Dominican Rep.

DOM Global Data Lab DOM-GDL Development Indices

340 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)

DOM GDL - Subnational Indices — 340 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	DOM, DOM, DOM, DOM, DOM
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	10	Total, Region 0 (Distrito Nacional, Santo Domingo, Monte...
`human_development_index`	Human development index	float	SEL	0%	79	0.624, 0.677, 0.613, 0.627, 0.583
`health_index`	Health index	float	SEL	0%	70	0.735, 0.753, 0.745, 0.761, 0.749
`education_index`	Education index	float	SEL	0%	77	0.516, 0.592, 0.496, 0.501, 0.45
`income_index`	Income index	float	SEL	0%	84	0.641, 0.697, 0.623, 0.647, 0.59
`life_expectancy`	Life expectancy	float	SEL	0%	95	67.75, 68.94, 68.46, 69.46, 68.67
`mean_years_schooling`	Mean years schooling	float	SEL	0%	100	7.744, 9.61, 6.992, 7.598, 6.023

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	10	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

DOM USAID DHS Program DOM-DHS Health Surveys

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

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1 Admin 1 — 2 table(s)

DOM DHS - Ethnicity Indicators — 59 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%	49	80.9, 73.1, 85.0, 85.7, 95.4
`men_who_are_literate`	Men who are literate	float	CCL	0%	51	74.8, 74.3, 83.0, 81.9, 95.9

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	Dominican Republic, Dominican Republic, Dominican...
`survey_year`	survey_year	integer	0%	3	2007, 2007, 2007, 2007, 2007
`region`	region	string	0%	41	Azua, Bahoruco, Barahona, Dajabón, Distrito Nacional
`survey_id`	survey_id	string	0%	3	DR2007DHS, DR2007DHS, DR2007DHS, DR2007DHS, DR2007DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

DOM DHS - Health Indicators — 91 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%	76	51.7, 49.6, 52.4, 58.0, 46.0
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	9%	46	35.0, 45.0, 40.0, 30.0, 40.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	9%	48	39.0, 60.0, 44.0, 38.0, 43.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	9%	70	49.2, 47.2, 57.9, 54.6, 50.6
`children_underweight`	Children underweight	float	CCL	18%	46	7.2, 4.0, 5.4, 4.1, 1.9

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	Dominican Republic, Dominican Republic, Dominican...
`survey_year`	survey_year	integer	0%	7	2007, 2007, 2007, 2007, 2007
`region`	region	string	0%	41	Azua, Bahoruco, Barahona, Dajabón, Distrito Nacional
`survey_id`	survey_id	string	0%	7	DR2007DHS, DR2007DHS, DR2007DHS, DR2007DHS, DR2007DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

DOM UNHCR Refugee Data Finder DOM-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)

DOM 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%	-	-

DOM 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%	-	-

DOM World Bank Open Data DOM-WORLD_BANK Development Indicators

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

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

0 Admin 0 — 2 table(s)

DOM 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	DO, DO, DO, DO, DO
`population_count`	Population count	float	SEL	2%	65	3268336.0, 3373233.0, 3479936.0, 3588287.0, 3698559.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	51.705, 52.447, 53.199, 53.754, 54.653
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	205.731509857004, 193.908988795022, 236.814700040461,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	73%	18	73.0599975585938, 87.0, 88.2399978637695,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	59	147.5, 146.4, 144.8, 142.9, 140.6
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	86%	9	34.8, 31.2, 28.3, 25.8, 30.4

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	Dominican Republic, Dominican Republic, Dominican...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

DOM 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	DO, DO, DO, DO, DO
`life_expectancy`	Life expectancy	float	SEL	3%	64	51.705, 52.447, 53.199, 53.754, 54.653
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	8%	41	40.8, 40.7, 40.5, 40.4, 40.4
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	59	147.5, 146.4, 144.8, 142.9, 140.6
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	35	249.0, 241.0, 231.0, 221.0, 213.0
`fertility_rate`	Fertility rate	float	SEL	3%	63	7.555, 7.487, 7.404, 7.303, 7.186
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	52.019, 51.158, 50.196, 49.176, 48.1
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	61	16.115, 15.49, 14.857, 14.342, 13.626
`physicians_per_1000`	Physicians per 1000	float	SEL	73%	18	0.121, 0.588, 0.435, 0.564, 1.074
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	65%	20	2.32869076728821, 2.63940000534058, 2.50149989128113,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	25	36.0, 27.0, 28.0, 29.0, 34.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	4.88427496, 4.88183308, 4.98649025, 4.38888264, 4.2877388

