2022
`year`	year	integer	0%	1	2022, 2022, 2022, 2022
`F_00_04`	Female population age 0-4	integer	0%	4	19948, 15793, 22230, 13788
`F_05_09`	Female population age 5-9	integer	0%	4	19249, 14432, 20637, 13539
`F_10_14`	Female population age 10-14	integer	0%	4	19354, 13184, 20162, 13552
`F_15_19`	Female population age 15-19	integer	0%	4	18247, 13059, 19882, 11880
`F_20_24`	Female population age 20-24	integer	0%	4	16611, 10510, 19437, 9558
`F_25_29`	Female population age 25-29	integer	0%	4	14879, 7476, 18689, 7929
`F_30_34`	Female population age 30-34	integer	0%	4	13429, 5813, 17068, 6962
`F_35_39`	Female population age 35-39	integer	0%	4	10806, 8182, 13438, 5636
`F_40_44`	Female population age 40-44	integer	0%	4	9466, 6583, 11155, 5077
`F_45_49`	Female population age 45-49	integer	0%	4	7489, 3852, 8579, 4358
`F_50_54`	Female population age 50-54	integer	0%	4	6063, 3821, 6520, 3825
`F_55_59`	Female population age 55-59	integer	0%	4	5298, 3364, 5777, 3676
`F_60_64`	Female population age 60-64	integer	0%	4	4370, 2603, 4949, 3102
`F_65_69`	Female population age 65-69	integer	0%	4	3491, 2166, 3560, 2628
`F_70_74`	Female population age 70-74	integer	0%	4	2780, 1455, 2812, 2292
`F_75_79`	Female population age 75-79	integer	0%	4	1788, 1549, 2044, 1680
`F_80Plus`	F_80Plus	integer	0%	4	2272, 1673, 2592, 2193
`M_00_04`	Male population age 0-4	integer	0%	4	20610, 17118, 22391, 13593
`M_05_09`	Male population age 5-9	integer	0%	4	19623, 15374, 20750, 13299
`M_10_14`	Male population age 10-14	integer	0%	4	19247, 15072, 20178, 13578
`M_15_19`	Male population age 15-19	integer	0%	4	19667, 12165, 20457, 13016
`M_20_24`	Male population age 20-24	integer	0%	4	17853, 10145, 19708, 9702
`M_25_29`	Male population age 25-29	integer	0%	4	14994, 7887, 16893, 6847
`M_30_34`	Male population age 30-34	integer	0%	4	12684, 6597, 14690, 5411
`M_35_39`	Male population age 35-39	integer	0%	4	10849, 7384, 12869, 4503
`M_40_44`	Male population age 40-44	integer	0%	4	9387, 6098, 10933, 4037
`M_45_49`	Male population age 45-49	integer	0%	4	6910, 4457, 7703, 2984
+24 more pending fields — download the CSV/Parquet to see them all.

SWZ Glottolog Language Catalog SWZ-GLOTTOLOG Language

4 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)

SWZ Glottolog - Languages — 4 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%	4	nyan1308, swat1243, tson1249, zulu1248
`name`	Name	string	CCL	0%	4	Nyanja, Swati, Tsonga, Zulu
`iso639_3`	Iso639 3	string	CCL	0%	4	nya, ssw, tso, zul
`level`	Level	string	CCL	0%	1	language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	0%	1	atla1278, atla1278, atla1278, atla1278
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	4	nyan1319, swat1244, tson1251, ngun1267
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	4	6, 3, 11, 5

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	4	-14.8047, -26.0, -23.5754, -28.9
`longitude`	longitude	float	0%	4	32.8108, 31.5, 31.8105, 30.2
`country_codes`	Country codes	string	0%	4	['MW', 'MZ', 'SZ', 'TZ', 'ZM', 'ZW'], ['LS', 'MZ', 'SZ',...
`classification`	classification	string	0%	1	[], [], [], []

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

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

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0 Admin 0 — 2 table(s)

SWZ NGA GNS - Language — 1 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	SWZ
`gns_language_code`	gns_language_code	string	CCL	0%	1	eng
`gns_language_name`	gns_language_name	string	CCL	0%	1	English
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	1	354
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	1	100.0
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	1
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	1
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0

SWZ NGA GNS - Summary — 1 rows, 29 columns

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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	SWZ
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Eswatini
`gns_language_count`	gns_language_count	integer	CCL	0%	1	1
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	100.0
`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	2364
`gns_feature_count`	gns_feature_count	integer	0%	1	1924
`gns_endonym_count`	gns_endonym_count	integer	0%	1	2364
`gns_exonym_count`	gns_exonym_count	integer	0%	1	0
`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_hypsographic`	gns_name_count_hypsographic	integer	0%	1	594
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	446
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	737
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	688
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	640
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	428
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	23
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	5
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	299
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	286
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	1
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	1
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	62
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	62
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	8
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	8

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

1 row · 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)

SWZ GHS-UCDB - Cities (locality) — 1 rows, 10 columns

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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%	1	Manzini
`country_code`	Country code	string	SEL	0%	1	SWZ
`population`	Population count	integer	SEL	0%	1	93406

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	1	122
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Swaziland
`population_year`	population_year	integer	0%	1	2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

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

SWZ 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	SWZ
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	60114.2857142857
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.114285714285714
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	4.86811323360951
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	17200.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.075
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.147910391669581
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	5.6
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	0.686290860176086
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	4.7
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	4.0
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	4.9
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	7.0
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	2.8
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	2.5
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	2.2
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	3.6
`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	8.6
`inform_cc_inf_com`	Communication	float	0%	1	2.5
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	3.1
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	1.1
`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	3.7
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	4.6
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	3.9
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	5.9
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	3.9
`inform_institutional_capacity`	Institutional	float	0%	1	5.3
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	3.6
+263 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
World Bank Open Data	international_organization	api
USAID DHS Program (US Agency for International Development · Demographic and Health Surveys)	international_organization	api
NGA GEOnet Names Server (GNS)	official_government	bulk_download
INFORM Risk Index (EC-JRC)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
OpenFactBook	community_compilation	bulk_download