Macao

Datasets (4)

SEL — DGIWG Statistical Extent Location SEL+ — Platform extension (not in DGIWG core spec) CCL — DGIWG Cultural Context Location Extension — Preserved in extension tables (not in core SEL/CCL schema) Pending — Awaiting mapping

MAC UNHCR Refugee Data Finder MAC-UNHCR Migration

150 rows · 2 table(s) UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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0 Admin 0 — 2 table(s)

MAC UNHCR - Hosted Populations — 75 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%	-	-

MAC UNHCR - Origin Populations — 75 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%	-	-

MAC World Bank Open Data MAC-WORLD_BANK Development Indicators

132 rows · 2 table(s) World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 2 table(s)

MAC 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	MO, MO, MO, MO, MO
`population_count`	Population count	float	SEL	2%	65	173315.0, 173323.0, 177810.0, 182135.0, 225655.0
`life_expectancy`	Life expectancy	float	SEL	3%	62	63.780756097561, 64.311, 64.9175365853659,...
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	35%	43	4486.541208636, 4207.25300817099, 4611.49497355573,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	92%	5	90.379997253418, 91.3000030517578, 93.5,...
`under5_mortality_per_1000`	Under5 mortality per 1000	string	SEL	100%	-	-
`poverty_headcount_pct`	Poverty headcount percent	string	SEL	100%	-	-

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	Macao SAR, China, Macao SAR, China, Macao SAR, China,...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

MAC 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	MO, MO, MO, MO, MO
`life_expectancy`	Life expectancy	float	SEL	3%	62	63.780756097561, 64.311, 64.9175365853659,...
`infant_mortality_per_1000`	Infant mortality per 1000	string	SEL	100%	-	-
`under5_mortality_per_1000`	Under5 mortality per 1000	string	SEL	100%	-	-
`maternal_mortality_per_100k`	Maternal mortality per 100k	string	SEL	100%	-	-
`fertility_rate`	Fertility rate	float	SEL	3%	62	4.957, 4.674, 4.393, 4.227, 3.943
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	58	33.335, 29.62, 26.914, 25.198, 18.9
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	38	9.455, 9.095, 8.699, 8.354, 6.697
`physicians_per_1000`	Physicians per 1000	float	SEL	91%	6	0.41, 0.634, 1.067, 1.122, 2.428
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	97%	2	10.1213865280151, 5.29530000686646
`vaccination_rate_pct`	Vaccination rate percent	string	SEL	100%	-	-
`health_expenditure_pct_gdp`	Health expenditure percent gdp	string	SEL	100%	-	-

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	Macao SAR, China, Macao SAR, China, Macao SAR, China,...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

MAC OpenFactBook MAC-OPENFACTBOOK Country Profile

14 rows · 14 table(s) OpenFactBook 0 1 2 3 88 SEL 4 CCL 391 ext ▶

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0 Admin 0 — 14 table(s)

MAC OpenFactBook - Communications — 1 rows, 22 columns

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

Standards-Aligned Fields (8)

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	12.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	175.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.mo
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	89.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	30.0
`country_code`	Country code	string	SEL	0%	1	MAC
`country_name`	Country name	string	SEL	0%	1	Macau
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (14) — 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	87,000 (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	87000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	12 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	1.37 million (2023 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	1.37
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	175 (2022 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	local government dominates broadcast media; 2 TV...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	2.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	89% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	212,000 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	212000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	30 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/mc.json

