Madagascar

MDG INSTAT Madagascar MDG-INSTAT_RGPH3 Census

1,695 rows · 4 tables · 2018 INSTAT Madagascar 0 1 2 3 35 SEL 123 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)

MDG Instat Rgph3 - MDG Rgph3 Admin 0 — 1 rows, 41 columns

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`unit_name`	unit_name	string	SEL	0%	1	MADAGASCAR
`parent_name`	parent_name	string	SEL	0%	1
`admin_level`	admin_level	integer	SEL	0%	1	0
`ensemble_population_density`	ensemble_population_density	integer	SEL	0%	1	434
`ensemble_population`	ensemble_population	integer	SEL	0%	1	25674196
`ensemble_femmes`	ensemble_femmes	integer	SEL	0%	1	13015251
`ensemble_hommes`	ensemble_hommes	integer	SEL	0%	1	12658945
`ensemble_household_size_mean`	ensemble_household_size_mean	float	SEL	0%	1	4.2
`ensemble_households`	ensemble_households	integer	SEL	0%	1	6079876

Extension Fields (32) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	MDG
`census`	census	string	0%	1	RGPH-3
`census_year`	census_year	integer	0%	1	2018
`source_organization`	source_organization	string	0%	1	INSTAT Madagascar
`unit_type`	unit_type	string	0%	1	National
`rural_population_density`	rural_population_density	integer	0%	1	362
`urbain_population_density`	urbain_population_density	integer	0%	1	2559
`ensemble_demographic_weight`	ensemble_demographic_weight	integer	0%	1	1000
`rural_demographic_weight`	rural_demographic_weight	integer	0%	1	1000
`urbain_demographic_weight`	urbain_demographic_weight	integer	0%	1	1000
`rural_population`	rural_population	integer	0%	1	20731294
`urbain_population`	urbain_population	integer	0%	1	4942902
`ensemble_total`	ensemble_total	integer	0%	1	25674196
`rural_total`	rural_total	integer	0%	1	20731294
`rural_femmes`	rural_femmes	integer	0%	1	10448815
`rural_hommes`	rural_hommes	integer	0%	1	10282479
`urbain_total`	urbain_total	integer	0%	1	4942902
`urbain_femmes`	urbain_femmes	integer	0%	1	2566436
`urbain_hommes`	urbain_hommes	integer	0%	1	2376466
`ensemble_households_total`	ensemble_households_total	integer	0%	1	6079876
`ensemble_households_femmes`	ensemble_households_femmes	integer	0%	1	1459400
`ensemble_households_hommes`	ensemble_households_hommes	integer	0%	1	4620476
`rural_households_total`	rural_households_total	integer	0%	1	4799846
`rural_households_femmes`	rural_households_femmes	integer	0%	1	1090821
`rural_households_hommes`	rural_households_hommes	integer	0%	1	3709025
`urbain_households_total`	urbain_households_total	integer	0%	1	1280030
`urbain_households_femmes`	urbain_households_femmes	integer	0%	1	368579
`urbain_households_hommes`	urbain_households_hommes	integer	0%	1	911451
`rural_household_size_mean`	rural_household_size_mean	float	0%	1	4.3
`rural_households`	rural_households	integer	0%	1	4799846
+2 more extension fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

MDG Instat Rgph3 - MDG Rgph3 Admin 1 — 22 rows, 41 columns

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`unit_name`	unit_name	string	SEL	0%	22	Alaotra Mangoro, Amoron’i Mania, Analamanga, Analanjirofo, Androy
`parent_name`	parent_name	string	SEL	0%	1	, , , ,
`admin_level`	admin_level	integer	SEL	0%	1	1, 1, 1, 1, 1
`ensemble_population_density`	ensemble_population_density	integer	SEL	0%	22	449, 508, 2089, 531, 475
`ensemble_population`	ensemble_population	integer	SEL	0%	22	1249931, 837116, 3623925, 1150089, 900235
`ensemble_femmes`	ensemble_femmes	integer	SEL	23%	17	627018, 583586, 468647, 411747, 916036
`ensemble_hommes`	ensemble_hommes	integer	SEL	23%	17	622913, 566503, 431588, 397304, 881858
`ensemble_household_size_mean`	ensemble_household_size_mean	float	SEL	0%	12	4.2, 4.8, 4.0, 3.6, 4.5
`ensemble_households`	ensemble_households	integer	SEL	0%	22	297267, 173320, 896823, 322758, 200268