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	Dominican Republic, Dominican Republic, Dominican...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

DOM LandScan Global (ORNL) DOM-LANDSCAN Modeled Population

50 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)

DOM 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	DOM
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Dominican Republic
`admin_code`	Admin code	string	SEL	0%	1	20870125B27814723728881
`area_sqkm`	Area sqkm	float	SEL	0%	1	48091.1771
`pop_2024`	Population count	integer	SEL	0%	1	10733454
`pop_density_2024`	Population density	float	SEL	0%	1	223.19

1 Admin 1 — 1 table(s)

DOM LandScan - Population Admin1 (admin_1) — 32 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	DOM, DOM, DOM, DOM, DOM
`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%	32	Santo Domingo, Santiago, Distrito Nacional, San...
`admin_code`	Admin code	string	SEL	0%	32	93820187B48877163432622, 93820187B32752500382745,...
`area_sqkm`	Area sqkm	float	SEL	0%	32	1260.4267, 2789.0036, 77.6653, 1201.2935, 3190.1448
`pop_2024`	Population count	integer	SEL	0%	32	2605729, 1072217, 1023615, 677925, 442872
`pop_density_2024`	Population density	float	SEL	0%	32	2067.34, 384.44, 13179.82, 564.33, 138.83

Locality Locality — 1 table(s)

DOM LandScan - Cities (locality) — 17 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	DOM, DOM, DOM, DOM, DOM
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	17	Santo Domingo, Santiago de los Caballeros, La Romana,...
`admin_code`	Admin code	integer	SEL	0%	17	1667, 798, 1847, 1933, 1759
`area_sqkm`	Area sqkm	float	SEL	0%	17	480.4153, 116.3898, 36.8016, 24.8656, 30.8337
`pop_2024`	Population count	integer	SEL	0%	17	3714074, 695722, 238935, 219783, 214576
`pop_density_2024`	Population density	float	SEL	0%	17	7730.97, 5977.52, 6492.52, 8838.84, 6959.14

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%	17	4593164, 678296, 248412, 140438, 240203
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	17	0.809, 1.026, 0.962, 1.565, 0.893

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

43 rows · 3 table(s) HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 15 SEL ▶

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0 Admin 0 — 1 table(s)

DOM Cod Ps - Dom Codps (admin_0) — 1 rows, 59 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	1	DO
`region_name`	Region name	string	SEL	0%	1	Dominican Republic
`F_TL`	Female population	integer	SEL	0%	1	368698
`M_TL`	Male population	integer	SEL	0%	1	381850
`T_TL`	Total population	integer	SEL	0%	1	750548

Pending (54) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2023
`year`	year	integer	0%	1	2023
`F_00_04`	Female population age 0-4	integer	0%	1	35122
`F_05_09`	Female population age 5-9	integer	0%	1	35789
`F_10_14`	Female population age 10-14	integer	0%	1	35176
`F_15_19`	Female population age 15-19	integer	0%	1	32887
`F_20_24`	Female population age 20-24	integer	0%	1	31452
`F_25_29`	Female population age 25-29	integer	0%	1	29867
`F_30_34`	Female population age 30-34	integer	0%	1	27902
`F_35_39`	Female population age 35-39	integer	0%	1	26424
`F_40_44`	Female population age 40-44	integer	0%	1	24565
`F_45_49`	Female population age 45-49	integer	0%	1	21437
`F_50_54`	Female population age 50-54	integer	0%	1	18103
`F_55_59`	Female population age 55-59	integer	0%	1	14650
`F_60_64`	Female population age 60-64	integer	0%	1	11787
`F_65_69`	Female population age 65-69	integer	0%	1	8825
`F_70_74`	Female population age 70-74	integer	0%	1	6100
`F_75_79`	Female population age 75-79	integer	0%	1	3975
`F_80Plus`	F_80Plus	integer	0%	1	4637
`M_00_04`	Male population age 0-4	integer	0%	1	36632
`M_05_09`	Male population age 5-9	integer	0%	1	37289
`M_10_14`	Male population age 10-14	integer	0%	1	36238
`M_15_19`	Male population age 15-19	integer	0%	1	33046
`M_20_24`	Male population age 20-24	integer	0%	1	31060
`M_25_29`	Male population age 25-29	integer	0%	1	29560
`M_30_34`	Male population age 30-34	integer	0%	1	28425
`M_35_39`	Male population age 35-39	integer	0%	1	28385
`M_40_44`	Male population age 40-44	integer	0%	1	26977
`M_45_49`	Male population age 45-49	integer	0%	1	23092
+24 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

