Myanmar

MMR World Bank Open Data MMR-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)

MMR 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	MM, MM, MM, MM, MM
`population_count`	Population count	float	SEL	2%	65	21730250.0, 22210581.0, 22704719.0, 23213408.0, 23737315.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	44.086, 44.603, 45.264, 45.951, 46.653
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	25.0847757223623, 27.2654541223873, 27.9470039695431,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	89%	7	78.5699996948242, 89.9400024414062, 90.3600006103516,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	15%	56	180.2, 176.9, 173.5, 170.3, 166.8
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	94%	4	48.2, 42.2, 32.1, 24.8

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

MMR 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	MM, MM, MM, MM, MM
`life_expectancy`	Life expectancy	float	SEL	3%	64	44.086, 44.603, 45.264, 45.951, 46.653
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	47%	35	48.5, 47.7, 46.9, 45.9, 44.9
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	15%	56	180.2, 176.9, 173.5, 170.3, 166.8
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	39	674.0, 652.0, 631.0, 616.0, 603.0
`fertility_rate`	Fertility rate	float	SEL	3%	63	5.901, 5.9, 5.904, 5.905, 5.907
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	63	41.919, 41.416, 40.964, 40.509, 40.09
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	20.518, 20.038, 19.474, 18.903, 18.338
`physicians_per_1000`	Physicians per 1000	float	SEL	65%	23	0.065, 0.085, 0.114, 0.203, 0.27
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	65%	19	0.663009285926819, 0.85809999704361, 0.857100009918213,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	26	4.0, 5.0, 9.0, 11.0, 12.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	2.00781965, 2.16208982, 2.59446764, 2.3959713, 2.33253765

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

MMR 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	MMR, MMR, MMR, MMR, MMR
`country_name`	country_name	string	0%	1	Myanmar, Myanmar, Myanmar, Myanmar, Myanmar
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	133545.0, 113663.0, 98011.0, 83025.0, 76414.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	3	0.3, 0.3, 0.2, 0.2, 0.2
`net_migration`	net_migration	float	0%	66	8807.0, 11972.0, 13546.0, 14350.0, 15600.0
`remittances_received_usd`	remittances_received_usd	float	50%	33	5972804.546, 6836565.018, 9275733.948, 5970436.096, 1552868.009
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	50%	33	0.382272194208193, 0.443619289279954, 0.460688972065196,...
`remittances_paid_usd`	remittances_paid_usd	float	76%	16	75017.8397, 418023.3479, 13781411.5192009,...

MMR Glottolog Language Catalog MMR-GLOTTOLOG Language

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

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0 Admin 0 — 1 table(s)

MMR Glottolog - Languages — 150 rows, 16 columns

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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%	100	acha1249, akeu1235, akha1245, akya1234, anal1239
`name`	Name	string	CCL	0%	100	Longchuan Achang, Akeu, Akha, Akyaung Ari Naga, Anal
`iso639_3`	Iso639 3	string	CCL	4%	96	acn, aeu, ahk, nqy, anm
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	0%	8	sino1245, sino1245, sino1245, book1242, sino1245
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	70	acha1252, akeu1236, akha1246, pend1244, anal1240
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	13	3, 0, 2, 0, 2

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	5%	95	24.3479, 22.1959, 21.2309, 24.0506, 24.754303
`longitude`	longitude	float	5%	95	97.7438, 101.0823, 100.964, 94.2806, 94.033796
`country_codes`	Country codes	string	0%	15	['CN', 'MM'], ['CN', 'LA', 'MM', 'TH'], ['CN', 'LA',...
`classification`	classification	string	0%	1	[], [], [], [], []

MMR LandScan Global (ORNL) MMR-LANDSCAN Modeled Population

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

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0 Admin 0 — 1 table(s)

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

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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	MMR
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Myanmar
`admin_code`	Admin code	string	SEL	0%	1	35516675B14551075264028
`area_sqkm`	Area sqkm	float	SEL	0%	1	668565.9119
`pop_2024`	Population count	integer	SEL	0%	1	57298378
`pop_density_2024`	Population density	float	SEL	0%	1	85.7

