Morocco

MAR Global Data Lab MAR-GDL Development Indices

272 rows · 1 table(s) Global Data Lab 0 1 2 3 9 SEL 2 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)

MAR GDL - Subnational Indices — 272 rows, 11 columns

Loading data…

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	MAR, MAR, MAR, MAR, MAR
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	8	Total, Centre, Centre north, Centre south, Eastern
`human_development_index`	Human development index	float	SEL	0%	76	0.508, 0.547, 0.459, 0.55, 0.535
`health_index`	Health index	float	SEL	0%	69	0.652, 0.7, 0.631, 0.676, 0.674
`education_index`	Education index	float	SEL	0%	83	0.355, 0.401, 0.293, 0.422, 0.368
`income_index`	Income index	float	SEL	0%	69	0.567, 0.584, 0.524, 0.582, 0.617
`life_expectancy`	Life expectancy	float	SEL	0%	95	62.4, 65.52, 60.98, 63.92, 63.79
`mean_years_schooling`	Mean years schooling	float	SEL	0%	100	5.319, 6.344, 3.977, 5.807, 4.734

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	13	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

MAR UNHCR Refugee Data Finder MAR-UNHCR Migration

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

MAR UNHCR - Hosted Populations — 75 rows, 24 columns

Loading data…

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%	-	-

MAR UNHCR - Origin Populations — 75 rows, 24 columns

Loading data…

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%	-	-

MAR World Bank Open Data MAR-WORLD_BANK Development Indicators

132 rows · 2 table(s) World Bank Open Data 0 1 2 3 18 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)

MAR World Bank - Development Indicators — 66 rows, 8 columns

Loading data…

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	MA, MA, MA, MA, MA
`population_count`	Population count	float	SEL	2%	65	11624933.0, 11931085.0, 12253092.0, 12577502.0, 12898886.0
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	174.784133911133, 169.318435668945, 193.647811889648,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	88%	8	30.2600002288818, 41.5900001525879, 52.310001373291,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	243.9, 238.8, 233.9, 228.7, 223.2
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	91%	5	16.3, 15.3, 8.9, 8.9, 4.8

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Morocco, Morocco, Morocco, Morocco, Morocco
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

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

Loading data…

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	MA, MA, MA, MA, MA
`life_expectancy`	Life expectancy	float	SEL	3%	64	41.73, 43.694, 44.226, 44.768, 45.346
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	3%	64	67.5, 66.7, 65.8, 64.9, 63.8
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	243.9, 238.8, 233.9, 228.7, 223.2
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	39	752.0, 697.0, 650.0, 602.0, 559.0
`fertility_rate`	Fertility rate	float	SEL	3%	63	6.887, 6.969, 7.046, 7.012, 6.97
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	50.808, 50.588, 50.609, 49.757, 48.957
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	22.98, 21.366, 20.915, 20.399, 19.82
`physicians_per_1000`	Physicians per 1000	float	SEL	71%	17	0.106, 0.082, 0.076, 0.076, 0.054
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	58%	21	1.5984001159668, 1.47420001029968, 1.42859995365143,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	35%	20	32.0, 41.0, 45.0, 51.0, 63.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	3.69304585, 3.81601191, 4.06117535, 4.08037519, 4.23211098

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

MAR LandScan Global (ORNL) MAR-LANDSCAN Modeled Population

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

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

0 Admin 0 — 1 table(s)

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

Loading data…

Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	MAR
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Morocco
`admin_code`	Admin code	string	SEL	0%	1	5654995B609903263945
`area_sqkm`	Area sqkm	float	SEL	0%	1	682782.1457
`pop_2024`	Population count	integer	SEL	0%	1	37243152
`pop_density_2024`	Population density	float	SEL	0%	1	54.55

1 Admin 1 — 1 table(s)

MAR LandScan - Population Admin1 (admin_1) — 12 rows, 7 columns

Loading data…

Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	MAR, MAR, MAR, MAR, MAR
`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%	12	Casablanca-Settat, Rabat-Salé-Kenitra, Marrakech-Safi,...
`admin_code`	Admin code	string	SEL	0%	12	70788906B33851053053385, 70788906B15955360211262,...
`area_sqkm`	Area sqkm	float	SEL	0%	12	20297.2792, 17630.872, 38995.7741, 38862.1392, 16167.6038
`pop_2024`	Population count	integer	SEL	0%	12	7484266, 5028168, 4961248, 4660631, 3898264
`pop_density_2024`	Population density	float	SEL	0%	12	368.73, 285.19, 127.23, 119.93, 241.12

