Moldova

MDA National Bureau of Statistics (BNS) MDA-BNS_CENSUS Census

962 rows · 3 table(s) National Bureau of Statistics (BNS) 0 1 2 3 9 SEL ▶

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0 Admin 0 — 1 table(s)

MDA Bns Census - Mda Population (admin_0) — 1 rows, 5 columns

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Field details — 5 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	admin_code	string	SEL	0%	1	MDA
`admin_name`	admin_name	string	SEL	0%	1	Moldova
`population_count`	population_count	integer	SEL	0%	1	2365645

Pending (2) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_0
`year`	year	integer	0%	1	2026

1 Admin 1 — 1 table(s)

MDA Bns Census - Mda Population (admin_1) — 34 rows, 5 columns

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Field details — 5 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	admin_code	string	SEL	0%	34	mun_chisinau, mun_balti, briceni, donduseni, drochia
`admin_name`	admin_name	string	SEL	0%	34	Mun.Chisinau, ..Mun.Balti, ..Briceni, ..Donduseni, ..Drochia
`population_count`	population_count	integer	SEL	0%	34	714488, 91307, 44828, 27086, 52098

Pending (2) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	year	integer	0%	1	2026, 2026, 2026, 2026, 2026

2 Admin 2 — 1 table(s)

MDA Bns Census - Mda Population (admin_2) — 927 rows, 5 columns

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Field details — 5 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	admin_code	string	SEL	0%	100	municipiul_chisinau, or__chisinau, or__singera,...
`admin_name`	admin_name	string	SEL	0%	100	Municipiul CHISINAU, or. Chisinau, or. Singera, com....
`population_count`	population_count	integer	SEL	0%	99	714488, 559959, 12602, 11637, 27826

Pending (2) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	year	integer	0%	1	2026, 2026, 2026, 2026, 2026

MDA UNHCR Refugee Data Finder MDA-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)

MDA 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%	-	-

MDA 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%	-	-

MDA World Bank Open Data MDA-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)

MDA 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	MD, MD, MD, MD, MD
`population_count`	Population count	float	SEL	2%	65	2058020.0, 2103327.0, 2147227.0, 2188895.0, 2228000.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	59.44, 59.856, 60.254, 60.616, 60.962
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	47%	35	1206.50208704977, 1037.89950336245, 778.017667420102,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	96%	3	96.379997253418, 96.6500015258789, 99.3600006103516
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	20%	49	63.9, 62.0, 60.3, 58.6, 56.8
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	92%	5	25.2, 26.8, 24.5, 31.1, 31.6

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

MDA 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	MD, MD, MD, MD, MD
`life_expectancy`	Life expectancy	float	SEL	3%	64	59.44, 59.856, 60.254, 60.616, 60.962
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	36%	38	21.4, 20.9, 20.5, 20.0, 19.5
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	20%	49	63.9, 62.0, 60.3, 58.6, 56.8
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	22	62.0, 60.0, 56.0, 53.0, 52.0
`fertility_rate`	Fertility rate	float	SEL	3%	60	3.315, 3.228, 3.043, 2.891, 2.71
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	28.851, 27.732, 25.76, 24.094, 22.147
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	11.187, 11.006, 10.819, 10.671, 10.54
`physicians_per_1000`	Physicians per 1000	float	SEL	38%	41	2.816, 2.895, 3.007, 3.089, 3.193
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	33%	41	12.0548000335693, 12.0820999145508, 12.0510997772217,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	50%	15	84.0, 70.0, 86.0, 96.0, 97.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	5.92687273, 6.23449755, 7.40437651, 7.02227592, 8.97114944

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

MDA Global Data Lab MDA-GDL Development Indices

95 rows · 1 table(s) Global Data Lab 0 1 2 3 9 SEL 2 ext ▶

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1 Admin 1 — 1 table(s)

MDA GDL - Subnational Indices — 95 rows, 11 columns

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Field details — 11 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	MDA, MDA, MDA, MDA, MDA
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	5	Total, Center, Chisinau, North, South
`human_development_index`	Human development index	float	SEL	0%	74	0.689, 0.663, 0.762, 0.671, 0.667
`health_index`	Health index	float	SEL	0%	50	0.741, 0.739, 0.76, 0.753, 0.713
`education_index`	Education index	float	SEL	0%	78	0.646, 0.612, 0.746, 0.613, 0.625
`income_index`	Income index	float	SEL	0%	78	0.683, 0.644, 0.782, 0.655, 0.667
`life_expectancy`	Life expectancy	float	SEL	0%	83	68.2, 68.03, 69.39, 68.95, 66.36
`mean_years_schooling`	Mean years schooling	float	SEL	0%	76	9.692, 9.105, 11.69, 9.096, 9.223

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	19	2005, 2005, 2005, 2005, 2005
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

MDA LandScan Global (ORNL) MDA-LANDSCAN Modeled Population

43 rows · 3 table(s) LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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0 Admin 0 — 1 table(s)