DOM Cod Ps - Dom Codps (admin_1) — 10 rows, 59 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	10	DO01, DO02, DO03, DO04, DO05
`region_name`	Region name	string	SEL	0%	10	Región Cibao Nordeste, Región Cibao Noroeste, Región...
`F_TL`	Female population	integer	SEL	0%	10	317700, 204212, 825440, 364976, 131014
`M_TL`	Male population	integer	SEL	0%	10	330621, 218939, 817685, 377998, 149441
`T_TL`	Total population	integer	SEL	0%	10	648321, 423151, 1643125, 742974, 280455

Pending (54) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	Reference year	integer	0%	1	2023, 2023, 2023, 2023, 2023
`year`	year	integer	0%	1	2023, 2023, 2023, 2023, 2023
`F_00_04`	Female population age 0-4	integer	0%	10	25382, 17513, 63245, 29543, 13444
`F_05_09`	Female population age 5-9	integer	0%	10	26262, 18559, 64373, 30414, 14494
`F_10_14`	Female population age 10-14	integer	0%	10	26451, 18888, 65596, 31084, 13842
`F_15_19`	Female population age 15-19	integer	0%	10	26292, 17595, 67949, 31015, 11580
`F_20_24`	Female population age 20-24	integer	0%	10	26054, 15780, 68439, 29954, 10078
`F_25_29`	Female population age 25-29	integer	0%	10	25226, 15510, 65793, 29350, 9681
`F_30_34`	Female population age 30-34	integer	0%	10	23942, 14982, 63208, 27818, 8314
`F_35_39`	Female population age 35-39	integer	0%	10	21827, 13778, 59336, 24764, 6706
`F_40_44`	Female population age 40-44	integer	0%	10	20230, 12529, 55414, 22596, 6158
`F_45_49`	Female population age 45-49	integer	0%	10	18658, 11427, 51877, 21223, 5835
`F_50_54`	Female population age 50-54	integer	0%	10	16825, 10440, 47647, 19608, 5853
`F_55_59`	Female population age 55-59	integer	0%	10	15239, 9485, 42226, 17835, 5589
`F_60_64`	Female population age 60-64	integer	0%	10	13400, 8182, 34149, 14853, 5094
`F_65_69`	Female population age 65-69	integer	0%	10	10900, 6628, 26337, 11824, 4660
`F_70_74`	Female population age 70-74	integer	0%	10	8209, 5037, 19898, 9055, 3806
`F_75_79`	Female population age 75-79	integer	0%	10	5730, 3436, 13361, 6248, 2703
`F_80Plus`	F_80Plus	integer	0%	10	7073, 4443, 16592, 7792, 3177
`M_00_04`	Male population age 0-4	integer	0%	10	26478, 18273, 66013, 30834, 14018
`M_05_09`	Male population age 5-9	integer	0%	10	27401, 19289, 66975, 31681, 15139
`M_10_14`	Male population age 10-14	integer	0%	10	27791, 19471, 67965, 32158, 14977
`M_15_19`	Male population age 15-19	integer	0%	10	27870, 18431, 69483, 32606, 13551
`M_20_24`	Male population age 20-24	integer	0%	10	27681, 16968, 68690, 31985, 12411
`M_25_29`	Male population age 25-29	integer	0%	10	26925, 16825, 65505, 30973, 12100
`M_30_34`	Male population age 30-34	integer	0%	10	25331, 16699, 62322, 29493, 10450
`M_35_39`	Male population age 35-39	integer	0%	10	23027, 15664, 58266, 26195, 8263
`M_40_44`	Male population age 40-44	integer	0%	10	20954, 14204, 54009, 23626, 7319
`M_45_49`	Male population age 45-49	integer	0%	10	18902, 12595, 50338, 21701, 6879
+24 more pending fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