Locality Locality — 1 table(s)

MAR LandScan - Cities (locality) — 72 rows, 9 columns

Loading data…

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	MAR, MAR, MAR, MAR, MAR
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	72	Casablanca, Rabat, Fez, Tangier, Marrakesh
`admin_code`	Admin code	integer	SEL	0%	72	2102, 2747, 4407, 3886, 1853
`area_sqkm`	Area sqkm	float	SEL	0%	70	413.9163, 202.4877, 105.733, 85.8161, 123.6247
`pop_2024`	Population count	integer	SEL	0%	72	4299847, 1908221, 1221659, 1020824, 996257
`pop_density_2024`	Population density	float	SEL	0%	72	10388.2, 9423.89, 11554.19, 11895.48, 8058.72

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%	72	4577677, 2094221, 1434235, 1300223, 1152691
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	65	0.939, 0.911, 0.852, 0.785, 0.864

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

72 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)

MAR GHS-UCDB - Cities (locality) — 72 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%	72	Casablanca, Rabat, Fez, Tangier, Marrakesh
`country_code`	Country code	string	SEL	0%	1	MAR, MAR, MAR, MAR, MAR
`population`	Population count	integer	SEL	0%	72	4577677, 2094221, 1434235, 1300223, 1152691

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	72	2102, 2747, 4407, 3886, 1853
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Morocco, Morocco, Morocco, Morocco, Morocco
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

MAR USAID DHS Program MAR-DHS Health Surveys

52 rows · 2 table(s) USAID DHS Program 0 1 2 3 6 SEL 2 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)

MAR DHS - Ethnicity Indicators — 19 rows, 7 columns

Loading data…

Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

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%	18	51.5, 36.0, 55.3, 37.9, 75.1

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	Morocco, Morocco, Morocco, Morocco, Morocco
`survey_year`	survey_year	integer	0%	1	2003, 2003, 2003, 2003, 2003
`region`	region	string	0%	19	..Chaouia-Ouardigha, ..Doukkala-Abda, ..Fes-Boulemane,...
`survey_id`	survey_id	string	0%	1	MA2003DHS, MA2003DHS, MA2003DHS, MA2003DHS, MA2003DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

MAR DHS - Health Indicators — 33 rows, 11 columns

Loading data…

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	21%	26	35.5, 33.0, 26.6, 29.6, 28.1
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	3%	25	44.0, 32.0, 56.0, 51.0, 27.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	6%	26	56.0, 35.0, 66.0, 55.0, 35.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	3%	31	89.0, 93.0, 91.2, 88.2, 89.6
`children_underweight`	Children underweight	float	CCL	24%	22	3.8, 11.6, 7.1, 6.8, 4.1

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	Morocco, Morocco, Morocco, Morocco, Morocco
`survey_year`	survey_year	integer	0%	3	2003, 2003, 2003, 2003, 2003
`region`	region	string	0%	19	..Chaouia-Ouardigha, ..Doukkala-Abda, ..Fes-Boulemane,...
`survey_id`	survey_id	string	0%	3	MA2003DHS, MA2003DHS, MA2003DHS, MA2003DHS, MA2003DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

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

31 rows · 1 table(s) HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 5 SEL ▶

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

2 Admin 2 — 1 table(s)

MAR Cod Ps - Mar Codps — 31 rows, 56 columns

Loading data…

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%	31	MA001001, MA001002, MA001003, MA001004, MA001005
`region_name`	Region name	string	SEL	0%	31	Province d Azilal, Province de Beni Mellal, Province de...
`F_TL`	Female population	integer	SEL	0%	30	275313, 282066, 223425, 188106, 274122
`M_TL`	Male population	integer	SEL	0%	30	277571, 266710, 229023, 182072, 264203
`T_TL`	Total population	integer	SEL	0%	30	552884, 548776, 452448, 370178, 538325