Extension Fields (32) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	MDG, MDG, MDG, MDG, MDG
`census`	census	string	0%	1	RGPH-3, RGPH-3, RGPH-3, RGPH-3, RGPH-3
`census_year`	census_year	integer	0%	1	2018, 2018, 2018, 2018, 2018
`source_organization`	source_organization	string	0%	1	INSTAT Madagascar, INSTAT Madagascar, INSTAT Madagascar,...
`unit_type`	unit_type	string	0%	1	Région, Région, Région, Région, Région
`rural_population_density`	rural_population_density	integer	0%	22	416, 475, 1379, 461, 445
`urbain_population_density`	urbain_population_density	integer	0%	22	868, 952, 13577, 2719, 1341
`ensemble_demographic_weight`	ensemble_demographic_weight	integer	0%	19	49, 33, 141, 45, 35
`rural_demographic_weight`	rural_demographic_weight	integer	0%	20	52, 35, 109, 47, 39
`urbain_demographic_weight`	urbain_demographic_weight	integer	0%	21	35, 22, 277, 37, 17
`rural_population`	rural_population	integer	0%	22	1074670, 729397, 2252790, 968106, 813918
`urbain_population`	urbain_population	integer	0%	22	175261, 107719, 1371135, 181983, 86317
`ensemble_total`	ensemble_total	integer	23%	17	1249931, 1150089, 900235, 809051, 1797894
`rural_total`	rural_total	integer	23%	17	1074670, 968106, 813918, 678451, 1542901
`rural_femmes`	rural_femmes	integer	23%	17	537658, 488598, 423969, 343338, 782636
`rural_hommes`	rural_hommes	integer	23%	17	537012, 479508, 389949, 335113, 760265
`urbain_total`	urbain_total	integer	23%	17	175261, 181983, 86317, 130600, 254993
`urbain_femmes`	urbain_femmes	integer	23%	17	89360, 94988, 44678, 68409, 133400
`urbain_hommes`	urbain_hommes	integer	23%	17	85901, 86995, 41639, 62191, 121593
`ensemble_households_total`	ensemble_households_total	integer	0%	22	297267, 173320, 896823, 322758, 200268
`ensemble_households_femmes`	ensemble_households_femmes	integer	0%	22	59261, 42770, 181459, 79863, 76834
`ensemble_households_hommes`	ensemble_households_hommes	integer	0%	22	238006, 130550, 715364, 242895, 123434
`rural_households_total`	rural_households_total	integer	0%	22	253090, 147351, 548518, 267029, 181096
`rural_households_femmes`	rural_households_femmes	integer	0%	22	48867, 35397, 101410, 61448, 69880
`rural_households_hommes`	rural_households_hommes	integer	0%	22	204223, 111954, 447108, 205581, 111216
`urbain_households_total`	urbain_households_total	integer	0%	22	44177, 25969, 348305, 55729, 19172
`urbain_households_femmes`	urbain_households_femmes	integer	0%	22	10394, 7373, 80049, 18415, 6954
`urbain_households_hommes`	urbain_households_hommes	integer	0%	22	33783, 18596, 268256, 37314, 12218
`rural_household_size_mean`	rural_household_size_mean	float	0%	10	4.2, 5.0, 4.1, 3.6, 4.5
`rural_households`	rural_households	integer	0%	22	253090, 147351, 548518, 267029, 181096
+2 more extension fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