MDA 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	MDA
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Republic of Moldova
`admin_code`	Admin code	string	SEL	0%	1	4708702B29289826527328
`area_sqkm`	Area sqkm	float	SEL	0%	1	33997.0434
`pop_2024`	Population count	integer	SEL	0%	1	3610273
`pop_density_2024`	Population density	float	SEL	0%	1	106.19

1 Admin 1 — 1 table(s)

MDA LandScan - Population Admin1 (admin_1) — 37 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	MDA, MDA, MDA, MDA, MDA
`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%	37	Chisinau, Transnistria, Gagauzia, Cahul, Hincesti
`admin_code`	Admin code	string	SEL	0%	37	25212430B29368029244886, 25212430B22111314945643,...
`area_sqkm`	Area sqkm	float	SEL	0%	37	569.9188, 3348.7759, 1847.5906, 1547.0413, 1471.747
`pop_2024`	Population count	integer	SEL	0%	37	515274, 407420, 148572, 115507, 114225
`pop_density_2024`	Population density	float	SEL	0%	37	904.12, 121.66, 80.41, 74.66, 77.61

Locality Locality — 1 table(s)

MDA LandScan - Cities (locality) — 5 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	MDA, MDA, MDA, MDA, MDA
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	5	Chișinău, Tiraspol, Bender, Bălți, Rybnitsa
`admin_code`	Admin code	integer	SEL	0%	5	442, 729, 590, 110, 288
`area_sqkm`	Area sqkm	float	SEL	0%	5	101.0476, 32.014, 23.0099, 21.0134, 15.0081
`pop_2024`	Population count	integer	SEL	0%	5	362276, 130489, 83205, 77275, 35015
`pop_density_2024`	Population density	float	SEL	0%	5	3585.2, 4076.0, 3616.05, 3677.42, 2333.07

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%	5	450581, 92114, 65118, 53610, 68169
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	5	0.804, 1.417, 1.278, 1.441, 0.514

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

36 rows · 2 table(s) HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 10 SEL ▶

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0 Admin 0 — 1 table(s)

MDA Cod Ps - Mda Codps (admin_0) — 1 rows, 56 columns

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Field details — 56 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	1	MD
`region_name`	Region name	string	SEL	0%	1	Moldova
`F_TL`	Female population	integer	SEL	0%	1	1362392
`M_TL`	Male population	integer	SEL	0%	1	1241421
`T_TL`	Total population	integer	SEL	0%	1	2603813

Pending (51) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2022
`year`	year	integer	0%	1	2022
`F_00_04`	Female population age 0-4	integer	0%	1	71545
`F_05_09`	Female population age 5-9	integer	0%	1	81653
`F_10_14`	Female population age 10-14	integer	0%	1	76222
`F_15_19`	Female population age 15-19	integer	0%	1	66771
`F_20_24`	Female population age 20-24	integer	0%	1	63178
`F_25_29`	Female population age 25-29	integer	0%	1	83874
`F_30_34`	Female population age 30-34	integer	0%	1	102128
`F_35_39`	Female population age 35-39	integer	0%	1	104370
`F_40_44`	Female population age 40-44	integer	0%	1	90493
`F_45_49`	Female population age 45-49	integer	0%	1	87910
`F_50_54`	Female population age 50-54	integer	0%	1	84209
`F_55_59`	Female population age 55-59	integer	0%	1	93609
`F_60_64`	Female population age 60-64	integer	0%	1	110758
`F_65_69`	Female population age 65-69	integer	0%	1	94785
`F_70_74`	Female population age 70-74	integer	0%	1	75932
`F_75Plus`	F_75Plus	integer	0%	1	74955
`M_00_04`	Male population age 0-4	integer	0%	1	76466
`M_05_09`	Male population age 5-9	integer	0%	1	86777
`M_10_14`	Male population age 10-14	integer	0%	1	80121
`M_15_19`	Male population age 15-19	integer	0%	1	70682
`M_20_24`	Male population age 20-24	integer	0%	1	66260
`M_25_29`	Male population age 25-29	integer	0%	1	84571
`M_30_34`	Male population age 30-34	integer	0%	1	102862
`M_35_39`	Male population age 35-39	integer	0%	1	105049
`M_40_44`	Male population age 40-44	integer	0%	1	88250
`M_45_49`	Male population age 45-49	integer	0%	1	84194
`M_50_54`	Male population age 50-54	integer	0%	1	78708
+21 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

MDA Cod Ps - Mda Codps (admin_1) — 35 rows, 56 columns

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Field details — 56 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	35	MD001, MD002, MD003, MD005, MD006
`region_name`	Region name	string	SEL	0%	35	Anenii Noi, Balti, Basarabeasca, Briceni, Cahul
`F_TL`	Female population	integer	SEL	0%	35	32404, 52798, 8857, 28977, 43590
`M_TL`	Male population	integer	SEL	0%	35	29995, 45360, 7937, 25612, 39277
`T_TL`	Total population	integer	SEL	0%	35	62399, 98158, 16794, 54589, 82867