Pending (51) — 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	2014, 2014, 2014, 2014, 2014
`ADM0_NAME`	ADM0_NAME	string	0%	1	Morocco, Morocco, Morocco, Morocco, Morocco
`F_00_04`	Female population age 0-4	integer	0%	30	32212, 26514, 23906, 16177, 26864
`F_05_09`	Female population age 5-9	integer	0%	30	28908, 23411, 21896, 14860, 23026
`F_10_14`	Female population age 10-14	integer	0%	30	28633, 24258, 23683, 16930, 23849
`F_15_19`	Female population age 15-19	integer	0%	30	26705, 24822, 21449, 16177, 24123
`F_20_24`	Female population age 20-24	integer	0%	30	24503, 24822, 18544, 16553, 24123
`F_25_29`	Female population age 25-29	integer	0%	30	22025, 22001, 16533, 15425, 21107
`F_30_34`	Female population age 30-34	integer	0%	30	19272, 21719, 16087, 15425, 20559
`F_35_39`	Female population age 35-39	integer	0%	30	17620, 21719, 14523, 14672, 19463
`F_40_44`	Female population age 40-44	integer	0%	30	15142, 19745, 13182, 13544, 16996
`F_45_49`	Female population age 45-49	integer	0%	30	12664, 16642, 10501, 10910, 15351
`F_50_54`	Female population age 50-54	integer	0%	30	12940, 16642, 11618, 10534, 15899
`F_55_59`	Female population age 55-59	integer	0%	30	9085, 11565, 8043, 7148, 12335
`F_60_64`	Female population age 60-64	integer	0%	30	8259, 9590, 7596, 6772, 10143
`F_65_69`	Female population age 65-69	integer	0%	30	4956, 5359, 4022, 3762, 5757
`F_70_74`	Female population age 70-74	integer	0%	30	4956, 5359, 4692, 3950, 5757
`F_75plus`	F_75plus	integer	0%	30	7158, 7898, 7150, 5831, 8772
`M_00_04`	Male population age 0-4	integer	0%	30	33864, 28005, 25193, 17115, 28798
`M_05_09`	Male population age 5-9	integer	0%	30	30255, 24271, 23131, 15294, 24307
`M_10_14`	Male population age 10-14	integer	0%	30	30255, 25337, 24505, 17843, 24835
`M_15_19`	Male population age 15-19	integer	0%	30	27202, 24804, 22444, 16933, 24571
`M_20_24`	Male population age 20-24	integer	0%	30	24704, 22937, 19925, 16204, 22721
`M_25_29`	Male population age 25-29	integer	0%	30	21373, 19737, 17177, 13837, 19551
`M_30_34`	Male population age 30-34	integer	0%	30	18320, 18403, 16261, 13291, 19023
`M_35_39`	Male population age 35-39	integer	0%	30	16099, 17603, 14428, 12563, 17966
`M_40_44`	Male population age 40-44	integer	0%	30	13879, 16536, 13054, 11653, 15852
`M_45_49`	Male population age 45-49	integer	0%	30	11936, 14136, 10306, 9286, 13474
`M_50_54`	Male population age 50-54	integer	0%	30	12491, 14936, 11451, 9832, 14003
+21 more pending fields — download the CSV/Parquet to see them all.

MAR Glottolog Language Catalog MAR-GLOTTOLOG Language

16 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)

MAR Glottolog - Languages — 16 rows, 16 columns

Loading data…

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%	16	alge1239, alge1240, cent2194, ghom1257, hass1238
`name`	Name	string	CCL	0%	16	Algerian Arabic, Algerian Saharan Arabic, Central...
`iso639_3`	Iso639 3	string	CCL	0%	16	arq, aao, tzm, gho, mey
`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%	4	afro1255, afro1255, afro1255, afro1255, afro1255
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	11	magh1239, magh1239, atla1275, nort3248, west3017
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	11	['DZ', 'MA', 'TN'], ['DZ', 'EH', 'LY', 'MA', 'NE'],...
`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%	6	3, 0, 2, 0, 0

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	16	35.4208, 20.8884, 32.7415, 34.7979, 18.29
`longitude`	longitude	float	0%	15	3.23033, 4.80626, -2.40872, -4.6696, -14.11
`classification`	classification	string	0%	1	[], [], [], [], []

MAR OpenFactBook MAR-OPENFACTBOOK Country Profile

15 rows · 15 table(s) OpenFactBook 0 1 2 3 95 SEL 2 CCL 611 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)

MAR OpenFactBook - Communications — 1 rows, 22 columns

Loading data…

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	8.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	137.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.ma
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	91.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	6.0
`country_code`	Country code	string	SEL	0%	1	MAR
`country_name`	Country name	string	SEL	0%	1	Morocco
`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	2.874 million (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	2.874
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	8 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	55.9 million (2023 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	55.9
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	137 (2021 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	2 TV broadcast networks with state-run Radio-Television...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	2.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	91% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	2.42 million (2022 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	2.42
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	6 (2022 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	africa/mo.json