DOM Cod Ps - Dom Codps (admin_2) — 32 rows, 59 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	32	DO0101, DO0102, DO0103, DO0104, DO0201
`region_name`	Region name	string	SEL	0%	32	Duarte, Hermanas Mirabal, María Trinidad Sánchez, Samaná, Dajabón
`F_TL`	Female population	integer	SEL	0%	32	148419, 45125, 68572, 55584, 32555
`M_TL`	Male population	integer	SEL	0%	32	152557, 46726, 72113, 59225, 34549
`T_TL`	Total population	integer	SEL	0%	32	300976, 91851, 140685, 114809, 67104

Pending (54) — 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`	Reference year	integer	0%	1	2023, 2023, 2023, 2023, 2023
`year`	year	integer	0%	1	2023, 2023, 2023, 2023, 2023
`F_00_04`	Female population age 0-4	integer	0%	32	11670, 3550, 5306, 4856, 2843
`F_05_09`	Female population age 5-9	integer	0%	32	11931, 3748, 5475, 5108, 3027
`F_10_14`	Female population age 10-14	integer	0%	32	12008, 3684, 5651, 5108, 3092
`F_15_19`	Female population age 15-19	integer	0%	32	12305, 3464, 5739, 4784, 2929
`F_20_24`	Female population age 20-24	integer	0%	32	12473, 3492, 5561, 4528, 2592
`F_25_29`	Female population age 25-29	integer	0%	32	11948, 3377, 5431, 4470, 2538
`F_30_34`	Female population age 30-34	integer	0%	32	11110, 3245, 5292, 4295, 2379
`F_35_39`	Female population age 35-39	integer	0%	32	10091, 2956, 4845, 3935, 2007
`F_40_44`	Female population age 40-44	integer	0%	32	9388, 2777, 4430, 3635, 1760
`F_45_49`	Female population age 45-49	integer	0%	32	8789, 2611, 4035, 3223, 1625
`F_50_54`	Female population age 50-54	integer	0%	32	7937, 2473, 3593, 2822, 1554
`F_55_59`	Female population age 55-59	integer	0%	32	7284, 2316, 3252, 2387, 1476
`F_60_64`	Female population age 60-64	integer	0%	32	6361, 2077, 2924, 2038, 1324
`F_65_69`	Female population age 65-69	integer	0%	32	5143, 1720, 2463, 1574, 1130
`F_70_74`	Female population age 70-74	integer	0%	32	3868, 1343, 1863, 1135, 878
`F_75_79`	Female population age 75-79	integer	0%	32	2676, 979, 1269, 806, 601
`F_80Plus`	F_80Plus	integer	0%	32	3437, 1313, 1443, 880, 800
`M_00_04`	Male population age 0-4	integer	0%	32	12176, 3703, 5533, 5066, 2968
`M_05_09`	Male population age 5-9	integer	0%	32	12434, 3922, 5722, 5323, 3157
`M_10_14`	Male population age 10-14	integer	0%	32	12454, 3911, 6069, 5357, 3203
`M_15_19`	Male population age 15-19	integer	0%	32	12806, 3789, 6215, 5060, 3120
`M_20_24`	Male population age 20-24	integer	0%	32	13107, 3743, 5960, 4871, 2911
`M_25_29`	Male population age 25-29	integer	0%	32	12518, 3627, 5983, 4797, 2863
`M_30_34`	Male population age 30-34	integer	0%	32	11727, 3466, 5562, 4576, 2654
`M_35_39`	Male population age 35-39	integer	0%	32	10616, 3105, 5048, 4258, 2056
`M_40_44`	Male population age 40-44	integer	0%	32	9584, 2845, 4580, 3945, 1774
`M_45_49`	Male population age 45-49	integer	0%	32	8766, 2696, 4023, 3417, 1604
+24 more pending fields — download the CSV/Parquet to see them all.