1 Admin 1 — 1 table(s)

MMR LandScan - Population Admin1 (admin_1) — 14 rows, 7 columns

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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	MMR, MMR, MMR, MMR, MMR
`admin_level`	Admin level	string	SEL	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`admin_name`	Admin name	string	SEL	0%	14	Yangon, Mandalay, Shan, Ayeyarwady, Saigang
`admin_code`	Admin code	string	SEL	0%	14	20573499B24734669936209, 20573499B45980987355836,...
`area_sqkm`	Area sqkm	float	SEL	0%	14	9788.3045, 38005.8049, 155714.089, 33583.2328, 93617.9257
`pop_2024`	Population count	integer	SEL	0%	14	8650437, 8360928, 6807728, 6798611, 6010541
`pop_density_2024`	Population density	float	SEL	0%	14	883.75, 219.99, 43.72, 202.44, 64.2

Locality Locality — 1 table(s)

MMR LandScan - Cities (locality) — 113 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	MMR, MMR, MMR, MMR, MMR
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	100	Yangon, Mandalay, Pegu, Taunggyi, Pyinmana [Nay Pyi Taw]
`admin_code`	Admin code	integer	SEL	0%	100	5029, 2597, 5344, 4582, 3687
`area_sqkm`	Area sqkm	float	SEL	0%	96	541.9619, 204.0007, 42.7625, 57.7136, 88.5398
`pop_2024`	Population count	integer	SEL	0%	100	5955694, 1700181, 309891, 268891, 251102
`pop_density_2024`	Population density	float	SEL	0%	100	10989.14, 8334.19, 7246.79, 4659.06, 2836.04

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%	100	6190958, 1849446, 392534, 383382, 556726
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	96	0.962, 0.919, 0.789, 0.701, 0.451

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

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

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Locality Locality — 1 table(s)

MMR GHS-UCDB - Cities (locality) — 113 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%	100	Yangon, Mandalay, Pyinmana [Nay Pyi Taw], Pegu, Taunggyi
`country_code`	Country code	string	SEL	0%	1	MMR, MMR, MMR, MMR, MMR
`population`	Population count	integer	SEL	0%	100	6190958, 1849446, 556726, 392534, 383382

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	100	5029, 2597, 3687, 5344, 4582
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Myanmar, Myanmar, Myanmar, Myanmar, Myanmar
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

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

91 rows · 3 tables · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 5 SEL 12 CCL 31 ext ▶

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0 Admin 0 — 3 table(s)

MMR NGA GNS - Language — 4 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	MMR, MMR, MMR, MMR
`gns_language_code`	gns_language_code	string	CCL	0%	4	mya, tha, eng, zho
`gns_language_name`	gns_language_name	string	CCL	0%	4	Burmese, Thai, English, Chinese
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	4	49986, 92, 25, 6
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	4	99.7545, 0.1836, 0.0499, 0.012
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	4	21830, 44, 0, 2
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	3	Mymr, Thai, Thai, Hans
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	3	Myanmar (Burmese), Thai, Thai, Han (Simplified variant)
`gns_script_count`	gns_script_count	integer	CCL	0%	3	3, 2, 1, 1

MMR 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	MMR
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Burma
`gns_language_count`	gns_language_count	integer	CCL	0%	1	4
`gns_script_count`	gns_script_count	integer	CCL	0%	1	6
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9795
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	21877

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	102421
`gns_feature_count`	gns_feature_count	integer	0%	1	65802
`gns_endonym_count`	gns_endonym_count	integer	0%	1	102400
`gns_exonym_count`	gns_exonym_count	integer	0%	1	21
`gns_source_build_date`	gns_source_build_date	string	0%	1	Mon, 24 Aug 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-08-24
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	88480
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	54907
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	1931
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	1108
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	4583
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	3681
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	6703
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	5682
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	393
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	328
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	330
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	95
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	1
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	1