MAR OpenFactBook - Economy — 1 rows, 149 columns

Loading data…

Field details — 149 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	9100.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	154.431
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	3.9
`country_code`	Country code	string	SEL	0%	1	MAR
`country_name`	Country name	string	SEL	0%	1	Morocco
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (143) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	lower middle-income North African economy; ongoing...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$350.594 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	350.594
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$339.603 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	339.603
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$328.425 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	328.425
`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	3.2% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	3.2
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	3.4% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	3.4
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	1.5% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	1.5
`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	$9,100 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$8,900 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	8900.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$8,700 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	8700.0
`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	$154.431 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	1% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	1.0
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	6.1% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	6.1
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	6.7% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	6.7
`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	10.1% (2024 est.)
+113 more extension fields — download the CSV/Parquet to see them all.

MAR OpenFactBook - Energy — 1 rows, 51 columns

Loading data…

Field details — 51 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	MAR
`country_name`	Country name	string	SEL	0%	1	Morocco
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (47) — 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	14.615 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	14.615
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	36.379 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	36.379
`electricity_exports_text`	electricity_exports_text	string	0%	1	462 million kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	462.0
`electricity_imports_text`	electricity_imports_text	string	0%	1	2.311 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	2.311
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	7.781 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	7.781
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	78.6% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	78.6
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	5% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	5.0
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	15.5% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	15.5
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	0.9% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	0.9
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	0.1% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	0.1
`coal_consumption_text`	coal_consumption_text	string	0%	1	10.304 million metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	10.304
`coal_exports_text`	coal_exports_text	string	0%	1	25 metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	25.0
`coal_imports_text`	coal_imports_text	string	0%	1	10.344 million metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	10.344
`coal_proven_reserves_text`	coal_proven_reserves_text	string	0%	1	96 million metric tons (2023 est.)
`coal_proven_reserves_numeric`	coal_proven_reserves_numeric	float	0%	1	96.0
`petroleum_total_petroleum_production_text`	petroleum_total_petroleum_production_text	string	0%	1	25 bbl/day (2023 est.)
+17 more extension fields — download the CSV/Parquet to see them all.

MAR OpenFactBook - Environment — 1 rows, 63 columns

Loading data…

Field details — 63 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	66.7
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	12.8
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	65.1
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.88
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	6.852
`country_code`	Country code	string	SEL	0%	1	MAR
`country_name`	Country name	string	SEL	0%	1	Morocco
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (55) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	in the north: land degradation and desertification, with...
`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	Environmental Modification
`climate_text`	climate_text	string	0%	1	Mediterranean in the north, becoming more extreme in the...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	66.7% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 15.4% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	15.4
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 4.3% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	4.3
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 47.1% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	47.1
`land_use_forest_text`	land_use_forest_text	string	0%	1	12.8% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	20.3% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	20.3
`land_use_note`	land_use_note	string	0%	1	note: does not include the area of the former Western...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	65.1% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.88% annual rate of change (2020-25 est.)
`urbanization_note`	urbanization_note	string	0%	1	note: data does not include former Western Sahara
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	64.173 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	64.173
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	23.024 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	23.024
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	39.329 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	39.329
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	1.82 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	1.82
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	13.2 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	13.2
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	36.6 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	36.6
+25 more extension fields — download the CSV/Parquet to see them all.

MAR OpenFactBook - Ethnic Groups — 1 rows, 9 columns

Loading data…

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	MAR
`country_name`	Country name	string	SEL	0%	1	Morocco
`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	Moroccan(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Moroccan
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Arab-Amazigh 99%, other 1%
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	99.0
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	africa/mo.json