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

30 rows · 1 table(s) Google 0 1 2 3 3 SEL 8 ext ▶

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

1 Admin 1 — 1 table(s)

DOM Mobility by Region — 30 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	DO, DO, DO, DO, DO
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	DOM, DOM, DOM, DOM, DOM

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

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	25	-10.87, 0.0, -10.82, -1.71, -23.1
`grocery`	grocery	float	0%	26	-3.48, 0.0, -3.14, 0.0, -3.8
`parks`	parks	float	0%	29	9.99, -18.04, -17.34, 0.0, -27.3
`transit`	transit	float	0%	16	0.0, 0.0, -0.16, 0.0, -22.8
`workplaces`	workplaces	float	0%	30	-30.43, -30.77, -20.12, -28.37, -22.85
`residential`	residential	float	0%	21	2.56, 0.0, 2.1, 0.0, 10.17
`region`	region	string	0%	30	Azua Province, Baoruco Province, Barahona Province,...
`observation_count`	observation_count	integer	0%	9	949, 949, 949, 818, 974

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

17 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)

DOM GHS-UCDB - Cities (locality) — 17 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%	17	Santo Domingo, Santiago de los Caballeros, La Romana,...
`country_code`	Country code	string	SEL	0%	1	DOM, DOM, DOM, DOM, DOM
`population`	Population count	integer	SEL	0%	17	4593164, 678296, 248412, 240203, 183845

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	17	1667, 798, 1847, 1759, 1473
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Dominican Republic, Dominican Republic, Dominican...
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

DOM OpenFactBook DOM-OPENFACTBOOK Country Profile

15 rows · 15 table(s) OpenFactBook 0 1 2 3 96 SEL 1 CCL 608 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 — 15 table(s)

DOM 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	10.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	94.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.do
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	85.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	11.0
`country_code`	Country code	string	SEL	0%	1	DOM
`country_name`	Country name	string	SEL	0%	1	The Dominican
`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	1.15 million (2024 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	1.15
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	10 (2024 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	10.7 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	10.7
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	94 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	combination of state-owned and privately owned broadcast...
`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	85% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	1.26 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	1.26
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	11 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/dr.json

DOM OpenFactBook - Economy — 1 rows, 157 columns

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Field details — 157 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	24200.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	124.282
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	23.0
`country_code`	Country code	string	SEL	0%	1	DOM
`country_name`	Country name	string	SEL	0%	1	The Dominican
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (151) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	surging middle-income tourism, construction, mining, and...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$276.884 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	276.884
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$263.82 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	263.82
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$258.16 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	258.16
`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	5% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	5.0
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	2.2% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	2.2
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	5.2% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	5.2
`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	$24,200 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$23,300 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	23300.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$23,000 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	23000.0
`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	$124.282 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	3.3% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	3.3
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	4.8% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	4.8
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	8.8% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	8.8
`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	4.5% (2024 est.)
+121 more extension fields — download the CSV/Parquet to see them all.

DOM 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	98.1
`country_code`	Country code	string	SEL	0%	1	DOM
`country_name`	Country name	string	SEL	0%	1	The Dominican
`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	98.1% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	98.8%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	98.8
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	95%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	95.0
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	6.581 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	6.581
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	22.193 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	22.193
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	2.369 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	2.369
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	82.7% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	82.7
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	5.5% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	5.5
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	4.9% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	4.9
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	6% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	6.0
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	0.9% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	0.9
`coal_consumption_text`	coal_consumption_text	string	0%	1	2.356 million metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	2.356
`coal_imports_text`	coal_imports_text	string	0%	1	2.356 million metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	2.356
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	146,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	146000.0
`natural_gas_consumption_text`	natural_gas_consumption_text	string	0%	1	2.277 billion cubic meters (2023 est.)
`natural_gas_consumption_numeric`	natural_gas_consumption_numeric	float	0%	1	2.277
`natural_gas_exports_text`	natural_gas_exports_text	string	0%	1	1.997 million cubic meters (2023 est.)
+7 more extension fields — download the CSV/Parquet to see them all.

DOM 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	55.4
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	46.6
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	84.4
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.64
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	4.064
`country_code`	Country code	string	SEL	0%	1	DOM
`country_name`	Country name	string	SEL	0%	1	The Dominican
`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 eroding into the sea damages coral reefs; deforestation
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Biodiversity, Climate Change, Climate Change-Kyoto...
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	none of the selected agreements
`climate_text`	climate_text	string	0%	1	tropical maritime; little seasonal temperature...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	55.4% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 20.2% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	20.2
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 11.3% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	11.3
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 23.8% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	23.8
`land_use_forest_text`	land_use_forest_text	string	0%	1	46.6% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	0% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	0.0
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	84.4% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.64% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	29.713 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	29.713
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	5.374 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	5.374
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	19.872 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	19.872
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	4.467 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	4.467
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	8 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	8.0
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	4.064 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	11.6% (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	11.6
`total_water_withdrawal_municipal_text`	total_water_withdrawal_municipal_text	string	0%	1	855 million cubic meters (2022 est.)
+9 more extension fields — download the CSV/Parquet to see them all.