MAC OpenFactBook - Economy — 1 rows, 139 columns

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Field details — 139 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	112800.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	50.183
`country_code`	Country code	string	SEL	0%	1	MAC
`country_name`	Country name	string	SEL	0%	1	Macau
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (134) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	high-income, Chinese special administrative region...
`economic_overview_numeric`	economic_overview_numeric	float	0%	1	2015.0
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$77.524 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	77.524
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$71.248 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	71.248
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$40.699 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	40.699
`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	8.8% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	8.8
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	75.1% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	75.1
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	-19.6% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	-19.6
`real_gdp_growth_rate_note`	real_gdp_growth_rate_note	string	0%	1	note: annual GDP % growth based on constant local currency
`real_gdp_per_capita_real_gdp_per_capita_2024_text`	Real gdp per capita 2024 (text)	string	0%	1	$112,800 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$105,000 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	105000.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$60,100 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	60100.0
`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	$50.183 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	0.5% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	0.5
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	1% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	1.0
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text`	Inflation rate consumer prices 2021 (text)	string	0%	1	0% (2021 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric`	Inflation rate consumer prices 2021 (numeric)	float	0%	1	0.0
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+104 more extension fields — download the CSV/Parquet to see them all.

MAC OpenFactBook - Energy — 1 rows, 31 columns

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Field details — 31 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	100.0
`country_code`	Country code	string	SEL	0%	1	MAC
`country_name`	Country name	string	SEL	0%	1	Macau
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (27) — 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	100% (2022 est.)
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	427,000 kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	427000.0
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	5.659 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	5.659
`electricity_imports_text`	electricity_imports_text	string	0%	1	5.327 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	5.327
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	161.125 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	161.125
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	58.5% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	58.5
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	41.5% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	41.5
`coal_exports_text`	coal_exports_text	string	0%	1	600 metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	600.0
`coal_imports_text`	coal_imports_text	string	0%	1	7 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	7.0
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	11,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	11000.0
`natural_gas_consumption_text`	natural_gas_consumption_text	string	0%	1	121.747 million cubic meters (2023 est.)
`natural_gas_consumption_numeric`	natural_gas_consumption_numeric	float	0%	1	121.747
`natural_gas_imports_text`	natural_gas_imports_text	string	0%	1	121.716 million cubic meters (2023 est.)
`natural_gas_imports_numeric`	natural_gas_imports_numeric	float	0%	1	121.716
`energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text`	energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text	string	0%	1	64.641 million Btu/person (2023 est.)
`energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric`	energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric	float	0%	1	64.641
`source_section`	source_section	string	0%	1	Energy
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/mc.json

MAC OpenFactBook - Environment — 1 rows, 27 columns

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Field details — 27 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	0.0
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	0.0
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	100.0
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.46
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	377900.0
`country_code`	Country code	string	SEL	0%	1	MAC
`country_name`	Country name	string	SEL	0%	1	Macau
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (19) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	air pollution; coastal water pollution; solid-waste...
`climate_text`	climate_text	string	0%	1	subtropical; marine with cool winters, warm summers
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	0% (2022 est.)
`land_use_forest_text`	land_use_forest_text	string	0%	1	0% (2022 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	100% (2022 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	100.0
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	100% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.46% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	1.595 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	1.595
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	-1,239 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	-1239.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	1.358 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	1.358
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	238,000 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	238000.0
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	377,900 tons (2024 est.)
`source_section`	source_section	string	0%	1	Environment
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/mc.json

MAC OpenFactBook - Ethnic Groups — 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	MAC
`country_name`	Country name	string	SEL	0%	1	Macau
`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	Chinese
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Chinese
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Chinese 89.4%, Chinese and Portuguese 1%, Portuguese...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	89.4
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/mc.json