MMR NGA GNS - Admin Crosswalk — 86 rows, 12 columns

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

Standards-Aligned Fields (1)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`gns_ufi`	gns_ufi	integer	0%	86	-417417, -438970, -412046, -417566, -419740
`admin_designation`	admin_designation	string	0%	2	ADM1, ADM1, ADM1, ADM1, ADM1
`gns_bgn_name`	gns_bgn_name	string	0%	85	Ayeyarwady, Bago, Chin State, Kachin State, Kayah State
`gns_local_name`	gns_local_name	string	100%	-	-
`iso_3166_2`	iso_3166_2	string	0%	15	MM-07, MM-02, MM-14, MM-11, MM-12
`parent_code`	parent_code	string	0%	15	MMR, MMR, MMR, MMR, MMR
`gns_prominence_band`	gns_prominence_band	integer	0%	4	9, 9, 9, 9, 9
`latitude`	latitude	float	0%	84	17.0, 18.25, 22.0, 26.0, 19.25
`longitude`	longitude	float	0%	84	95.0, 96.25, 93.5, 97.5, 97.5
`gns_mgrs`	gns_mgrs	string	0%	86	46QGD1292380642, 47QKA0920020032, 46QEK5161132911,...
`name_variant_count`	name_variant_count	integer	0%	9	7, 4, 4, 2, 4

MMR UNHCR Refugee Data Finder MMR-UNHCR Migration

61 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)

MMR UNHCR - Hosted Populations — 21 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%	-	-

MMR UNHCR - Origin Populations — 40 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%	-	-

MMR USAID DHS Program MMR-DHS Health Surveys

30 rows · 2 tables · 2016 USAID DHS Program 0 1 2 3 5 SEL 3 CCL 10 ext ▶

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1 Admin 1 — 2 table(s)

MMR DHS - Ethnicity Indicators — 15 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%	15	89.0, 92.8, 72.6, 95.1, 85.3
`men_who_are_literate`	Men who are literate	float	CCL	0%	15	94.4, 91.7, 85.2, 96.2, 87.8

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	Myanmar, Myanmar, Myanmar, Myanmar, Myanmar
`survey_year`	survey_year	integer	0%	1	2016, 2016, 2016, 2016, 2016
`region`	region	string	0%	15	Ayeyarwaddy, Bago, Chin, Kachin, Kayah
`survey_id`	survey_id	string	0%	1	MM2016DHS, MM2016DHS, MM2016DHS, MM2016DHS, MM2016DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

MMR DHS - Health Indicators — 15 rows, 10 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`contraception_modern_pct`	Contraception modern percent	float	SEL	0%	14	36.7, 37.7, 16.4, 26.8, 31.6
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	14	66.0, 80.0, 75.0, 50.0, 38.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	14	82.0, 83.0, 104.0, 61.0, 50.0
`children_underweight`	Children underweight	float	CCL	0%	15	24.6, 17.6, 16.7, 17.3, 17.9

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	Myanmar, Myanmar, Myanmar, Myanmar, Myanmar
`survey_year`	survey_year	integer	0%	1	2016, 2016, 2016, 2016, 2016
`region`	region	string	0%	15	Ayeyarwaddy, Bago, Chin, Kachin, Kayah
`survey_id`	survey_id	string	0%	1	MM2016DHS, MM2016DHS, MM2016DHS, MM2016DHS, MM2016DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

MMR D-PLACE MMR-DPLACE Ethnographic Societies

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

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

0 Admin 0 — 2 table(s)

MMR D-PLACE - Dplace Ea Societies — 8 rows, 23 columns

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

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	MMR, MMR, MMR, MMR, MMR
`society_id`	Society id	string	CCL	0%	8	Ei18, Ei19, Ei3, Ei4, Ei5
`society_name`	Society name	string	CCL	0%	8	Palaung, Chin, Burmese, Maras, Kachin
`language_glottocode`	Language glottocode	string	CCL	0%	8	shwe1236, asho1236, nucl1310, mara1382, kach1280
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	7	EA017:1; EA018:1; EA019:1; EA020:1; EA021:1; EA022:9;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	8	EA006:1; EA007:8; EA008:2; EA009:2; EA023:NA; EA025:NA,...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	7	EA001:0; EA002:0; EA003:0; EA004:2; EA005:8; EA028:3;...
`political_complexity`	Political complexity	string	CCL	0%	5	EA032:2; EA033:2, EA032:3; EA033:2, EA032:2; EA033:4,...
`religion_importance`	Religion importance	string	CCL	0%	7	EA034:1; EA112:4, EA034:1; EA112:1, EA034:1; EA112:4,...
`residence_pattern`	Residence pattern	string	CCL	0%	4	EA010:10; EA011:1; EA012:10; EA013:2; EA014:6, EA010:8;...
`settlement_pattern`	settlement_pattern	string	CCL	0%	6	EA030:7; EA031:2, EA030:7; EA031:NA, EA030:7; EA031:8,...