DOM 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	DOM
`country_name`	Country name	string	SEL	0%	1	The Dominican
`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	Dominican(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Dominican
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	mixed 70.4% (Mestizo/Indio 58%, Mulatto 12.4%), Black...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	70.4
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/dr.json

DOM OpenFactBook - Geography — 1 rows, 59 columns

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Field details — 59 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	48670.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	48320.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	350.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	376.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	1288.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	3098.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	-46.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	55.4
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	46.6
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	2981.0
`country_code`	Country code	string	SEL	0%	1	DOM
`country_name`	Country name	string	SEL	0%	1	The Dominican
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (46) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Caribbean, eastern two-thirds of the island of...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	19 00 N, 70 40 W
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	19.0
`map_references_text`	map_references_text	string	0%	1	Central America and the Caribbean
`area_total_text`	area_total_text	string	0%	1	48,670 sq km
`area_land_text`	area_land_text	string	0%	1	48,320 sq km
`area_water_text`	area_water_text	string	0%	1	350 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly more than twice the size of New Jersey
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	376 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Haiti 376 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	376.0
`coastline_text`	coastline_text	string	0%	1	1,288 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
`maritime_claims_note`	maritime_claims_note	string	0%	1	note: measured from claimed archipelagic straight baselines
`climate_text`	climate_text	string	0%	1	tropical maritime; little seasonal temperature...
`terrain_text`	terrain_text	string	0%	1	rugged highlands and mountains interspersed with fertile valleys
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Pico Duarte 3,098 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Lago Enriquillo -46 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	424 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	424.0
`natural_resources_text`	natural_resources_text	string	0%	1	nickel, bauxite, gold, silver, arable land
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	55.4% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 20.2% (2023 est.)
+16 more extension fields — download the CSV/Parquet to see them all.

DOM OpenFactBook - Government — 1 rows, 122 columns

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Field details — 122 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	DOM
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name_conventional_long_form_text`	country_name_conventional_long_form_text	string	0%	1	Dominican Republic
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	The Dominican
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	República Dominicana
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	La Dominicana
`country_name_former_text`	country_name_former_text	string	0%	1	Santo Domingo (the capital city's name formerly applied...
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the name is a latinized form of the Spanish term Santo...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	1496.0
`government_type_text`	government_type_text	string	0%	1	presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Santo Domingo
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	18 28 N, 69 54 W
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	18.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC-4 (1 hour ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	-4.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	named after Saint Domingo de GUZMAN (1170-1221), founder...
`capital_etymology_numeric`	capital_etymology_numeric	float	0%	1	1170.0
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	31 provinces (provincias, singular - provincia), 1...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	31.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system based on the French civil code;...
`legal_system_numeric`	legal_system_numeric	float	0%	1	2004.0
`constitution_history_text`	constitution_history_text	string	0%	1	many previous (38 total); latest proclaimed 13 June 2015
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	38.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by a special session of the National Congress...
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	accepts compulsory ICJ jurisdiction; accepts ICCt jurisdiction
`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 the Dominican Republic
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	yes
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	2 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	2.0
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal and compulsory; married...
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
+90 more extension fields — download the CSV/Parquet to see them all.

DOM 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	DOM
`country_name`	Country name	string	SEL	0%	1	The Dominican
`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	The Taino -- indigenous inhabitants of Hispaniola prior...
`background_numeric`	background_numeric	float	0%	1	1492.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/dr.json

DOM OpenFactBook - Languages — 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	DOM
`country_name`	Country name	string	SEL	0%	1	The Dominican
`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
`languages_languages_text`	Languages (text)	string	0%	1	Spanish (official)
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	La Libreta Informativa del Mundo, la fuente...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/dr.json

DOM OpenFactBook - Migration — 1 rows, 9 columns

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

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	1,004 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	1004.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	390 (2023 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	390.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/dr.json

DOM 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	DOM
`country_name`	Country name	string	SEL	0%	1	The Dominican
`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 Dominican Republic: Army of the...
`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	0.8% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	0.8
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	0.7% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	0.7
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	0.7% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	0.7
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	0.7% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	0.7
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	0.8% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	0.8
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 55-60,000 Armed Forces; up to 35,000...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	55.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the military's equipment inventory comes largely from...
`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	17-early 20s for voluntary military service for men and...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	17.0
`military_note_text`	military_note_text	string	0%	1	the military is responsible for defending the...
`military_note_numeric`	military_note_numeric	float	0%	1	217.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/dr.json