MAC OpenFactBook - Geography — 1 rows, 42 columns

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Field details — 42 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	28.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	28.2
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	0.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	3.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	41.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	172.0
`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	0.0
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	0.0
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	0.0
`country_code`	Country code	string	SEL	0%	1	MAC
`country_name`	Country name	string	SEL	0%	1	Macau
`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
`location_text`	location_text	string	0%	1	Eastern Asia, bordering the South China Sea and China
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	22 10 N, 113 33 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	22.0
`map_references_text`	map_references_text	string	0%	1	Southeast Asia
`area_total_text`	area_total_text	string	0%	1	28 sq km
`area_land_text`	area_land_text	string	0%	1	28.2 sq km
`area_water_text`	area_water_text	string	0%	1	0 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	less than one-sixth the size of Washington, D.C.
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	3 km
`land_boundaries_regional_borders_text`	land_boundaries_regional_borders_text	string	0%	1	China 3 km
`land_boundaries_regional_borders_numeric`	land_boundaries_regional_borders_numeric	float	0%	1	3.0
`coastline_text`	coastline_text	string	0%	1	41 km
`maritime_claims_text`	maritime_claims_text	string	0%	1	not specified
`climate_text`	climate_text	string	0%	1	subtropical; marine with cool winters, warm summers
`terrain_text`	terrain_text	string	0%	1	generally flat
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Alto Coloane 172 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	South China Sea 0 m
`natural_resources_text`	natural_resources_text	string	0%	1	NEGL
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	0% (2022 est.)
`land_use_forest_text`	land_use_forest_text	string	0%	1	0% (2022 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	100% (2022 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	100.0
`irrigated_land_text`	irrigated_land_text	string	0%	1	0 sq km (2012)
`population_distribution_text`	population_distribution_text	string	0%	1	population fairly equally distributed
`natural_hazards_text`	natural_hazards_text	string	0%	1	typhoons
`geography_note_text`	geography_note_text	string	0%	1	primarily urban; an area of land reclaimed from the sea...
`geography_note_numeric`	geography_note_numeric	float	0%	1	5.2
`source_section`	source_section	string	0%	1	Geography
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/mc.json

MAC OpenFactBook - Government — 1 rows, 63 columns

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Field details — 63 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	MAC
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (61) — 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	Macau Special Administrative Region
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Macau
`country_name_official_long_form_text`	country_name_official_long_form_text	string	0%	1	Aomen Tebie Xingzhengqu (Chinese)/ Regiao Administrativa...
`country_name_official_short_form_text`	country_name_official_short_form_text	string	0%	1	Aomen (Chinese)/ Macau (Portuguese)
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	name derived from the Chinese ama-gao, or “Bay of Ama,”...
`government_type_text`	government_type_text	string	0%	1	executive-led limited democracy; a special...
`dependency_status_text`	dependency_status_text	string	0%	1	special administrative region of the People's Republic of China
`legal_system_text`	legal_system_text	string	0%	1	civil law system based on the Portuguese model
`constitution_history_text`	constitution_history_text	string	0%	1	previous 1976 (Organic Statute of Macau, under...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	1976.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the Standing Committee of the National...
`citizenship_text`	citizenship_text	string	0%	1	see China
`suffrage_text`	suffrage_text	string	0%	1	18 years of age in direct elections for some legislative...
`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 of China XI Jinping (since 14 March 2013)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	14.0
`executive_branch_head_of_government_text`	executive_branch_head_of_government_text	string	0%	1	Chief Executive Sam Hou FAI (since 20 December 2024)
`executive_branch_head_of_government_numeric`	executive_branch_head_of_government_numeric	float	0%	1	20.0
`executive_branch_cabinet_text`	executive_branch_cabinet_text	string	0%	1	Executive Council appointed by the chief executive
`executive_branch_election_appointment_process_text`	executive_branch_election_appointment_process_text	string	0%	1	president indirectly elected by National People's...
`executive_branch_election_appointment_process_numeric`	executive_branch_election_appointment_process_numeric	float	0%	1	5.0
`executive_branch_most_recent_election_date_text`	executive_branch_most_recent_election_date_text	string	0%	1	president: 10 March 2023chief executive: 13 October 2024
`executive_branch_most_recent_election_date_numeric`	executive_branch_most_recent_election_date_numeric	float	0%	1	10.0
`executive_branch_election_results_text`	executive_branch_election_results_text	string	0%	1	2024: Sam Hou FAI (unopposed; received 394 out of 400...
`executive_branch_election_results_numeric`	executive_branch_election_results_numeric	float	0%	1	2024.0
`executive_branch_expected_date_of_next_election_text`	executive_branch_expected_date_of_next_election_text	string	0%	1	president: March 2028chief executive: 2029
`executive_branch_expected_date_of_next_election_numeric`	executive_branch_expected_date_of_next_election_numeric	float	0%	1	2028.0
`legislative_branch_legislature_name_text`	legislative_branch_legislature_name_text	string	0%	1	Legislative Assembly (Regiao Administrativa Especial de Macau)
`legislative_branch_legislative_structure_text`	legislative_branch_legislative_structure_text	string	0%	1	unicameral
`legislative_branch_number_of_seats_text`	legislative_branch_number_of_seats_text	string	0%	1	33 (14 directly elected, 12 indirectly elected, 7 appointed)
+31 more extension fields — download the CSV/Parquet to see them all.