MAR OpenFactBook - Geography — 1 rows, 61 columns

Loading data…

Field details — 61 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	716550.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	716300.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	250.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	3523.5
`coastline_numeric`	Coastline km	float	SEL	0%	1	2945.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	4165.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	-59.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	66.7
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	12.8
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	17645.0
`country_code`	Country code	string	SEL	0%	1	MAR
`country_name`	Country name	string	SEL	0%	1	Morocco
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (48) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Northern Africa, bordering the North Atlantic Ocean and...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	28 30 N, 10 00 W
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	28.0
`map_references_text`	map_references_text	string	0%	1	Africa
`area_total_text`	area_total_text	string	0%	1	716,550 sq km
`area_land_text`	area_land_text	string	0%	1	716,300 sq km
`area_water_text`	area_water_text	string	0%	1	250 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly larger than twice the size of California
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	3,523.5 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Algeria 1,941 km; Mauritania 1,564 km; Spain (Ceuta) 8...
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	1941.0
`land_boundaries_note`	land_boundaries_note	string	0%	1	note: an additional 75-meter border segment exists...
`coastline_text`	coastline_text	string	0%	1	2,945 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-m depth or to the depth of exploitation
`maritime_claims_continental_shelf_numeric`	maritime_claims_continental_shelf_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	Mediterranean in the north, becoming more extreme in the...
`terrain_text`	terrain_text	string	0%	1	mountainous northern coast (Rif Mountains) and interior...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Jebel Toubkal 4,165 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Sebkha Tah -59 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	909 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	909.0
`natural_resources_text`	natural_resources_text	string	0%	1	phosphates, iron ore, manganese, lead, zinc, fish, salt
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	66.7% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 15.4% (2023 est.)
+18 more extension fields — download the CSV/Parquet to see them all.

MAR OpenFactBook - Government — 1 rows, 113 columns

Loading data…

Field details — 113 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	MAR
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (111) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name_conventional_long_form_text`	country_name_conventional_long_form_text	string	0%	1	Kingdom of Morocco
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Morocco
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Al Mamlakah al Maghribiyah
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Al Maghrib
`country_name_former_text`	country_name_former_text	string	0%	1	French Protectorate in Morocco, Spanish Protectorate in...
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the English name of Morocco derives from, respectively,...
`government_type_text`	government_type_text	string	0%	1	parliamentary constitutional monarchy
`capital_name_text`	capital_name_text	string	0%	1	Rabat
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	34 01 N, 6 49 W
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	34.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+1 (6 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	1.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	derives from the Arabic name Ribat el-Fath, from the...
`capital_etymology_numeric`	capital_etymology_numeric	float	0%	1	12.0
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	12 regions; Beni Mellal-Khenifra, Casablanca-Settat,...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	12.0
`legal_system_text`	legal_system_text	string	0%	1	mixed system of civil law based on French civil law and...
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest drafted 17 June 2011, approved...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	17.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the king, by the prime minister, or by...
`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	the father must be a citizen of Morocco; if the father...
`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	5 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	5.0
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
`executive_branch_chief_of_state_text`	executive_branch_chief_of_state_text	string	0%	1	King MOHAMMED VI (since 30 July 1999)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	30.0
+81 more extension fields — download the CSV/Parquet to see them all.

MAR OpenFactBook - Introduction — 1 rows, 7 columns

Loading data…

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	MAR
`country_name`	Country name	string	SEL	0%	1	Morocco
`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	In 788, about a century after the Arab conquest of North...
`background_numeric`	background_numeric	float	0%	1	788.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	africa/mo.json

MAR OpenFactBook - Languages — 1 rows, 8 columns

Loading data…

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

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`languages_languages_text`	Languages (text)	string	0%	1	Arabic (official), Tamazight languages (Tamazight...
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	كتاب ديال لحقائق متاع العالم، احسن مصدر متاع المعلومات...
`languages_note`	languages_note	string	0%	1	note: the proportion of Tamazight speakers is disputed
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	africa/mo.json

MAR OpenFactBook - Migration — 1 rows, 9 columns

Loading data…

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	MAR
`country_name`	Country name	string	SEL	0%	1	Morocco
`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	18,848 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	18848.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	256 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	256.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	africa/mo.json

MAR OpenFactBook - Military And Security — 1 rows, 27 columns

Loading data…

Field details — 27 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	MAR
`country_name`	Country name	string	SEL	0%	1	Morocco
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (24) — 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	Royal Moroccan Armed Forces (FAR): Royal Moroccan Army...
`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	4% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	4.0
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	4% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	4.0
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	4.5% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	4.5
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	4.5% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	4.5
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	4.5% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	4.5
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	estimated 220,000 active Armed Forces (175,000 Army;...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	220000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the Moroccan military's inventory is mostly a mix of...
`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	19-25 years of age for 12-month compulsory and voluntary...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	19.0
`military_deployments_text`	military_deployments_text	string	0%	1	775 Central African Republic (MINUSCA); 890 Democratic...
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	775.0
`military_note_text`	military_note_text	string	0%	1	the Royal Armed Forces (FAR) are responsible for...
`military_note_numeric`	military_note_numeric	float	0%	1	1975.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	africa/mo.json