DOM OpenFactBook - People And Society — 1 rows, 150 columns

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Field details — 150 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	10899292.0
`population_male_numeric`	Population male	float	SEL	0%	1	5506679.0
`population_female_numeric`	Population female	float	SEL	0%	1	5392613.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	25.5
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	66.9
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	7.6
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	49.6
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	37.8
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	11.8
`median_age_total_numeric`	Median age	float	SEL	0%	1	29.6
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.78
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	17.4
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	6.97
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-2.63
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	84.4
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.64
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.04
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	1.02
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	124.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	20.8
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	72.6
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	2.17
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	1.06
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	2.43
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	1.4
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	94.0
`country_code`	Country code	string	SEL	0%	1	DOM
`country_name`	Country name	string	SEL	0%	1	The Dominican
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (121) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	10,899,292 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	5,506,679
`population_female_text`	population_female_text	string	0%	1	5,392,613
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	25.5% (male 1,402,847/female 1,358,833)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	66.9% (male 3,667,584/female 3,563,848)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	7.6% (2024 est.) (male 395,345/female 427,400)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	49.6 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	37.8 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	11.8 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	8.5 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	8.5
`median_age_total_text`	median_age_total_text	string	0%	1	29.6 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	29.1 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	29.1
`median_age_female_text`	median_age_female_text	string	0%	1	29.4 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	29.4
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.78% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	17.4 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	6.97 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-2.63 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	coastal development is significant, especially in the...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	84.4% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.64% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	3.524 million SANTO DOMINGO (capital) (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	3.524
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.04 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.03 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.03
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	1.03 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	1.03
+91 more extension fields — download the CSV/Parquet to see them all.

DOM OpenFactBook - Religions — 1 rows, 19 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	DOM
`country_name`	Country name	string	SEL	0%	1	The Dominican
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_ethnicity_primary_label_synth`	mixed	string	CCL	0%	-	mixed

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	Evangelical 50.2%, Roman Catholic 30.1%, none 18.5%,...
`religions_numeric`	religions_numeric	float	0%	1	50.2
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/dr.json

Pending (11) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_evangelical_pct_synth`	Evangelical	numeric	0%	-	50.2
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	30.1
`composition_religion_none_pct_synth`	none	numeric	0%	-	18.5
`composition_religion_unspecified_pct_synth`	unspecified	numeric	0%	-	1.2
`composition_ethnicity_mixed_pct_synth`	mixed	numeric	0%	-	70.4
`composition_ethnicity_mixed__mestizo_indio_pct_synth`	Mestizo/Indio	numeric	0%	-	58.0
`composition_ethnicity_mixed__mulatto_pct_synth`	Mulatto	numeric	0%	-	12.4
`composition_ethnicity_black_pct_synth`	Black	numeric	0%	-	15.8
`composition_ethnicity_white_pct_synth`	White	numeric	0%	-	13.5
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	0.3
`composition_ethnicity_primary_share_pct_synth`	mixed	numeric	0%	-	70.4

DOM OpenFactBook - Transnational Issues — 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	DOM
`country_name`	Country name	string	SEL	0%	1	The Dominican
`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 country (2025)
`illicit_drugs_usg_identification_numeric`	illicit_drugs_usg_identification_numeric	float	0%	1	2025.0
`source_section`	source_section	string	0%	1	Transnational Issues
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/dr.json