MAC OpenFactBook - Introduction — 1 rows, 7 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	MAC
`country_name`	Country name	string	SEL	0%	1	Macau
`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	Portuguese ships began arriving in 1513. In the 1550s,...
`background_numeric`	background_numeric	float	0%	1	1513.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/mc.json

MAC OpenFactBook - Languages — 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	MAC
`country_name`	Country name	string	SEL	0%	1	Macau
`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	Cantonese 81%, Mandarin 4.7%, other Chinese dialects...
`languages_languages_numeric`	Languages (numeric)	float	0%	1	81.0
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	世界概况, 必須擁有的基本資料参考书 (Cantonese) The World Factbook, the...
`languages_note`	languages_note	string	0%	1	note: Chinese and Portuguese are official languages;...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/mc.json

MAC OpenFactBook - Migration — 1 rows, 7 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	MAC
`country_name`	Country name	string	SEL	0%	1	Macau
`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
`trafficking_in_persons_tier_rating_text`	trafficking_in_persons_tier_rating_text	string	0%	1	Tier 3 — Macau does not fully meet the minimum standards...
`trafficking_in_persons_tier_rating_numeric`	trafficking_in_persons_tier_rating_numeric	float	0%	1	3.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/mc.json

MAC OpenFactBook - Military And Security — 1 rows, 7 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	MAC
`country_name`	Country name	string	SEL	0%	1	Macau
`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
`military_and_security_forces_text`	military_and_security_forces_text	string	0%	1	Macau Public Security Police Force
`military_note_text`	military_note_text	string	0%	1	defense is the responsibility of China; the Chinese...
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/mc.json

MAC OpenFactBook - People And Society — 1 rows, 82 columns

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Field details — 82 fields (type, nulls, unique, samples)

Standards-Aligned Fields (25)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	644426.0
`population_male_numeric`	Population male	float	SEL	0%	1	304988.0
`population_female_numeric`	Population female	float	SEL	0%	1	339438.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	14.4
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	69.9
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	15.7
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	43.0
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	20.5
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	22.5
`median_age_total_numeric`	Median age	float	SEL	0%	1	43.0
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.64
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	8.31
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	5.02
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	3.08
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	100.0
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.46
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.05
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	0.9
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	4.3
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	85.3
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.25
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.61
`country_code`	Country code	string	SEL	0%	1	MAC
`country_name`	Country name	string	SEL	0%	1	Macau
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (57) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	644,426 (2024 est.)
`population_male_text`	population_male_text	string	0%	1	304,988
`population_female_text`	population_female_text	string	0%	1	339,438
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	14.4% (male 47,346/female 45,216)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	69.9% (male 210,059/female 240,577)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	15.7% (2024 est.) (male 47,583/female 53,645)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	43 (2024 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	20.5 (2024 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	22.5 (2024 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	4.5 (2024 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	4.5
`median_age_total_text`	median_age_total_text	string	0%	1	43 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	41.5 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	41.5
`median_age_female_text`	median_age_female_text	string	0%	1	43.1 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	43.1
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.64% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	8.31 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	5.02 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	3.08 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	population fairly equally distributed
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	100% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.46% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	682,000 Macau (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	682000.0
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.05
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.87 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.87
+27 more extension fields — download the CSV/Parquet to see them all.