MDG Instat Rgph3 - MDG Rgph3 Admin 2 — 114 rows, 41 columns

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`unit_name`	unit_name	string	SEL	0%	100	Ambalavao, Ambanja, Ambato Boeni, Ambatoifnandrahana, Ambatolampy
`parent_name`	parent_name	string	SEL	0%	1	, , , ,
`admin_level`	admin_level	integer	SEL	0%	1	2, 2, 2, 2, 2
`ensemble_population_density`	ensemble_population_density	integer	SEL	0%	99	622, 395, 310, 211, 1710
`ensemble_population`	ensemble_population	integer	SEL	0%	100	298404, 236988, 264170, 217493, 282243
`ensemble_femmes`	ensemble_femmes	integer	SEL	19%	81	151186, 121695, 131932, 109054, 21583
`ensemble_hommes`	ensemble_hommes	integer	SEL	19%	81	147218, 115293, 132238, 108439, 21628
`ensemble_household_size_mean`	ensemble_household_size_mean	float	SEL	10%	24	4.8, 3.5, 4.3, 5.1, 4.6
`ensemble_households`	ensemble_households	integer	SEL	10%	90	61883, 67502, 60742, 42918, 61698

Extension Fields (32) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	MDG, MDG, MDG, MDG, MDG
`census`	census	string	0%	1	RGPH-3, RGPH-3, RGPH-3, RGPH-3, RGPH-3
`census_year`	census_year	integer	0%	1	2018, 2018, 2018, 2018, 2018
`source_organization`	source_organization	string	0%	1	INSTAT Madagascar, INSTAT Madagascar, INSTAT Madagascar,...
`unit_type`	unit_type	string	0%	1	District, District, District, District, District
`rural_population_density`	rural_population_density	integer	6%	88	543, 299, 291, 191, 1541
`urbain_population_density`	urbain_population_density	integer	34%	66	4327, 7460, 575, 431, 11405
`ensemble_demographic_weight`	ensemble_demographic_weight	integer	0%	20	12, 9, 10, 8, 11
`rural_demographic_weight`	rural_demographic_weight	integer	0%	22	12, 9, 11, 9, 12
`urbain_demographic_weight`	urbain_demographic_weight	integer	0%	20	9, 12, 7, 8, 7
`rural_population`	rural_population	integer	6%	94	255173, 176667, 230714, 180084, 249952
`urbain_population`	urbain_population	integer	34%	66	43231, 60321, 33456, 37409, 32291
`ensemble_total`	ensemble_total	integer	19%	81	298404, 236988, 264170, 217493, 43211
`rural_total`	rural_total	integer	23%	77	255173, 176667, 230714, 180084, 43211
`rural_femmes`	rural_femmes	integer	23%	77	128371, 89221, 115174, 90102, 21583
`rural_hommes`	rural_hommes	integer	23%	77	126802, 87446, 115540, 89982, 21628
`urbain_total`	urbain_total	integer	45%	55	43231, 60321, 33456, 37409, 47649
`urbain_femmes`	urbain_femmes	integer	45%	55	22815, 32474, 16758, 18952, 24755
`urbain_hommes`	urbain_hommes	integer	45%	55	20416, 27847, 16698, 18457, 22894
`ensemble_households_total`	ensemble_households_total	integer	0%	100	61883, 67502, 60742, 42918, 61698
`ensemble_households_femmes`	ensemble_households_femmes	integer	0%	100	13172, 21768, 12501, 8059, 10927
`ensemble_households_hommes`	ensemble_households_hommes	integer	0%	100	48711, 45734, 48241, 34859, 50771
`rural_households_total`	rural_households_total	integer	6%	94	51914, 49979, 53097, 35018, 53404
`rural_households_femmes`	rural_households_femmes	integer	6%	94	9869, 15078, 10861, 6369, 9249
`rural_households_hommes`	rural_households_hommes	integer	6%	94	42045, 34901, 42236, 28649, 44155
`urbain_households_total`	urbain_households_total	integer	34%	66	9969, 17523, 7645, 7900, 8294
`urbain_households_femmes`	urbain_households_femmes	integer	34%	65	3303, 6690, 1640, 1690, 1678
`urbain_households_hommes`	urbain_households_hommes	integer	34%	66	6666, 10833, 6005, 6210, 6616
`rural_household_size_mean`	rural_household_size_mean	float	14%	22	4.9, 3.5, 4.3, 5.1, 4.7
`rural_households`	rural_households	integer	14%	86	51914, 49979, 53097, 35018, 53404
+2 more extension fields — download the CSV/Parquet to see them all.