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Myanmar, Myanmar, Myanmar, Myanmar, Myanmar
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	7	23.0, 22.0, 20.0, 22.0, 26.0
`longitude`	longitude	float	0%	7	97.0, 94.0, 95.0, 93.0, 97.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon, point_in_polygon,...
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate, approximate, approximate, approximate
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024, 2024, 2024

MMR D-PLACE - Dplace Ea Societies Decoded — 8 rows, 49 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	MMR, MMR, MMR, MMR, MMR
`society_id`	society_id	string	CCL	0%	8	Ei18, Ei19, Ei3, Ei4, Ei5
`society_name`	society_name	string	CCL	0%	8	Palaung, Chin, Burmese, Maras, Kachin
`language_glottocode`	language_glottocode	string	CCL	0%	8	shwe1236, asho1236, nucl1310, mara1382, kach1280
`language_name`	language_name	string	CCL	0%	1	, , , ,

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Myanmar, Myanmar, Myanmar, Myanmar, Myanmar
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	7	23.0, 22.0, 20.0, 22.0, 26.0
`longitude`	longitude	float	0%	7	97.0, 94.0, 95.0, 93.0, 97.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon, point_in_polygon,...
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate, approximate, approximate, approximate
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024, 2024, 2024
`jurisdictional_hierarchy_of_local_community`	jurisdictional_hierarchy_of_local_community	integer	0%	3	2, 3, 2, 3, 4
`jurisdictional_hierarchy_beyond_local_community`	jurisdictional_hierarchy_beyond_local_community	integer	0%	3	2, 2, 4, 2, 2
`religion_high_gods`	religion_high_gods	integer	25%	3	1, 1, 1, 4, 3
`trance_states`	trance_states	integer	13%	4	4, 1, 4, 6, 4
`settlement_patterns`	settlement_patterns	integer	0%	3	7, 7, 7, 7, 7
`mean_size_of_local_communities`	mean_size_of_local_communities	integer	50%	4	2, 8, 3, 4
`marital_residence_first_years`	marital_residence_first_years	integer	0%	3	10, 8, 9, 8, 8
`residence_transfer_prevailing_pattern`	residence_transfer_prevailing_pattern	integer	0%	2	1, 1, 2, 1, 1
`marital_residence_prevailing_pattern`	marital_residence_prevailing_pattern	integer	0%	3	10, 8, 6, 8, 8
`residence_transfer_alternate`	residence_transfer_alternate	integer	0%	3	2, 2, 1, 9, 2
`marital_residence_alternate`	marital_residence_alternate	integer	0%	3	6, 6, 10, 11, 6
`largest_patrilineal_kin_group`	largest_patrilineal_kin_group	integer	0%	3	1, 4, 1, 4, 4
`largest_patrilineal_exogamous_group`	largest_patrilineal_exogamous_group	integer	0%	3	1, 3, 1, 1, 3
`largest_matrilineal_kin_group`	largest_matrilineal_kin_group	integer	0%	1	1, 1, 1, 1, 1
`largest_matrilineal_exogamous_group`	largest_matrilineal_exogamous_group	integer	0%	1	1, 1, 1, 1, 1
`cognatic_kin_groups`	cognatic_kin_groups	integer	0%	3	1, 9, 2, 9, 9
`secondary_cognatic_kin_group`	secondary_cognatic_kin_group	integer	0%	1	9, 9, 9, 9, 9
`kin_terms_for_cousins`	kin_terms_for_cousins	integer	0%	4	3, 6, 4, 6, 5
`descent_major_type`	descent_major_type	integer	0%	2	6, 1, 6, 1, 1
+14 more extension fields — download the CSV/Parquet to see them all.