MAR OpenFactBook - People And Society — 1 rows, 143 columns

Loading data…

Field details — 143 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	37387585.0
`population_male_numeric`	Population male	float	SEL	0%	1	18664263.0
`population_female_numeric`	Population female	float	SEL	0%	1	18723322.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	25.7
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	65.9
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	8.4
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	51.7
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	38.9
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	12.7
`median_age_total_numeric`	Median age	float	SEL	0%	1	30.9
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.81
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	16.5
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	6.66
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-1.7
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	65.1
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.88
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.05
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	1.0
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	70.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	17.8
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	74.2
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	2.24
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	1.09
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.74
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	0.7
`country_code`	Country code	string	SEL	0%	1	MAR
`country_name`	Country name	string	SEL	0%	1	Morocco
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (115) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	37,387,585 (2024 est.)
`population_male_text`	population_male_text	string	0%	1	18,664,263
`population_female_text`	population_female_text	string	0%	1	18,723,322
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	25.7% (male 4,898,154/female 4,701,786)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	65.9% (male 12,236,752/female 12,410,567)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	8.4% (2024 est.) (male 1,529,357/female 1,610,969)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	51.7 (2024 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	38.9 (2024 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	12.7 (2024 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	7.8 (2024 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	7.8
`median_age_total_text`	median_age_total_text	string	0%	1	30.9 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	30.1 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	30.1
`median_age_female_text`	median_age_female_text	string	0%	1	31 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	31.0
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.81% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	16.5 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	6.66 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-1.7 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	the highest population density is found along the...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	65.1% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.88% annual rate of change (2020-25 est.)
`urbanization_note`	urbanization_note	string	0%	1	note: data does not include former Western Sahara
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	3.893 million Casablanca, 1.959 million RABAT (capital),...
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	3.893
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.04 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.04
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.99 male(s)/female
+85 more extension fields — download the CSV/Parquet to see them all.

MAR OpenFactBook - Religions — 1 rows, 15 columns

Loading data…

Field details — 15 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	MAR
`country_name`	Country name	string	SEL	0%	1	Morocco
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	99.0
`composition_ethnicity_primary_label_synth`	Arab-Amazigh	string	CCL	0%	-	Arab-Amazigh

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	Muslim 99% (official; virtually all Sunni, <0.1% Shia),...
`religions_numeric`	religions_numeric	float	0%	1	99.0
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	africa/mo.json

Pending (6) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_other_includes_christian_jewish_and_baha_i_note_jewish_about_3_pct_synth`	other (includes Christian, Jewish, and Baha'i); note - Jewish about 3	numeric	0%	-	1.0
`composition_religion_000_3_pct_synth`	000-3	numeric	0%	-	-
`composition_religion_500_pct_synth`	500	numeric	0%	-	-
`composition_ethnicity_arab_amazigh_pct_synth`	Arab-Amazigh	numeric	0%	-	99.0
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	1.0
`composition_ethnicity_primary_share_pct_synth`	Arab-Amazigh	numeric	0%	-	99.0

MAR OpenFactBook - Terrorism — 1 rows, 6 columns

Loading data…

Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`terrorist_group_s_text`	terrorist_group_s_text	string	0%	1	Islamic State of Iraq and ash-Sham (ISIS)
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	africa/mo.json

MAR OpenFactBook - Transportation — 1 rows, 31 columns

Loading data…

Field details — 31 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	CN
`airports_numeric`	Airports count	float	SEL	0%	1	48.0
`country_code`	Country code	string	SEL	0%	1	MAR
`country_name`	Country name	string	SEL	0%	1	Morocco
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (26) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`airports_text`	airports_text	string	0%	1	48 (2025)
`heliports_text`	heliports_text	string	0%	1	17 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	17.0
`railways_total_text`	railways_total_text	string	0%	1	2,067 km (2014)
`railways_total_numeric`	railways_total_numeric	float	0%	1	2067.0
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	2,067 km (2014) 1.435-m gauge (1,022 km electrified)
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	2067.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	94 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	94.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	container ship 6, general cargo 5, oil tanker 2, other 81
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	6.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	12 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	12.0
`ports_large_text`	ports_large_text	float	0%	1	3
`ports_large_numeric`	ports_large_numeric	float	0%	1	3.0
`ports_medium_text`	ports_medium_text	float	0%	1	1
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	1.0
`ports_small_text`	ports_small_text	float	0%	1	3
`ports_small_numeric`	ports_small_numeric	float	0%	1	3.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	5
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	5.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	2
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	2.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Agadir, Casablanca, Tanger, Tangier-Mediterranean
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	africa/mo.json