DOM OpenFactBook - Transportation — 1 rows, 35 columns

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Field details — 35 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	HI
`airports_numeric`	Airports count	float	SEL	0%	1	32.0
`country_code`	Country code	string	SEL	0%	1	DOM
`country_name`	Country name	string	SEL	0%	1	The Dominican
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (30) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`airports_text`	airports_text	string	0%	1	32 (2025)
`heliports_text`	heliports_text	string	0%	1	8 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	8.0
`railways_total_text`	railways_total_text	string	0%	1	496 km (2014)
`railways_total_numeric`	railways_total_numeric	float	0%	1	496.0
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	354 km (2014) 1.435-m gauge
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	354.0
`railways_narrow_gauge_text`	railways_narrow_gauge_text	string	0%	1	142 km (2014) 0.762-m gauge
`railways_narrow_gauge_numeric`	railways_narrow_gauge_numeric	float	0%	1	142.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	40 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	40.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	container ship 1, general cargo 2, oil tanker 1, other 36
`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	17 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	17.0
`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	2
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	2.0
`ports_small_text`	ports_small_text	float	0%	1	7
`ports_small_numeric`	ports_small_numeric	float	0%	1	7.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	6
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	6.0
`ports_size_unknown_text`	ports_size_unknown_text	float	0%	1	2
`ports_size_unknown_numeric`	ports_size_unknown_numeric	float	0%	1	2.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	7
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	7.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Andres (Andres Lng Terminal), Las Calderas, Puerto de...
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/dr.json

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

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

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

0 Admin 0 — 2 table(s)

DOM 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	DOM, DOM, DOM, DOM
`gns_language_code`	gns_language_code	string	CCL	0%	4	spa, fra, eng, hat
`gns_language_name`	gns_language_name	string	CCL	0%	4	Spanish, French, English, Haitian; Haitian Creole
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	4	1770, 14, 4, 1
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	4	98.938, 0.7826, 0.2236, 0.0559
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	0, 0, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	1	, , ,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	1	, , ,
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0, 0, 0, 0

DOM Nga Gns - Summary — 1 rows, 29 columns

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	DOM
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Dominican Republic
`gns_language_count`	gns_language_count	integer	CCL	0%	1	4
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9834
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

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

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	30141
`gns_feature_count`	gns_feature_count	integer	0%	1	22593
`gns_endonym_count`	gns_endonym_count	integer	0%	1	30136
`gns_exonym_count`	gns_exonym_count	integer	0%	1	5
`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	12726
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	9067
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	261
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	146
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	5215
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	3985
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	8820
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	6569
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	2806
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	2577
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	196
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	154
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	107
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	88
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	10
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	7

DOM Glottolog Language Catalog DOM-GLOTTOLOG Language

4 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)

DOM Glottolog - Languages — 4 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%	4	domi1236, hait1244, stan1288, stan1293
`name`	Name	string	CCL	0%	4	Dominican Sign Language, Haitian, Spanish, English
`iso639_3`	Iso639 3	string	CCL	0%	4	doq, hat, spa, eng
`level`	Level	string	CCL	0%	1	language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	0%	2	sign1238, indo1319, indo1319, indo1319
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	4	amer1258, circ1240, cast1243, macr1271
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	4	['DO'], ['DO', 'HT'], ['AD', 'AR', 'BO', 'BR', 'BZ',...
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	4	0, 2, 38, 114

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	4	18.8798, 18.795135, 40.4414, 53.0
`longitude`	longitude	float	0%	4	-71.1722, -72.136115, -1.11788, -1.0
`classification`	classification	string	0%	1	[], [], [], []

DOM Ethnic Power Relations Dataset DOM-EPR Political Ethnicity

2 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)

DOM EPR - Groups — 2 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	DOM, DOM
`ethnic_group_name`	Ethnic group name	string	CCL	0%	2	Dominicans, Dominican Haitians
`ethnic_power_status`	Ethnic power status	string	CCL	0%	2	MONOPOLY, DISCRIMINATED
`ethnic_population_share`	Ethnic population share	float	CCL	0%	2	0.93, 0.023
`ethnic_group_id`	Ethnic group id	float	CCL	0%	2	4201000, 4202000
`regional_autonomy`	Regional autonomy	string	CCL	0%	2	, 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
`group_relevance`	group_relevance	string	0%	1	,

DOM Global Organized Crime Index DOM-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)

DOM 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.

HERA · Human Entity Reference Atlas by Masego Inc

Dominican Rep.

Build a download

Language	Place names	Share	Script
Spanish (spa)	1,770	98.9%	—
French (fra)	14	0.8%	—
English (eng)	4	0.2%	—
Haitian; Haitian Creole (hat)	1	0.1%	—

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
Global Data Lab	academic	api
Google	commercial	bulk_download
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
World Bank Open Data	international_organization	api
Ethnic Power Relations Dataset	academic	bulk_download
NGA GEOnet Names Server (GNS)	official_government	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
Glottolog Language Catalog	academic	bulk_download
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
OpenFactBook	community_compilation	bulk_download