MMR OpenFactBook MMR-OPENFACTBOOK Country Profile

15 rows · 15 tables · 2024 OpenFactBook 0 1 2 3 94 SEL 6 CCL 596 ext ▶

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0 Admin 0 — 15 table(s)

MMR 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	1.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	114.0
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	59.0
`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	MMR
`country_name`	Country name	string	SEL	0%	1	Burma
`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	559,000 (2024 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	559000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	1 (2024 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	62.3 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	62.3
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	114 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	government controls all domestic broadcast media; 2...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	2.0
`internet_country_code_text`	Internet country code text	string	0%	1	.mm
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	59% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	1.51 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	1.51
`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	east-n-southeast-asia/bm.json

MMR OpenFactBook - Economy — 1 rows, 139 columns

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Field details — 144 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	5300.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	74.08
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	24.8
`country_code`	Country code	string	SEL	0%	1	MMR
`country_name`	Country name	string	SEL	0%	1	Burma
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (138) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	slowly recovering Southeast Asian economy; household...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$287.559 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	287.559
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$290.381 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	290.381
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$287.624 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	287.624
`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	-1% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	-1.0
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	1% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	1.0
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	4% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	4.0
`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	$5,300 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$5,400 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	5400.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$5,400 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	5400.0
`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	$74.08 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2019_text`	Inflation rate consumer prices 2019 (text)	string	0%	1	8.8% (2019 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2019_numeric`	Inflation rate consumer prices 2019 (numeric)	float	0%	1	8.8
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2018_text`	Inflation rate consumer prices 2018 (text)	string	0%	1	6.9% (2018 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2018_numeric`	Inflation rate consumer prices 2018 (numeric)	float	0%	1	6.9
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2017_text`	Inflation rate consumer prices 2017 (text)	string	0%	1	4.6% (2017 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2017_numeric`	Inflation rate consumer prices 2017 (numeric)	float	0%	1	4.6
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
`gdp_composition_by_sector_of_origin_agriculture_text`	gdp_composition_by_sector_of_origin_agriculture_text	string	0%	1	20.8% (2024 est.)
+108 more extension fields — download the CSV/Parquet to see them all.

MMR OpenFactBook - Energy — 1 rows, 55 columns

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Field details — 55 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	73.7
`country_code`	Country code	string	SEL	0%	1	MMR
`country_name`	Country name	string	SEL	0%	1	Burma
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (51) — 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	73.7% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	93.9%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	93.9
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	62.8%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	62.8
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	7.419 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	7.419
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	23.625 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	23.625
`electricity_exports_text`	electricity_exports_text	string	0%	1	200 million kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	200.0
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	1.855 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	1.855
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	61.8% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	61.8
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	0.4% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	0.4
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	36.7% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	36.7
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	1% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	1.0
`coal_production_text`	coal_production_text	string	0%	1	1.031 million metric tons (2023 est.)
`coal_production_numeric`	coal_production_numeric	float	0%	1	1.031
`coal_consumption_text`	coal_consumption_text	string	0%	1	907,000 metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	907000.0
`coal_exports_text`	coal_exports_text	string	0%	1	221,000 metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	221000.0
`coal_imports_text`	coal_imports_text	string	0%	1	67,000 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	67000.0
`coal_proven_reserves_text`	coal_proven_reserves_text	string	0%	1	252 million metric tons (2023 est.)
+21 more extension fields — download the CSV/Parquet to see them all.

MMR OpenFactBook - Environment — 1 rows, 43 columns

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Field details — 48 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	19.9
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	42.4
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	32.1
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.85
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	4.677
`country_code`	Country code	string	SEL	0%	1	MMR
`country_name`	Country name	string	SEL	0%	1	Burma
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (40) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	deforestation; industrial pollution of air, soil, and...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Biodiversity, Climate Change, Climate Change-Kyoto...
`international_environmental_agreements_party_to_numeric`	international_environmental_agreements_party_to_numeric	float	0%	1	2006.0
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	none of the selected agreements
`climate_text`	climate_text	string	0%	1	tropical monsoon; cloudy, rainy, hot, humid summers...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	19.9% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 16.9% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	16.9
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 2.3% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	2.3
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 0.7% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	0.7
`land_use_forest_text`	land_use_forest_text	string	0%	1	42.4% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	37.7% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	37.7
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	32.1% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.85% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	27.005 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	27.005
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	1.24 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric	float	0%	1	1.24
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	17.39 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	17.39
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	8.376 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_consumed_natural_gas_numeric`	carbon_dioxide_emissions_from_consumed_natural_gas_numeric	float	0%	1	8.376
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	27.2 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	27.2
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	4.677 million tons (2024 est.)
`waste_and_recycling_percent_of_municipal_solid_waste_recycled_text`	waste_and_recycling_percent_of_municipal_solid_waste_recycled_text	string	0%	1	12.3% (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	12.3
+10 more extension fields — download the CSV/Parquet to see them all.