3 Admin 3 — 1 table(s)

MDG Instat Rgph3 - MDG Rgph3 Admin 3 — 1,558 rows, 35 columns

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

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`unit_name`	unit_name	string	SEL	0%	100	1er Arrondissement, 2e Arrondissement, 3e...
`parent_name`	parent_name	string	SEL	0%	1	, , , ,
`admin_level`	admin_level	integer	SEL	0%	1	3, 3, 3, 3, 3
`ensemble_femmes`	ensemble_femmes	integer	SEL	3%	97	120012, 98652, 64324, 148128, 156590
`ensemble_hommes`	ensemble_hommes	integer	SEL	3%	97	111154, 91519, 58582, 140865, 146827
`ensemble_household_size_mean`	ensemble_household_size_mean	float	SEL	0%	23	4.0, 3.7, 3.9, 4.1, 3.9
`ensemble_households`	ensemble_households	integer	SEL	0%	97	57124, 51863, 31429, 71175, 77798
`ensemble_population`	ensemble_population	integer	SEL	0%	100	231166, 190171, 122906, 288993, 303417

Extension Fields (27) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	MDG, MDG, MDG, MDG, MDG
`census`	census	string	0%	1	RGPH-3, RGPH-3, RGPH-3, RGPH-3, RGPH-3
`census_year`	census_year	integer	0%	1	2018, 2018, 2018, 2018, 2018
`source_organization`	source_organization	string	0%	1	INSTAT Madagascar, INSTAT Madagascar, INSTAT Madagascar,...
`unit_type`	unit_type	string	0%	2	Commune/Arrondissement, Commune/Arrondissement,...
`ensemble_total`	ensemble_total	integer	3%	97	231166, 190171, 122906, 288993, 303417
`rural_total`	rural_total	integer	11%	89	5039, 10020, 3957, 4234, 8510
`rural_femmes`	rural_femmes	integer	11%	89	2496, 5075, 1929, 2127, 4571
`rural_hommes`	rural_hommes	integer	11%	89	2543, 4945, 2028, 2107, 3939
`urbain_total`	urbain_total	integer	92%	8	231166, 190171, 122906, 288993, 303417
`urbain_femmes`	urbain_femmes	integer	92%	8	120012, 98652, 64324, 148128, 156590
`urbain_hommes`	urbain_hommes	integer	92%	8	111154, 91519, 58582, 140865, 146827
`ensemble_households_total`	ensemble_households_total	integer	1%	96	57124, 51863, 31429, 71175, 77798
`ensemble_households_femmes`	ensemble_households_femmes	integer	1%	92	14075, 13492, 7660, 15095, 17603
`ensemble_households_hommes`	ensemble_households_hommes	integer	1%	98	43049, 38371, 23769, 56080, 60195
`rural_households_total`	rural_households_total	integer	10%	87	1324, 2075, 871, 932, 1635
`rural_households_femmes`	rural_households_femmes	integer	10%	83	232, 474, 107, 136, 716
`rural_households_hommes`	rural_households_hommes	integer	10%	89	1092, 1601, 764, 796, 919
`urbain_households_total`	urbain_households_total	integer	91%	9	57124, 51863, 31429, 71175, 77798
`urbain_households_femmes`	urbain_households_femmes	integer	91%	9	14075, 13492, 7660, 15095, 17603
`urbain_households_hommes`	urbain_households_hommes	integer	91%	9	43049, 38371, 23769, 56080, 60195
`rural_household_size_mean`	rural_household_size_mean	float	9%	23	3.8, 4.8, 4.5, 4.5, 5.2
`rural_households`	rural_households	integer	9%	88	1324, 2075, 871, 932, 1635
`rural_population`	rural_population	integer	9%	91	5039, 10020, 3957, 4234, 8510
`urbain_household_size_mean`	urbain_household_size_mean	float	91%	7	4.0, 3.7, 3.9, 4.1, 3.9
`urbain_households`	urbain_households	integer	91%	9	57124, 51863, 31429, 71175, 77798
`urbain_population`	urbain_population	integer	91%	9	231166, 190171, 122906, 288993, 303417