Pending (51) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	Reference year	integer	0%	1	2022, 2022, 2022, 2022, 2022
`year`	year	integer	0%	1	2022, 2022, 2022, 2022, 2022
`F_00_04`	Female population age 0-4	integer	0%	35	1600, 2781, 451, 1238, 2215
`F_05_09`	Female population age 5-9	integer	0%	35	1985, 3437, 460, 1314, 2658
`F_10_14`	Female population age 10-14	integer	0%	35	1878, 3056, 413, 1444, 2406
`F_15_19`	Female population age 15-19	integer	0%	35	1612, 2347, 451, 1434, 2359
`F_20_24`	Female population age 20-24	integer	0%	35	1548, 2234, 469, 1331, 2172
`F_25_29`	Female population age 25-29	integer	0%	35	1823, 4060, 463, 1606, 2703
`F_30_34`	Female population age 30-34	integer	0%	35	2171, 4607, 532, 1810, 2816
`F_35_39`	Female population age 35-39	integer	0%	35	2402, 4485, 535, 1916, 3009
`F_40_44`	Female population age 40-44	integer	0%	35	2026, 3577, 477, 1782, 2607
`F_45_49`	Female population age 45-49	integer	0%	35	2074, 3098, 574, 1850, 2868
`F_50_54`	Female population age 50-54	integer	0%	35	1911, 3104, 497, 1917, 2605
`F_55_59`	Female population age 55-59	integer	0%	35	2351, 3299, 658, 2059, 3121
`F_60_64`	Female population age 60-64	integer	0%	35	2906, 3990, 876, 2528, 3882
`F_65_69`	Female population age 65-69	integer	0%	35	2562, 3427, 869, 2099, 3339
`F_70_74`	Female population age 70-74	integer	0%	35	1923, 2756, 662, 1841, 2474
`F_75Plus`	F_75Plus	integer	0%	34	1632, 2540, 470, 2808, 2356
`M_00_04`	Male population age 0-4	integer	0%	35	1658, 3014, 478, 1190, 2309
`M_05_09`	Male population age 5-9	integer	0%	35	2019, 3638, 418, 1313, 2745
`M_10_14`	Male population age 10-14	integer	0%	35	1866, 3107, 454, 1528, 2598
`M_15_19`	Male population age 15-19	integer	0%	35	1733, 2515, 499, 1428, 2384
`M_20_24`	Male population age 20-24	integer	0%	35	1628, 2210, 500, 1335, 2267
`M_25_29`	Male population age 25-29	integer	0%	35	1873, 3435, 450, 1432, 2522
`M_30_34`	Male population age 30-34	integer	0%	35	2405, 4089, 517, 1980, 2901
`M_35_39`	Male population age 35-39	integer	0%	35	2430, 4404, 613, 2023, 3010
`M_40_44`	Male population age 40-44	integer	0%	35	2165, 3488, 440, 1888, 2665
`M_45_49`	Male population age 45-49	integer	0%	35	1980, 2927, 482, 1767, 2646
`M_50_54`	Male population age 50-54	integer	0%	34	1792, 2476, 544, 1798, 2459
+21 more pending fields — download the CSV/Parquet to see them all.

MDA OpenFactBook MDA-OPENFACTBOOK Country Profile

14 rows · 14 table(s) OpenFactBook 0 1 2 3 92 SEL 2 CCL 560 ext ▶

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0 Admin 0 — 14 table(s)

MDA 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	28.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	120.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.md
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	80.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	27.0
`country_code`	Country code	string	SEL	0%	1	MDA
`country_name`	Country name	string	SEL	0%	1	Moldova
`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	847,000 (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	847000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	28 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	3.64 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	3.64
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	120 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	state-owned national radio-TV broadcaster operates 1 TV...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	1.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	80% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	841,000 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	841000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	27 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	europe/md.json

MDA OpenFactBook - Economy — 1 rows, 155 columns

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

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`real_gdp_per_capita_real_gdp_per_capita_2024_numeric`	Real gdp per capita 2024 (numeric)	float	SEL	0%	1	16500.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	18.2
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	31.1
`country_code`	Country code	string	SEL	0%	1	MDA
`country_name`	Country name	string	SEL	0%	1	Moldova
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	upper middle-income Eastern European economy; sustained...
`economic_overview_numeric`	economic_overview_numeric	float	0%	1	-19.0
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$39.342 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	39.342
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$39.301 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	39.301
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$38.835 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	38.835
`real_gdp_purchasing_power_parity_note`	real_gdp_purchasing_power_parity_note	string	0%	1	note: data in 2021 dollars
`real_gdp_growth_rate_real_gdp_growth_rate_2024_text`	Real gdp growth rate 2024 (text)	string	0%	1	0.1% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	0.1
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	1.2% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	1.2
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	-4.6% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	-4.6
`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	$16,500 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$16,000 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	16000.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$15,400 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	15400.0
`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	$18.2 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	4.7% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	4.7
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	13.4% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	13.4
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	28.7% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	28.7
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+119 more extension fields — download the CSV/Parquet to see them all.