MMR OpenFactBook - Ethnic Groups — 1 rows, 8 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	MMR
`country_name`	Country name	string	SEL	0%	1	Burma
`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	Burmese (singular and plural)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Burmese
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Burman (Bamar) 68%, Shan 9%, Karen 7%, Rakhine 4%,...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	68.0
`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/bm.json

MMR OpenFactBook - Geography — 1 rows, 58 columns

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Field details — 62 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	676578.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	653508.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	23070.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	6522.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	1930.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	5870.0
`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	19.9
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	42.4
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	17140.0
`country_code`	Country code	string	SEL	0%	1	MMR
`country_name`	Country name	string	SEL	0%	1	Burma
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (49) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Southeastern Asia, bordering the Andaman Sea and the Bay...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	22 00 N, 98 00 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	676,578 sq km
`area_land_text`	area_land_text	string	0%	1	653,508 sq km
`area_water_text`	area_water_text	string	0%	1	23,070 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly smaller than Texas
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	6,522 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Bangladesh 271 km; China 2,129 km; India 1,468 km; Laos...
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	271.0
`coastline_text`	coastline_text	string	0%	1	1,930 km
`maritime_claims_territorial_sea_text`	maritime_claims_territorial_sea_text	string	0%	1	12 nm
`maritime_claims_territorial_sea_numeric`	maritime_claims_territorial_sea_numeric	float	0%	1	12.0
`maritime_claims_contiguous_zone_text`	maritime_claims_contiguous_zone_text	string	0%	1	24 nm
`maritime_claims_contiguous_zone_numeric`	maritime_claims_contiguous_zone_numeric	float	0%	1	24.0
`maritime_claims_exclusive_economic_zone_text`	maritime_claims_exclusive_economic_zone_text	string	0%	1	200 nm
`maritime_claims_exclusive_economic_zone_numeric`	maritime_claims_exclusive_economic_zone_numeric	float	0%	1	200.0
`maritime_claims_continental_shelf_text`	maritime_claims_continental_shelf_text	string	0%	1	200 nm or to the edge of the continental margin
`maritime_claims_continental_shelf_numeric`	maritime_claims_continental_shelf_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	tropical monsoon; cloudy, rainy, hot, humid summers...
`terrain_text`	terrain_text	string	0%	1	central lowlands ringed by steep, rugged highlands
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Gamlang Razi 5,870 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Andaman Sea/Bay of Bengal 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	702 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	702.0
`natural_resources_text`	natural_resources_text	string	0%	1	petroleum, timber, tin, antimony, zinc, copper,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	19.9% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 16.9% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	16.9
+19 more extension fields — download the CSV/Parquet to see them all.

MMR OpenFactBook - Government — 1 rows, 73 columns

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Field details — 102 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	MMR
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (100) — 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	Union of Burma
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Burma
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Pyidaungzu Thammada Myanma Naingngandaw (translated as...
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Myanma Naingngandaw
`country_name_former_text`	country_name_former_text	string	0%	1	Socialist Republic of the Union of Burma, Union of Myanmar
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	both "Burma" and "Myanmar" derive from the name of the...
`country_name_note`	country_name_note	string	0%	1	note: since 1989 the military authorities in Burma and...
`government_type_text`	government_type_text	string	0%	1	military regime
`capital_name_text`	capital_name_text	string	0%	1	Rangoon (aka Yangon, continues to be recognized as the...
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	16 48 N, 96 10 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	16.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+6.5 (11.5 hours ahead of Washington, DC, during...
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	6.5
`capital_etymology_text`	capital_etymology_text	string	0%	1	Rangoon/Yangon derives from the Burmese words yan and...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	7 regions (taing-myar, singular - taing), 7 states (pyi...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	7.0
`legal_system_text`	legal_system_text	string	0%	1	mixed legal system of English common law (as introduced...
`constitution_history_text`	constitution_history_text	string	0%	1	previous 1947, 1974 (suspended until 2008); latest...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	1947.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposals require at least 20% approval by the Assembly...
`constitution_amendment_process_numeric`	constitution_amendment_process_numeric	float	0%	1	20.0
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	has not submitted an ICJ jurisdiction declaration;...
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	0%	1	no
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	both parents must be citizens of Burma
`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	none
`citizenship_note`	citizenship_note	string	0%	1	note: an applicant for naturalization must be the child...
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
`executive_branch_chief_of_state_text`	executive_branch_chief_of_state_text	string	0%	1	Acting President Sr. Gen. MIN AUNG HLAING (since 31 July 2025)
+70 more extension fields — download the CSV/Parquet to see them all.