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

19,186 rows · 5 tables · 2018 HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 4 15 SEL ▶

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)

MDG COD PS - MDG Codps (admin_0) — 1 rows, 15 columns

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Field details — 15 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	100%	-	-
`region_name`	Region name	string	SEL	0%	1	Madagascar
`T_TL`	Total population	integer	SEL	0%	1	26696210

Pending (12) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2018
`ADM0_PCODE`	ADM0_PCODE	string	0%	1	MG
`T_TL_2009`	T_TL_2009	integer	0%	1	20966930
`T_TL_2010`	T_TL_2010	integer	0%	1	21545618
`T_TL_2011`	T_TL_2011	integer	0%	1	22138283
`T_TL_2012`	T_TL_2012	integer	0%	1	22745150
`T_TL_2013`	T_TL_2013	integer	0%	1	23364246
`T_TL_2014`	T_TL_2014	integer	0%	1	23997709
`T_TL_2015`	T_TL_2015	integer	0%	1	24645620
`T_TL_2016`	T_TL_2016	integer	0%	1	25311023
`T_TL_2017`	T_TL_2017	integer	0%	1	25994391

1 Admin 1 — 1 table(s)

MDG COD PS - MDG Codps (admin_1) — 22 rows, 15 columns

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Field details — 15 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	22	MG11, MG12, MG13, MG14, MG21
`region_name`	Region name	string	SEL	0%	22	Analamanga, Vakinankaratra, Itasy, Bongolava, Haute Matsiatra
`T_TL`	Total population	integer	SEL	0%	22	4093006, 2204061, 895694, 559010, 1465681

Pending (12) — 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	2018, 2018, 2018, 2018, 2018
`ADM0_PCODE`	ADM0_PCODE	string	0%	1	MG, MG, MG, MG, MG
`T_TL_2009`	T_TL_2009	integer	0%	22	3214605, 1731047, 703469, 439041, 1151131
`T_TL_2010`	T_TL_2010	integer	0%	22	3303328, 1778824, 722885, 451159, 1182902
`T_TL_2011`	T_TL_2011	integer	0%	22	3394194, 1827755, 742769, 463569, 1215441
`T_TL_2012`	T_TL_2012	integer	0%	22	3487238, 1877858, 763131, 476276, 1248759
`T_TL_2013`	T_TL_2013	integer	0%	22	3582156, 1928971, 783902, 489240, 1282749
`T_TL_2014`	T_TL_2014	integer	0%	22	3679278, 1981271, 805156, 502505, 1317527
`T_TL_2015`	T_TL_2015	integer	0%	22	3778614, 2034763, 826894, 516072, 1353099
`T_TL_2016`	T_TL_2016	integer	0%	22	3880632, 2089699, 849219, 530005, 1389631
`T_TL_2017`	T_TL_2017	integer	0%	22	3985405, 2146118, 872147, 544314, 1427150

2 Admin 2 — 1 table(s)

MDG COD PS - MDG Codps (admin_2) — 119 rows, 15 columns

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Field details — 15 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	100	MG11101001A, MG11101002A, MG11101003A, MG11101004A, MG11101005A
`region_name`	Region name	string	SEL	0%	100	1er Arrondissement, 2e Arrondissement, 3e...
`T_TL`	Total population	integer	SEL	0%	100	310355, 239056, 167055, 318488, 390355

Pending (12) — 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	2018, 2018, 2018, 2018, 2018
`ADM0_PCODE`	ADM0_PCODE	string	0%	1	MG, MG, MG, MG, MG
`T_TL_2009`	T_TL_2009	integer	0%	100	243750, 187752, 131203, 250137, 306581
`T_TL_2010`	T_TL_2010	integer	0%	100	250478, 192934, 134824, 257041, 315043
`T_TL_2011`	T_TL_2011	integer	0%	100	257368, 198241, 138533, 264111, 323709
`T_TL_2012`	T_TL_2012	integer	0%	100	264423, 203675, 142330, 271351, 332582
`T_TL_2013`	T_TL_2013	integer	0%	100	271620, 209219, 146204, 278737, 341635
`T_TL_2014`	T_TL_2014	integer	0%	100	278984, 214892, 150168, 286294, 350897
`T_TL_2015`	T_TL_2015	integer	0%	100	286516, 220693, 154223, 294024, 360371
`T_TL_2016`	T_TL_2016	integer	0%	100	294252, 226652, 158387, 301962, 370101
`T_TL_2017`	T_TL_2017	integer	0%	100	302197, 232771, 162663, 310115, 380093