MDA OpenFactBook - Energy — 1 rows, 41 columns

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Field details — 41 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`electricity_access_electrification_total_population_numeric`	Electricity access percent	float	SEL	0%	1	100.0
`country_code`	Country code	string	SEL	0%	1	MDA
`country_name`	Country name	string	SEL	0%	1	Moldova
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (37) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`electricity_access_electrification_total_population_text`	electricity_access_electrification_total_population_text	string	0%	1	100% (2022 est.)
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	779,000 kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	779000.0
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	5.674 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	5.674
`electricity_exports_text`	electricity_exports_text	string	0%	1	94 million kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	94.0
`electricity_imports_text`	electricity_imports_text	string	0%	1	1.264 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	1.264
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	550.069 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	550.069
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	88% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	88.0
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	1.7% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	1.7
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	3.8% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	3.8
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	6.3% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	6.3
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	0.2% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	0.2
`coal_consumption_text`	coal_consumption_text	string	0%	1	90,000 metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	90000.0
`coal_imports_text`	coal_imports_text	string	0%	1	86,000 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	86000.0
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	22,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	22000.0
`natural_gas_production_text`	natural_gas_production_text	string	0%	1	10,000 cubic meters (2021 est.)
`natural_gas_production_numeric`	natural_gas_production_numeric	float	0%	1	10000.0
`natural_gas_consumption_text`	natural_gas_consumption_text	string	0%	1	2.223 billion cubic meters (2023 est.)
+7 more extension fields — download the CSV/Parquet to see them all.

MDA OpenFactBook - Environment — 1 rows, 47 columns

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Field details — 47 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	74.1
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	11.3
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	43.4
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.09
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	3.981
`country_code`	Country code	string	SEL	0%	1	MDA
`country_name`	Country name	string	SEL	0%	1	Moldova
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (39) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	soil and water pollution from heavy use of agricultural...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Air Pollution, Air Pollution-Heavy Metals, Air...
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	Air Pollution-Multi-effect Protocol
`climate_text`	climate_text	string	0%	1	moderate winters, warm summers
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	74.1% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 56.8% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	56.8
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 8.1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	8.1
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 9.4% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	9.4
`land_use_forest_text`	land_use_forest_text	string	0%	1	11.3% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	13.8% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	13.8
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	43.4% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.09% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	7.093 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	7.093
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	219,000 metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric	float	0%	1	219000.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	3.087 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	3.087
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	3.786 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	3.786
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	12.3 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	12.3
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	3.981 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	36.9% (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	36.9
`total_water_withdrawal_municipal_text`	total_water_withdrawal_municipal_text	string	0%	1	160 million cubic meters (2022 est.)
+9 more extension fields — download the CSV/Parquet to see them all.

MDA 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	MDA
`country_name`	Country name	string	SEL	0%	1	Moldova
`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	Moldovan(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Moldovan
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Moldovan 75.1%, Romanian 7%, Ukrainian 6.6%, Gagauz...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	75.1
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	europe/md.json

MDA OpenFactBook - Geography — 1 rows, 53 columns

Loading data…

Field details — 53 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	33851.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	32891.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	960.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	1885.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	0.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	430.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	2.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	74.1
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	11.3
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	2150.0
`country_code`	Country code	string	SEL	0%	1	MDA
`country_name`	Country name	string	SEL	0%	1	Moldova
`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
`location_text`	location_text	string	0%	1	Eastern Europe, northeast of Romania
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	47 00 N, 29 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	47.0
`map_references_text`	map_references_text	string	0%	1	Europe
`area_total_text`	area_total_text	string	0%	1	33,851 sq km
`area_land_text`	area_land_text	string	0%	1	32,891 sq km
`area_water_text`	area_water_text	string	0%	1	960 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly larger than Maryland
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	1,885 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Romania 683 km; Ukraine 1202 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	683.0
`coastline_text`	coastline_text	string	0%	1	0 km (landlocked)
`maritime_claims_text`	maritime_claims_text	string	0%	1	none (landlocked)
`climate_text`	climate_text	string	0%	1	moderate winters, warm summers
`terrain_text`	terrain_text	string	0%	1	rolling steppe, gradual slope south to Black Sea
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Dealul Balanesti 430 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Dniester (Nistru) 2 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	139 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	139.0
`natural_resources_text`	natural_resources_text	string	0%	1	lignite, phosphorites, gypsum, limestone, arable land
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	74.1% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 56.8% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	56.8
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 8.1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	8.1
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 9.4% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	9.4
`land_use_forest_text`	land_use_forest_text	string	0%	1	11.3% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	13.8% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	13.8
+10 more extension fields — download the CSV/Parquet to see them all.