MMR 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	MMR
`country_name`	Country name	string	SEL	0%	1	Burma
`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	Burma is home to ethnic Burmans and scores of other...
`background_numeric`	background_numeric	float	0%	1	1820.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/bm.json

MMR OpenFactBook - Languages — 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	MMR
`country_name`	Country name	string	SEL	0%	1	Burma
`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
`languages_languages_text`	Languages (text)	string	0%	1	Burmese (official)
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	ကမ္ဘာ့အချက်အလက်စာအုပ်- အခြေခံအချက်အလက်တွေအတွက်...
`languages_note`	languages_note	string	0%	1	note: minority ethnic groups use their own 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/bm.json

MMR OpenFactBook - Migration — 1 rows, 10 columns

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

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	3,646,658 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	3646658.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	619,429 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	619429.0
`trafficking_in_persons_tier_rating_text`	trafficking_in_persons_tier_rating_text	string	0%	1	Tier 3 — Burma 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/bm.json

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

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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	MMR
`country_name`	Country name	string	SEL	0%	1	Burma
`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	Burmese Defense Service (aka Armed Forces of Burma,...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	3.9% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	3.9
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	3.6% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	3.6
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	3.5% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	3.5
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	3% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	3.0
`military_expenditures_military_expenditures_2019_text`	Military expenditures 2019 (text)	string	0%	1	4.1% of GDP (2019 est.)
`military_expenditures_military_expenditures_2019_numeric`	Military expenditures 2019 (numeric)	float	0%	1	4.1
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	information varies; estimated 150,000 active military...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	150000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the Burmese military's inventory is comprised of mostly...
`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 (men) and 18-27 years of age (women)...
`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	since the country’s founding, the Tatmadaw has been...
`military_note_numeric`	military_note_numeric	float	0%	1	1962.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/bm.json

MMR OpenFactBook - People And Society — 1 rows, 139 columns

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Field details — 152 fields (type, nulls, unique, samples)

Standards-Aligned Fields (29)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	57931718.0
`population_male_numeric`	Population male	float	SEL	0%	1	28591467.0
`population_female_numeric`	Population female	float	SEL	0%	1	29340251.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	24.4
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	68.5
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	7.1
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	45.7
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	35.0
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	10.7
`median_age_total_numeric`	Median age	float	SEL	0%	1	31.1
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.69
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	15.44
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	7.17
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-1.36
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	32.1
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.85
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.06
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	0.97
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	185.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	30.8
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	70.3
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.95
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.95
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.76
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	1.1
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	93.5
`country_code`	Country code	string	SEL	0%	1	MMR
`country_name`	Country name	string	SEL	0%	1	Burma
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (123) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	57,931,718 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	28,591,467
`population_female_text`	population_female_text	string	0%	1	29,340,251
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	24.4% (male 7,197,177/female 6,843,879)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	68.5% (male 19,420,361/female 19,998,625)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	7.1% (2024 est.) (male 1,770,293/female 2,296,804)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	45.7 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	35 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	10.7 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	9.3 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	9.3
`median_age_total_text`	median_age_total_text	string	0%	1	31.1 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	29.9 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	29.9
`median_age_female_text`	median_age_female_text	string	0%	1	31.6 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	31.6
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.69% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	15.44 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	7.17 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-1.36 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	population concentrated along coastal areas and in...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	32.1% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.85% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	5.610 million RANGOON (Yangon) (capital), 1.532 million...
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	5.61
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.06 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	0.97 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.97
+93 more extension fields — download the CSV/Parquet to see them all.