MAR D-PLACE MAR-DPLACE Ethnographic Societies

9 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)

MAR D-PLACE - Dplace Ea Societies — 9 rows, 18 columns

Loading data…

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	MAR, MAR, MAR, MAR, MAR
`society_id`	Society id	string	CCL	0%	9	Cc15, Cc17, Cd10, Cd15, Cd16
`society_name`	Society name	string	CCL	0%	9	Drawa, Delim, Zekara, Jebala, Moroccans
`language_glottocode`	Language glottocode	string	CCL	0%	6	susi1238, hass1238, tari1263, jebl1238, sout3117
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	9	EA001:0; EA002:0; EA003:2; EA004:2; EA005:6, EA001:0;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	7	EA006:NA; EA007:NA; EA008:NA; EA009:NA; EA010:NA,...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	8	EA028:NA; EA029:NA; EA030:NA; EA031:NA; EA032:NA,...
`political_complexity`	Political complexity	string	CCL	0%	5	EA033:NA; EA034:NA; EA035:NA, EA033:4; EA034:4;...
`religion_importance`	Religion importance	string	CCL	0%	4	EA034:NA; EA112:NA, EA034:4; EA112:NA, EA034:4;...
`residence_pattern`	Residence pattern	string	CCL	0%	3	EA011:NA; EA012:NA; EA013:NA, EA011:1; EA012:8; 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	Morocco, Morocco, Morocco, Morocco, Morocco
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	7	31.0, 22.0, 34.0, 35.0, 33.0
`longitude`	longitude	float	0%	8	-7.0, -15.0, -2.0, -5.0, -8.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon, point_in_polygon,...
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate, approximate, approximate, approximate

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

6 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)

MAR Nga Gns - Language — 5 rows, 9 columns

Loading data…

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	MAR, MAR, MAR, MAR, MAR
`gns_language_code`	gns_language_code	string	CCL	0%	5	ara, fra, eng, tzm, spa
`gns_language_name`	gns_language_name	string	CCL	0%	5	Arabic, French, English, Tamazight, Central Atlas, Spanish
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	5	4577, 328, 41, 4, 2
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	5	92.4273, 6.6236, 0.8279, 0.0808, 0.0404
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	3	2575, 0, 0, 2, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	3	Arab, , , Tfng,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	3	Arabic, , , Tifinagh (Berber),
`gns_script_count`	gns_script_count	integer	CCL	0%	2	1, 0, 0, 1, 0

MAR Nga Gns - Summary — 1 rows, 29 columns

Loading data…

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	MAR
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Morocco
`gns_language_count`	gns_language_count	integer	CCL	0%	1	5
`gns_script_count`	gns_script_count	integer	CCL	0%	1	3
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9975
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	2577

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	197168
`gns_feature_count`	gns_feature_count	integer	0%	1	152798
`gns_endonym_count`	gns_endonym_count	integer	0%	1	197163
`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_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	6079
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	1290
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	68616
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	46888
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	39061
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	32905
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	21623
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	19290
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	3455
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	3388
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	28222
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	23511
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	29686
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	25263
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	426
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	263

MAR Afrobarometer MAR-AFROBAROMETER Attitudes Values

5 rows · 5 table(s) Afrobarometer 0 1 2 3 5 SEL 24 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 — 5 table(s)

MAR Afrobarometer - Economic Indicators — 1 rows, 9 columns

Loading data…

Field details — 9 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	MAR
`economic_conditions`	Economic conditions	integer	CCL	0%	1	1
`living_conditions`	Living conditions	integer	CCL	0%	1	1
`employment_situation`	Employment situation	integer	CCL	0%	1	1
`food_insecurity`	Food insecurity	integer	CCL	0%	1	1

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

Field Name	Label	Type	Nulls	Unique	Samples
`round`	round	string	0%	1
`year`	year	string	0%	1
`region`	region	string	0%	1
`source`	source	string	0%	1	Afrobarometer