MDA OpenFactBook - Government — 1 rows, 108 columns

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Field details — 108 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	MDA
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (106) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name_conventional_long_form_text`	country_name_conventional_long_form_text	string	0%	1	Republic of Moldova
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Moldova
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Republica Moldova
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Moldova
`country_name_former_text`	country_name_former_text	string	0%	1	Moldavian Soviet Socialist Republic, Moldovan Soviet...
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	named for the Moldova River in neighboring eastern...
`government_type_text`	government_type_text	string	0%	1	parliamentary republic
`capital_name_text`	capital_name_text	string	0%	1	Chisinau in Romanian (Kishinev in Russian)
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	47 00 N, 28 51 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	47.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+2 (7 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	2.0
`capital_daylight_saving_time_text`	capital_daylight_saving_time_text	string	0%	1	+1hr, begins last Sunday in March; ends last Sunday in October
`capital_daylight_saving_time_numeric`	capital_daylight_saving_time_numeric	float	0%	1	1.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	origin unclear but may derive from the Old Moldovan word...
`capital_note`	capital_note	string	0%	1	note: pronounced KEE-shee-now (KIH-shi-nyov)
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	32 districts (raioane, singular - raion), 3...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	32.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system with Germanic law influences;...
`constitution_history_text`	constitution_history_text	string	0%	1	previous 1978; latest adopted 29 July 1994, effective 27...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	1978.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by voter petition (at least 200,000 eligible...
`constitution_amendment_process_numeric`	constitution_amendment_process_numeric	float	0%	1	200000.0
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	has not submitted an ICJ jurisdiction declaration;...
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	0%	1	no
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	at least one parent must be a citizen of Moldova
`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	10 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	10.0
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal
+76 more extension fields — download the CSV/Parquet to see them all.

MDA 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	MDA
`country_name`	Country name	string	SEL	0%	1	Moldova
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`background_text`	background_text	string	0%	1	A large portion of present-day Moldovan territory became...
`background_numeric`	background_numeric	float	0%	1	1812.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	europe/md.json

MDA 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	MDA
`country_name`	Country name	string	SEL	0%	1	Moldova
`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	Moldovan/Romanian 80.2% (official) (56.7% Moldovan;...
`languages_languages_numeric`	Languages (numeric)	float	0%	1	80.2
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	Cartea informativa a lumii, sursa indispensabila pentru...
`languages_note`	languages_note	string	0%	1	note: data represent mother tongue; as of March 2023,...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	europe/md.json

MDA OpenFactBook - Migration — 1 rows, 11 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	MDA
`country_name`	Country name	string	SEL	0%	1	Moldova
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	136,845 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	136845.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	6 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	6.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	3,164 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	3164.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	europe/md.json

MDA OpenFactBook - Military And Security — 1 rows, 25 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	MDA
`country_name`	Country name	string	SEL	0%	1	Moldova
`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	Armed Forces of the Republic of Moldova (Forțele Armate...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	0.6% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	0.6
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	0.6% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	0.6
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	0.4% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	0.4
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	0.4% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	0.4
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	0.4% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	0.4
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 6,500 Moldovan Armed Forces (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	6500.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the military's inventory is limited and almost entirely...
`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	18-27 years of age for compulsory or voluntary military...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	18.0
`military_note_text`	military_note_text	string	0%	1	the National Army is responsible for defense against...
`military_note_numeric`	military_note_numeric	float	0%	1	1992.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	europe/md.json

MDA OpenFactBook - People And Society — 1 rows, 138 columns

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Field details — 138 fields (type, nulls, unique, samples)

Standards-Aligned Fields (28)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	3578930.0
`population_male_numeric`	Population male	float	SEL	0%	1	1687496.0
`population_female_numeric`	Population female	float	SEL	0%	1	1891434.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	14.8
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	70.2
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	15.0
`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	20.8
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	22.2
`median_age_total_numeric`	Median age	float	SEL	0%	1	40.4
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	-0.57
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	8.35
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	14.06
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	0.0
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	43.4
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.09
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.07
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	0.89
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	19.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	13.5
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	70.1
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.27
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.61
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	4.02
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	5.7
`country_code`	Country code	string	SEL	0%	1	MDA
`country_name`	Country name	string	SEL	0%	1	Moldova
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (110) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	3,578,930 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	1,687,496
`population_female_text`	population_female_text	string	0%	1	1,891,434
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	14.8% (male 266,493/female 266,166)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	70.2% (male 1,225,535/female 1,300,640)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	15% (2024 est.) (male 206,221/female 334,473)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	43 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	20.8 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	22.2 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	4.5 (2025 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	40.4 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	38.6 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	38.6
`median_age_female_text`	median_age_female_text	string	0%	1	41.3 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	41.3
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	-0.57% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	8.35 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	14.06 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	0 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	pockets of agglomeration exist throughout the country,...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	43.4% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.09% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	488,000 CHISINAU (capital) (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	488000.0
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.07 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.0
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.94 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.94
+80 more extension fields — download the CSV/Parquet to see them all.