3 Admin 3 — 1 table(s)

MDG COD PS - MDG Codps (admin_3) — 1,579 rows, 17 columns

Loading data…

Field details — 17 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	100	MG11101001, MG11101002, MG11101003, MG11101004, MG11101005
`region_name`	Region name	string	SEL	0%	99	1er Arrondissement, 2e Arrondissement, 3e...
`T_TL`	Total population	integer	SEL	0%	100	310355, 239056, 167055, 318488, 390355

Pending (14) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_3, admin_3, admin_3, admin_3, admin_3
`year`	Reference year	integer	0%	1	2018, 2018, 2018, 2018, 2018
`ADM0_PCODE`	ADM0_PCODE	string	0%	1	MG, MG, MG, MG, MG
`ADM2_TYPE`	ADM2_TYPE	string	0%	1	District, District, District, District, District
`ADM3_TYPE`	ADM3_TYPE	string	0%	1	Commune, Commune, Commune, Commune, Commune
`T_TL_2009`	T_TL_2009	integer	0%	100	243750, 187752, 131203, 250137, 306581
`T_TL_2010`	T_TL_2010	integer	0%	100	250478, 192934, 134824, 257041, 315043
`T_TL_2011`	T_TL_2011	integer	0%	100	257368, 198241, 138533, 264111, 323709
`T_TL_2012`	T_TL_2012	integer	0%	100	264423, 203675, 142330, 271351, 332582
`T_TL_2013`	T_TL_2013	integer	0%	100	271620, 209219, 146204, 278737, 341635
`T_TL_2014`	T_TL_2014	integer	0%	100	278984, 214892, 150168, 286294, 350897
`T_TL_2015`	T_TL_2015	integer	0%	100	286516, 220693, 154223, 294024, 360371
`T_TL_2016`	T_TL_2016	integer	0%	100	294252, 226652, 158387, 301962, 370101
`T_TL_2017`	T_TL_2017	integer	0%	100	302197, 232771, 162663, 310115, 380093

4 Admin 4 — 1 table(s)

MDG COD PS - MDG Codps (admin_4) — 17,465 rows, 15 columns

Loading data…

Field details — 15 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	100	MG11101001001, MG11101001002, MG11101001003,...
`region_name`	Region name	string	SEL	0%	100	Antanimalalaka Analakely, Ambalavao Isotry,...
`T_TL`	Total population	integer	SEL	0%	99	1347, 6436, 2151, 3804, 8518

Pending (12) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_4, admin_4, admin_4, admin_4, admin_4
`year`	Reference year	integer	0%	1	2018, 2018, 2018, 2018, 2018
`ADM0_PCODE`	ADM0_PCODE	string	0%	1	MG, MG, MG, MG, MG
`T_TL_2009`	T_TL_2009	integer	0%	99	1058, 5055, 1689, 2988, 6690
`T_TL_2010`	T_TL_2010	integer	0%	99	1087, 5195, 1736, 3070, 6875
`T_TL_2011`	T_TL_2011	integer	0%	99	1117, 5337, 1783, 3155, 7064
`T_TL_2012`	T_TL_2012	integer	0%	99	1148, 5484, 1832, 3241, 7257
`T_TL_2013`	T_TL_2013	integer	0%	99	1179, 5633, 1882, 3330, 7455
`T_TL_2014`	T_TL_2014	integer	0%	99	1211, 5786, 1933, 3420, 7657
`T_TL_2015`	T_TL_2015	integer	0%	99	1244, 5942, 1985, 3512, 7864
`T_TL_2016`	T_TL_2016	integer	0%	99	1277, 6102, 2039, 3607, 8076
`T_TL_2017`	T_TL_2017	integer	0%	99	1312, 6267, 2094, 3704, 8294