MMR OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 24 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	MMR
`country_name`	Country name	string	SEL	0%	1	Burma
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_buddhist_pct_synth`	Buddhist	numeric	CCL	0%	-	87.9
`composition_religion_christian_pct_synth`	Christian	numeric	CCL	0%	-	6.2
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	4.3
`composition_religion_hindu_pct_synth`	Hindu	numeric	CCL	0%	-	0.5
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	0.2
`composition_ethnicity_primary_label_synth`	Burman (Bamar)	string	CCL	0%	-	Burman (Bamar)

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	Buddhist 87.9%, Christian 6.2%, Muslim 4.3%, Animist...
`religions_numeric`	religions_numeric	float	0%	1	87.9
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/bm.json

Pending (11) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_animist_pct_synth`	Animist	numeric	0%	-	0.8
`composition_religion_none_pct_synth`	none	numeric	0%	-	0.1
`composition_ethnicity_burman_bamar_pct_synth`	Burman (Bamar)	numeric	0%	-	68.0
`composition_ethnicity_shan_pct_synth`	Shan	numeric	0%	-	9.0
`composition_ethnicity_karen_pct_synth`	Karen	numeric	0%	-	7.0
`composition_ethnicity_rakhine_pct_synth`	Rakhine	numeric	0%	-	4.0
`composition_ethnicity_chinese_pct_synth`	Chinese	numeric	0%	-	3.0
`composition_ethnicity_indian_pct_synth`	Indian	numeric	0%	-	2.0
`composition_ethnicity_mon_pct_synth`	Mon	numeric	0%	-	2.0
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	5.0
`composition_ethnicity_primary_share_pct_synth`	Burman (Bamar)	numeric	0%	-	68.0

MMR OpenFactBook - Transnational Issues — 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	MMR
`country_name`	Country name	string	SEL	0%	1	Burma
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`illicit_drugs_usg_identification_text`	illicit_drugs_usg_identification_text	string	0%	1	major illicit drug-producing and/or drug-transit...
`illicit_drugs_usg_identification_numeric`	illicit_drugs_usg_identification_numeric	float	0%	1	2025.0
`source_section`	source_section	string	0%	1	Transnational Issues
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/bm.json

MMR OpenFactBook - Transportation — 1 rows, 29 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
`airports_numeric`	Airports count	float	SEL	0%	1	74.0
`country_code`	Country code	string	SEL	0%	1	MMR
`country_name`	Country name	string	SEL	0%	1	Burma
`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
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	0%	1	XY
`airports_text`	airports_text	string	0%	1	74 (2025)
`heliports_text`	heliports_text	string	0%	1	6 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	6.0
`railways_total_text`	railways_total_text	string	0%	1	5,031 km (2008)
`railways_total_numeric`	railways_total_numeric	float	0%	1	5031.0
`railways_narrow_gauge_text`	railways_narrow_gauge_text	string	0%	1	5,031 km (2008) 1.000-m gauge
`railways_narrow_gauge_numeric`	railways_narrow_gauge_numeric	float	0%	1	5031.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	101 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	101.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 1, general cargo 44, oil tanker 5, other 51
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	1.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	7 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	7.0
`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	0
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	0.0
`ports_small_text`	ports_small_text	float	0%	1	5
`ports_small_numeric`	ports_small_numeric	float	0%	1	5.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	2
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	2.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	3
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	3.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Bassein, Mergui, Moulmein Harbor, Rangoon, Sittwe
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/bm.json

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

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

1 rows × 278 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

MMR Inform - Risk Index — 1 rows, 278 columns

Loading data…

Field details — 278 fields (type, nulls, unique, samples)

Pending (278) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	MMR
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	0.0
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.0
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	0.0
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	653290.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.05
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.255070162380719
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	6.4
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	1.55261993408203
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	5.6
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	4.7
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	6.1
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	9.2
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	4.9
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	4.7
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	5.3
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	4.7
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	2.1
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	8.1
`inform_cc_inf_com`	Communication	float	0%	1	3.0
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	4.4
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	2.0
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	1.4
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	4.1
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	5.1
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	2.9
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	9.4
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	2.9
`inform_institutional_capacity`	Institutional	float	0%	1	6.4
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	4.4
+248 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Language	Place names	Share*	Script
Burmese (mya)	49,986	99.8%	Myanmar (Burmese) +2
Thai (tha)	92	0.2%	Thai +1
+ 2 further languages (31 names, each under 0.05%)

Source	Type	Access
INFORM Risk Index (EC-JRC)	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
Glottolog Language Catalog	academic	bulk_download
World Bank Open Data	international_organization	api
D-PLACE (Database of Places, Language, Culture & Environment)	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