MDA OpenFactBook - Religions — 1 rows, 22 columns

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Field details — 22 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	MDA
`country_name`	Country name	string	SEL	0%	1	Moldova
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	0.1
`composition_ethnicity_primary_label_synth`	Moldovan	string	CCL	0%	-	Moldovan

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	Orthodox 90.1%, other Christian 2.6%, other 0.1%,...
`religions_numeric`	religions_numeric	float	0%	1	90.1
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	europe/md.json

Pending (13) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_orthodox_pct_synth`	Orthodox	numeric	0%	-	90.1
`composition_religion_other_christian_pct_synth`	other Christian	numeric	0%	-	2.6
`composition_religion_agnostic_pct_synth`	agnostic	numeric	0%	-	0.05
`composition_religion_atheist_pct_synth`	atheist	numeric	0%	-	0.2
`composition_religion_unspecified_pct_synth`	unspecified	numeric	0%	-	6.9
`composition_ethnicity_moldovan_pct_synth`	Moldovan	numeric	0%	-	75.1
`composition_ethnicity_romanian_pct_synth`	Romanian	numeric	0%	-	7.0
`composition_ethnicity_ukrainian_pct_synth`	Ukrainian	numeric	0%	-	6.6
`composition_ethnicity_gagauz_pct_synth`	Gagauz	numeric	0%	-	4.6
`composition_ethnicity_russian_pct_synth`	Russian	numeric	0%	-	4.1
`composition_ethnicity_bulgarian_pct_synth`	Bulgarian	numeric	0%	-	1.9
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	0.8
`composition_ethnicity_primary_share_pct_synth`	Moldovan	numeric	0%	-	75.1

MDA OpenFactBook - Transportation — 1 rows, 20 columns

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Field details — 20 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	ER
`airports_numeric`	Airports count	float	SEL	0%	1	10.0
`country_code`	Country code	string	SEL	0%	1	MDA
`country_name`	Country name	string	SEL	0%	1	Moldova
`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
`airports_text`	airports_text	string	0%	1	10 (2025)
`heliports_text`	heliports_text	string	0%	1	1 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	1.0
`railways_total_text`	railways_total_text	string	0%	1	1,171 km (2014)
`railways_total_numeric`	railways_total_numeric	float	0%	1	1171.0
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	14 km (2014) 1.435-m gauge
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	14.0
`railways_broad_gauge_text`	railways_broad_gauge_text	string	0%	1	1,157 km (2014) 1.520-m gauge
`railways_broad_gauge_numeric`	railways_broad_gauge_numeric	float	0%	1	1157.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	75 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	75.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 1, container ship 1, general cargo 44, oil...
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	1.0
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	europe/md.json

MDA Glottolog Language Catalog MDA-GLOTTOLOG Language

10 rows · 1 table(s) Glottolog Language Catalog 0 1 2 3 1 SEL 12 CCL 3 ext ▶

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

0 Admin 0 — 1 table(s)

MDA Glottolog - Languages — 10 rows, 16 columns

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

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	10	balk1252, bulg1262, crim1257, east2295, gaga1249
`name`	Name	string	CCL	0%	10	Balkan Romani, Bulgarian, Crimean Tatar, Eastern Yiddish, Gagauz
`iso639_3`	Iso639 3	string	CCL	0%	10	rmn, bul, crh, ydd, gag
`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%	3	indo1319, indo1319, turk1311, indo1319, turk1311
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	9	roma1329, mace1252, crim1259, schl1237, west2406
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	10	['AL', 'AT', 'BA', 'BG', 'BY', 'CH', 'CZ', 'DE', 'FI',...
`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%	10	19, 22, 3, 12, 2

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	10	42.67, 43.3646, 45.0, 51.75, 44.59876
`longitude`	longitude	float	0%	10	21.17, 25.047, 34.08, 19.42, 28.02769
`classification`	classification	string	0%	1	[], [], [], [], []

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

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

MDA Nga Gns - Language — 8 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	MDA, MDA, MDA, MDA, MDA
`gns_language_code`	gns_language_code	string	CCL	0%	8	rus, ron, ukr, eng, deu
`gns_language_name`	gns_language_name	string	CCL	0%	8	Russian, Romanian, Ukrainian, English, German
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	6	5120, 2778, 86, 31, 2
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	6	63.8404, 34.6384, 1.0723, 0.3865, 0.0249
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	3	1917, 0, 17, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	2	Cyrl, , Cyrl, ,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	2	Cyrillic, , Cyrillic, ,
`gns_script_count`	gns_script_count	integer	CCL	0%	3	2, 0, 1, 0, 0

MDA 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	MDA
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Moldova
`gns_language_count`	gns_language_count	integer	CCL	0%	1	8
`gns_script_count`	gns_script_count	integer	CCL	0%	1	2
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.918
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	1934

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	9759
`gns_feature_count`	gns_feature_count	integer	0%	1	2421
`gns_endonym_count`	gns_endonym_count	integer	0%	1	9751
`gns_exonym_count`	gns_exonym_count	integer	0%	1	8
`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	7810
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	1801
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	667
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	217
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	87
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	39
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	830
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	208
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	157
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	61
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	190
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	86
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	18
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	9

MDA USAID DHS Program MDA-DHS Health Surveys

8 rows · 2 table(s) USAID DHS Program 0 1 2 3 6 SEL 3 CCL 10 ext ▶

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

1 Admin 1 — 2 table(s)

MDA DHS - Ethnicity Indicators — 4 rows, 8 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`women_who_are_literate`	Women who are literate	float	CCL	0%	4	99.7, 99.9, 99.5, 99.8
`men_who_are_literate`	Men who are literate	float	CCL	0%	4	99.3, 99.8, 99.6, 100.0