MDG World Bank Open Data MDG-WORLD_BANK Development Indicators

198 rows · 3 tables · 2024 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 — 3 table(s)

MDG World Bank - Development Indicators — 66 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	MG, MG, MG, MG, MG
`population_count`	Population count	float	SEL	2%	65	5111029.0, 5246158.0, 5384150.0, 5525185.0, 5669863.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	43.349, 43.79, 44.185, 44.626, 45.037
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	131.69201832961, 133.271232882825, 137.308007316434,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	94%	4	70.6900024414062, 71.5699996948242, 76.6800003051758,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	15%	52	145.6, 147.3, 149.1, 151.2, 153.3
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	85%	10	70.0, 73.3, 71.3, 70.8, 80.7

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

MDG 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	MG, MG, MG, MG, MG
`life_expectancy`	Life expectancy	float	SEL	3%	64	43.349, 43.79, 44.185, 44.626, 45.037
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	17%	46	34.7, 34.9, 35.1, 35.3, 35.6
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	15%	52	145.6, 147.3, 149.1, 151.2, 153.3
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	37	751.0, 730.0, 702.0, 687.0, 684.0
`fertility_rate`	Fertility rate	float	SEL	3%	64	7.343, 7.299, 7.256, 7.212, 7.188
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	47.641, 47.067, 46.507, 45.99, 45.675
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	21.485, 21.033, 20.614, 20.169, 19.767
`physicians_per_1000`	Physicians per 1000	float	SEL	62%	22	0.115, 0.093, 0.097, 0.096, 0.099
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	77%	10	2.40618586540222, 2.79080009460449, 2.43129992485046,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	35%	27	15.0, 23.0, 19.0, 23.0, 30.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	3.99177623, 4.11513853, 4.92866945, 5.00276566, 5.25090027

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

MDG World Bank - Migration Indicators — 66 rows, 9 columns

Loading data…

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

Pending (9) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	MDG, MDG, MDG, MDG, MDG
`country_name`	country_name	string	0%	1	Madagascar, Madagascar, Madagascar, Madagascar, Madagascar
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	23917.0, 21177.0, 23541.0, 26058.0, 28905.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	2	0.2, 0.2, 0.1, 0.1, 0.1
`net_migration`	net_migration	float	0%	59	0.0, 0.0, 0.0, 0.0, -204.0
`remittances_received_usd`	remittances_received_usd	float	23%	51	415448.457, 466609.2396, 711447.1793, 325628.4893, 398838.9373
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	23%	51	0.021666059063343, 0.0204379842739296,...
`remittances_paid_usd`	remittances_paid_usd	float	23%	51	20315429.69, 37328739.17, 34735359.19, 26009574.89, 27386940.0

MDG USAID DHS Program MDG-DHS Health Surveys

173 rows · 2 tables · 2021 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)

MDG DHS - Ethnicity Indicators — 95 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%	89	95.5, 95.2, 96.3, 91.3, 88.2
`men_who_are_literate`	Men who are literate	float	CCL	31%	63	93.6, 92.0, 97.3, 96.9, 88.4

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Madagascar, Madagascar, Madagascar, Madagascar, Madagascar
`survey_year`	survey_year	integer	0%	6	2008, 2021, 2008, 2021, 2008
`region`	region	string	0%	41	....Analamanga excluding capital, ....Analamanga...
`survey_id`	survey_id	string	0%	6	MD2008DHS, MD2021DHS, MD2008DHS, MD2021DHS, MD2008DHS
`survey_type`	survey_type	string	0%	2	DHS, DHS, DHS, DHS, DHS

MDG DHS - Health Indicators — 78 rows, 10 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`contraception_modern_pct`	Contraception modern percent	float	SEL	0%	70	29.3, 37.1, 27.4, 30.5, 29.3
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	46	37.0, 38.0, 40.0, 37.0, 48.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	63	47.0, 50.0, 51.0, 52.0, 74.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	0%	74	77.9, 73.2, 72.0, 61.8, 71.3