MAR Afrobarometer - Gender Indicators — 1 rows, 9 columns

Loading data…

Field details — 9 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	MAR
`women_equal_rights`	Women equal rights	integer	CCL	0%	1	1
`women_political_leaders`	Women political leaders	integer	CCL	0%	1	1
`women_land_rights`	Women land rights	integer	CCL	0%	1	1
`domestic_violence_justified`	Domestic violence justified	integer	CCL	0%	1	1

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

Field Name	Label	Type	Nulls	Unique	Samples
`round`	round	string	0%	1
`year`	year	string	0%	1
`region`	region	string	0%	1
`source`	source	string	0%	1	Afrobarometer

MAR Afrobarometer - Governance Indicators — 1 rows, 13 columns

Loading data…

Field details — 13 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	MAR
`trust_president`	Trust president	integer	CCL	0%	1	1
`trust_parliament`	Trust parliament	integer	CCL	0%	1	1
`trust_courts`	Trust courts	integer	CCL	0%	1	1
`trust_police`	Trust police	integer	CCL	0%	1	1
`trust_army`	Trust army	integer	CCL	0%	1	1
`corruption_perception`	Corruption perception	integer	CCL	0%	1	1
`democracy_satisfaction`	Democracy satisfaction	integer	CCL	0%	1	1
`democracy_preference`	Democracy preference	integer	CCL	0%	1	1

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

Field Name	Label	Type	Nulls	Unique	Samples
`round`	round	string	0%	1
`year`	year	string	0%	1
`region`	region	string	0%	1
`source`	source	string	0%	1	Afrobarometer

MAR Afrobarometer - Migration Indicators — 1 rows, 8 columns

Loading data…

Field details — 8 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	MAR
`emigration_considered`	Emigration considered	integer	CCL	0%	1	1
`immigration_attitude`	Immigration attitude	integer	CCL	0%	1	1
`foreign_workers_attitude`	Foreign workers attitude	integer	CCL	0%	1	1

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

Field Name	Label	Type	Nulls	Unique	Samples
`round`	round	string	0%	1
`year`	year	string	0%	1
`region`	region	string	0%	1
`source`	source	string	0%	1	Afrobarometer

MAR Afrobarometer - Social Trust Indicators — 1 rows, 10 columns

Loading data…

Field details — 10 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	MAR
`trust_relatives`	Trust relatives	integer	CCL	0%	1	1
`trust_neighbors`	Trust neighbors	integer	CCL	0%	1	1
`trust_other_ethnic`	Trust other ethnic	integer	CCL	0%	1	1
`trust_other_religion`	Trust other religion	integer	CCL	0%	1	1
`national_identity_vs_ethnic`	National identity vs ethnic	integer	CCL	0%	1	1

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

Field Name	Label	Type	Nulls	Unique	Samples
`round`	round	string	0%	1
`year`	year	string	0%	1
`region`	region	string	0%	1
`source`	source	string	0%	1	Afrobarometer

MAR Ethnic Power Relations Dataset MAR-EPR Political Ethnicity

3 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)

MAR EPR - Groups — 3 rows, 8 columns

Loading data…

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	MAR, MAR, MAR
`ethnic_group_name`	Ethnic group name	string	CCL	0%	3	Arabs, Berbers, Sahrawis
`ethnic_power_status`	Ethnic power status	string	CCL	0%	3	DOMINANT, POWERLESS, DISCRIMINATED
`ethnic_population_share`	Ethnic population share	float	CCL	0%	3	0.592, 0.392, 0.016
`ethnic_group_id`	Ethnic group id	float	CCL	0%	3	60002000, 60001000, 60003000
`regional_autonomy`	Regional autonomy	string	CCL	0%	2	, false, 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
`group_relevance`	group_relevance	string	0%	1	, ,

MAR Global Organized Crime Index MAR-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)

MAR Organized Crime Scores 2025 — 1 rows, 35 columns

Loading data…

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.

MAR World Values Survey MAR-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)

MAR WVS - Country Aggregates — 1 rows, 26 columns

Loading data…

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	MAR

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
Arabic (ara)	4,577	92.4%	Arabic
French (fra)	328	6.6%	—
English (eng)	41	0.8%	—
Tamazight, Central Atlas (tzm)	4	0.1%	Tifinagh (Berber)

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
Global Data Lab	academic	api
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
World Values Survey	academic	metadata_catalog
Afrobarometer	academic	api
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
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