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	Moldova, Moldova, Moldova, Moldova
`survey_year`	survey_year	integer	0%	1	2005, 2005, 2005, 2005
`region`	region	string	0%	4	Center, Chisinau, North, South
`survey_id`	survey_id	string	0%	1	MB2005DHS, MB2005DHS, MB2005DHS, MB2005DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS

MDA DHS - Health Indicators — 4 rows, 11 columns

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

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`contraception_modern_pct`	Contraception modern percent	float	SEL	0%	4	29.6, 38.4, 31.4, 32.5
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	3	19.0, 18.0, 18.0, 31.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	4	27.0, 19.0, 22.0, 38.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	0%	4	81.8, 77.4, 81.2, 84.4
`children_underweight`	Children underweight	float	CCL	0%	4	4.5, 2.0, 2.2, 3.4

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	Moldova, Moldova, Moldova, Moldova
`survey_year`	survey_year	integer	0%	1	2005, 2005, 2005, 2005
`region`	region	string	0%	4	Center, Chisinau, North, South
`survey_id`	survey_id	string	0%	1	MB2005DHS, MB2005DHS, MB2005DHS, MB2005DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS

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

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

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

Locality Locality — 1 table(s)

MDA GHS-UCDB - Cities (locality) — 5 rows, 10 columns

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`city_name`	Admin name	string	SEL	0%	5	Chișinău, Tiraspol, Rybnitsa, Bender, Bălți
`country_code`	Country code	string	SEL	0%	1	MDA, MDA, MDA, MDA, MDA
`population`	Population count	integer	SEL	0%	5	450581, 92114, 68169, 65118, 53610

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	5	442, 729, 288, 590, 110
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Moldova, Moldova, Moldova, Moldova, Moldova
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

MDA Ethnic Power Relations Dataset MDA-EPR Political Ethnicity

4 rows · 1 table(s) Ethnic Power Relations Dataset 0 1 2 3 1 SEL 5 CCL 2 ext ▶

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

0 Admin 0 — 1 table(s)

MDA EPR - Groups — 4 rows, 8 columns

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

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	MDA, MDA, MDA, MDA
`ethnic_group_name`	Ethnic group name	string	CCL	0%	4	Moldovans, Russian speakers, Gagauz, Bulgarians
`ethnic_power_status`	Ethnic power status	string	CCL	0%	2	DOMINANT, POWERLESS, POWERLESS, POWERLESS
`ethnic_population_share`	Ethnic population share	float	CCL	0%	4	0.751, 0.107, 0.046, 0.019
`ethnic_group_id`	Ethnic group id	float	CCL	0%	4	35901000, 35903000, 35904000, 35905000
`regional_autonomy`	Regional autonomy	string	CCL	0%	3	, false, true, false

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	1	2021, 2021, 2021, 2021
`group_relevance`	group_relevance	string	0%	1	, , ,

MDA D-PLACE MDA-DPLACE Ethnographic Societies

1 rows · 1 table(s) D-PLACE 0 1 2 3 1 SEL 10 CCL 7 ext ▶

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

0 Admin 0 — 1 table(s)

MDA D-PLACE - Dplace Ea Societies — 1 rows, 18 columns

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Field details — 18 fields (type, nulls, unique, samples)

Standards-Aligned Fields (11)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	MDA
`society_id`	Society id	string	CCL	0%	1	ch25
`society_name`	Society name	string	CCL	0%	1	Moldovans
`language_glottocode`	Language glottocode	string	CCL	0%	1	mold1248
`language_name`	Language name	string	CCL	0%	1
`kinship_system`	Kinship system	string	CCL	0%	1	EA001:0; EA002:0; EA003:0; EA004:4; EA005:6
`marriage_pattern`	Marriage pattern	string	CCL	0%	1	EA006:7; EA007:6; EA008:1; EA009:1; EA010:10
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	1	EA028:5; EA029:6; EA030:7; EA031:7; EA032:2
`political_complexity`	Political complexity	string	CCL	0%	1	EA033:5; EA034:4; EA035:8
`religion_importance`	Religion importance	string	CCL	0%	1	EA034:4; EA112:NA
`residence_pattern`	Residence pattern	string	CCL	0%	1	EA011:1; EA012:10; EA013:9

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Moldova
`dataset`	dataset	string	0%	1	EA
`region`	region	string	0%	1
`latitude`	latitude	float	0%	1	47.0
`longitude`	longitude	float	0%	1	29.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon
`assignment_confidence`	assignment_confidence	string	0%	1	approximate

MDA Global Organized Crime Index MDA-OCINDEX Crime Index

1 rows · 1 table(s) GI-TOC / ENACT 0 1 2 3 ▶

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

0 Admin 0 — 1 table(s)

MDA Organized Crime Scores 2025 — 1 rows, 35 columns

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Field details — 35 fields (type, nulls, unique, samples)