MAC OpenFactBook - Religions — 1 rows, 20 columns

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Field details — 20 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	MAC
`country_name`	Country name	string	SEL	0%	1	Macau
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_buddhist_pct_synth`	Buddhist	numeric	CCL	0%	-	17.3
`composition_religion_christian_pct_synth`	Christian	numeric	CCL	0%	-	7.2
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	1.2
`composition_ethnicity_primary_label_synth`	Chinese	string	CCL	0%	-	Chinese

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	folk religion 58.9%, Buddhist 17.3%, Christian 7.2%,...
`religions_numeric`	religions_numeric	float	0%	1	58.9
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/mc.json

Pending (9) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_folk_religion_pct_synth`	folk religion	numeric	0%	-	58.9
`composition_religion_none_pct_synth`	none	numeric	0%	-	15.4
`composition_ethnicity_chinese_pct_synth`	Chinese	numeric	0%	-	89.4
`composition_ethnicity_chinese_and_portuguese_pct_synth`	Chinese and Portuguese	numeric	0%	-	1.0
`composition_ethnicity_portuguese_pct_synth`	Portuguese	numeric	0%	-	0.8
`composition_ethnicity_chinese_and_non_portuguese_pct_synth`	Chinese and non-Portuguese	numeric	0%	-	0.2
`composition_ethnicity_portuguese_and_others_pct_synth`	Portuguese and others	numeric	0%	-	0.2
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	8.5
`composition_ethnicity_primary_share_pct_synth`	Chinese	numeric	0%	-	89.4

MAC OpenFactBook - Transportation — 1 rows, 27 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	SEL+	0%	1	B-M
`airports_numeric`	Airports count	float	SEL	0%	1	1.0
`country_code`	Country code	string	SEL	0%	1	MAC
`country_name`	Country name	string	SEL	0%	1	Macau
`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
`airports_text`	airports_text	string	0%	1	1 (2025)
`heliports_text`	heliports_text	string	0%	1	4 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	4.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	5 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	5.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	other 5
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	5.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	1 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	1.0
`ports_large_text`	ports_large_text	float	0%	1	0
`ports_large_numeric`	ports_large_numeric	float	0%	1	0.0
`ports_medium_text`	ports_medium_text	float	0%	1	1
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	1.0
`ports_small_text`	ports_small_text	float	0%	1	0
`ports_small_numeric`	ports_small_numeric	float	0%	1	0.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	0
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	0.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	1
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	1.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Macau
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/mc.json

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

4 rows · 2 table(s) NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 20 ext ▶

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0 Admin 0 — 2 table(s)

MAC Nga Gns - Language — 3 rows, 9 columns

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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	MAC, MAC, MAC
`gns_language_code`	gns_language_code	string	CCL	0%	3	zho, por, eng
`gns_language_name`	gns_language_name	string	CCL	0%	3	Chinese, Portuguese, English
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	3	173, 85, 11
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	3	64.3123, 31.5985, 4.0892
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	2	84, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	2	Hans, ,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	2	Han (Simplified variant), ,
`gns_script_count`	gns_script_count	integer	CCL	0%	2	1, 0, 0

MAC Nga Gns - Summary — 1 rows, 27 columns

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Field details — 27 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	MAC
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Macau
`gns_language_count`	gns_language_count	integer	CCL	0%	1	3
`gns_script_count`	gns_script_count	integer	CCL	0%	1	1
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.1354
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	85

Extension Fields (20) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	347
`gns_feature_count`	gns_feature_count	integer	0%	1	84
`gns_endonym_count`	gns_endonym_count	integer	0%	1	344
`gns_exonym_count`	gns_exonym_count	integer	0%	1	3
`gns_source_build_date`	gns_source_build_date	string	0%	1	Wed, 05 Aug 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-08-05
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	33
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	7
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	94
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	20
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	43
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	14
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	88
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	18
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	73
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	21
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	13
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	3
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	3
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	1

Language	Place names	Share	Script
Chinese (zho)	173	64.3%	Han (Simplified variant)
Portuguese (por)	85	31.6%	—
English (eng)	11	4.1%	—

Source	Type	Access
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
OpenFactBook	community_compilation	bulk_download

HERA · Human Entity Reference Atlas by Masego Inc

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