Extension Fields (35) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`oc_anti_money_laundering`	oc_anti_money_laundering	numeric	0%	1	-
`oc_arms_trafficking`	oc_arms_trafficking	numeric	0%	1	-
`oc_cannabis_trade`	oc_cannabis_trade	numeric	0%	1	-
`oc_cocaine_trade`	oc_cocaine_trade	numeric	0%	1	-
`oc_criminal_actors`	oc_criminal_actors	numeric	0%	1	-
`oc_criminal_markets`	oc_criminal_markets	numeric	0%	1	-
`oc_criminal_networks`	oc_criminal_networks	numeric	0%	1	-
`oc_criminality`	oc_criminality	numeric	0%	1	-
`oc_cyber_dependent_crimes`	oc_cyber_dependent_crimes	numeric	0%	1	-
`oc_economic_regulatory_capacity`	oc_economic_regulatory_capacity	numeric	0%	1	-
`oc_extortion_and_protection_racketeering`	oc_extortion_and_protection_racketeering	numeric	0%	1	-
`oc_fauna_crimes`	oc_fauna_crimes	numeric	0%	1	-
`oc_financial_crimes`	oc_financial_crimes	numeric	0%	1	-
`oc_flora_crimes`	oc_flora_crimes	numeric	0%	1	-
`oc_foreign_actors`	oc_foreign_actors	numeric	0%	1	-
`oc_government_transparency_and_accountability`	oc_government_transparency_and_accountability	numeric	0%	1	-
`oc_heroin_trade`	oc_heroin_trade	numeric	0%	1	-
`oc_human_smuggling`	oc_human_smuggling	numeric	0%	1	-
`oc_human_trafficking`	oc_human_trafficking	numeric	0%	1	-
`oc_illicit_trade_in_excisable_goods`	oc_illicit_trade_in_excisable_goods	numeric	0%	1	-
`oc_international_cooperation`	oc_international_cooperation	numeric	0%	1	-
`oc_judicial_system_and_detention`	oc_judicial_system_and_detention	numeric	0%	1	-
`oc_law_enforcement`	oc_law_enforcement	numeric	0%	1	-
`oc_mafia_style_groups`	oc_mafia_style_groups	numeric	0%	1	-
`oc_national_policies_and_laws`	oc_national_policies_and_laws	numeric	0%	1	-
`oc_non_renewable_resource_crimes`	oc_non_renewable_resource_crimes	numeric	0%	1	-
`oc_non_state_actors`	oc_non_state_actors	numeric	0%	1	-
`oc_political_leadership_and_governance`	oc_political_leadership_and_governance	numeric	0%	1	-
`oc_prevention`	oc_prevention	numeric	0%	1	-
`oc_private_sector_actors`	oc_private_sector_actors	numeric	0%	1	-
+5 more extension fields — download the CSV/Parquet to see them all.

MDA World Values Survey MDA-WVS Attitudes Values

1 rows · 1 table(s) World Values Survey 0 1 2 3 1 SEL 25 ext ▶

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

0 Admin 0 — 1 table(s)

MDA WVS - Country Aggregates — 1 rows, 26 columns

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Field details — 26 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	MDA

Extension Fields (25) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`wave`	wave	integer	0%	1	7
`wave_years`	wave_years	string	0%	1	2017-2022
`source`	source	string	0%	1	World Values Survey
`importance_religion`	importance_religion	integer	0%	1	1
`importance_family`	importance_family	integer	0%	1	1
`importance_friends`	importance_friends	integer	0%	1	1
`trust_people`	trust_people	integer	0%	1	1
`trust_family`	trust_family	integer	0%	1	1
`life_satisfaction`	life_satisfaction	integer	0%	1	1
`happiness`	happiness	integer	0%	1	1
`freedom_choice`	freedom_choice	integer	0%	1	1
`gender_jobs_scarce`	gender_jobs_scarce	integer	0%	1	1
`gender_political_leaders`	gender_political_leaders	integer	0%	1	1
`gender_university`	gender_university	integer	0%	1	1
`justifiable_divorce`	justifiable_divorce	integer	0%	1	1
`justifiable_homosexuality`	justifiable_homosexuality	integer	0%	1	1
`immigration_policy`	immigration_policy	integer	0%	1	1
`immigrants_jobs`	immigrants_jobs	integer	0%	1	1
`immigrants_culture`	immigrants_culture	integer	0%	1	1
`confidence_government`	confidence_government	integer	0%	1	1
`confidence_parliament`	confidence_parliament	integer	0%	1	1
`confidence_police`	confidence_police	integer	0%	1	1
`confidence_courts`	confidence_courts	integer	0%	1	1
`confidence_press`	confidence_press	integer	0%	1	1
`democracy_importance`	democracy_importance	integer	0%	1	1

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Language	Place names	Share	Script
Russian (rus)	5,120	63.8%	Cyrillic
Romanian (ron)	2,778	34.6%	—
Ukrainian (ukr)	86	1.1%	Cyrillic
English (eng)	31	0.4%	—

Source	Type	Access
National Bureau of Statistics (BNS)	official_nso	api
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
World Values Survey	academic	metadata_catalog
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
Ethnic Power Relations Dataset	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
USAID DHS Program (US Agency for International Development · Demographic and Health Surveys)	international_organization	api
NGA GEOnet Names Server (GNS)	official_government	bulk_download
Global Data Lab	academic	api
Glottolog Language Catalog	academic	bulk_download
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