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	Madagascar, Madagascar, Madagascar, Madagascar, Madagascar
`survey_year`	survey_year	integer	0%	5	2008, 2021, 2008, 2021, 2008
`region`	region	string	0%	30	....Analamanga excluding capital, ....Analamanga...
`survey_id`	survey_id	string	0%	5	MD2008DHS, MD2021DHS, MD2008DHS, MD2021DHS, MD2008DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

MDG UNHCR Refugee Data Finder MDG-UNHCR Migration

51 rows · 2 tables · 2025 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)

MDG UNHCR - Hosted Populations — 20 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%	-	-

MDG UNHCR - Origin Populations — 31 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%	-	-

MDG LandScan Global (ORNL) MDG-LANDSCAN Modeled Population

45 rows · 3 tables · 2024 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)

MDG 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	MDG
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Madagascar
`admin_code`	Admin code	string	SEL	0%	1	34563404B32462921680697
`area_sqkm`	Area sqkm	float	SEL	0%	1	588543.9586
`pop_2024`	Population count	integer	SEL	0%	1	29287015
`pop_density_2024`	Population density	float	SEL	0%	1	49.76

1 Admin 1 — 1 table(s)

MDG LandScan - Population Admin1 (admin_1) — 22 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	MDG, MDG, MDG, MDG, MDG
`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%	22	Analamanga, Vakinankaratra, Atsimo-Andrefana, Sofia, Atsinanana
`admin_code`	Admin code	string	SEL	0%	22	27540722B10144800929043, 27540722B16458597550107,...
`area_sqkm`	Area sqkm	float	SEL	0%	22	16978.9685, 17311.8709, 66108.1672, 49898.6768, 22718.9943
`pop_2024`	Population count	integer	SEL	0%	22	4003760, 2369628, 2034750, 1713368, 1712463
`pop_density_2024`	Population density	float	SEL	0%	21	235.81, 136.88, 30.78, 34.34, 75.38

Locality Locality — 1 table(s)

MDG LandScan - Cities (locality) — 22 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	MDG, MDG, MDG, MDG, MDG
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	22	Antananarivo, Toamasina, Mahajanga, Toliara, Antsirabe
`admin_code`	Admin code	integer	SEL	0%	22	1985, 2303, 1229, 145, 1335
`area_sqkm`	Area sqkm	float	SEL	0%	22	439.6585, 35.8056, 33.8052, 27.8709, 17.9068
`pop_2024`	Population count	integer	SEL	0%	22	2451815, 365659, 247497, 229440, 177326
`pop_density_2024`	Population density	float	SEL	0%	22	5576.64, 10212.34, 7321.27, 8232.24, 9902.72

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%	22	4255254, 78265, 220110, 118187, 54134
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	21	0.576, 4.672, 1.124, 1.941, 3.276

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

22 rows · 1 table · 2025 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)

MDG GHS-UCDB - Cities (locality) — 22 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%	22	Antananarivo, Antsiramandroso, Ambano, Mahajanga, Amparihimahitsy
`country_code`	Country code	string	SEL	0%	1	MDG, MDG, MDG, MDG, MDG
`population`	Population count	integer	SEL	0%	22	4255254, 310056, 230884, 220110, 180166

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	22	1985, 2224, 1436, 1229, 1536
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Madagascar, Madagascar, Madagascar, Madagascar, Madagascar
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

MDG Glottolog Language Catalog MDG-GLOTTOLOG Language

17 rows · 1 table · 2024 Glottolog Language Catalog 0 1 2 3 12 CCL 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 — 1 table(s)

MDG Glottolog - Languages — 17 rows, 16 columns

Loading data…

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

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	17	amer1248, anta1255, bara1369, mada1271, maha1309
`name`	Name	string	CCL	0%	17	American Sign Language, Antankarana Malagasy, Bara...
`iso639_3`	Iso639 3	string	CCL	12%	15	ase, xmv, bhr, mzc, swb
`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%	5	sign1238, aust1307, aust1307, sign1238, aust1307
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	13	amer1258, nort3207, bara1407, norw1261, nucl1799
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	4	2, 2, 0, 0, 2

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	6%	16	33.8117, -13.2164, -23.9716, -19.04, -24.2
`longitude`	longitude	float	6%	16	-81.6121, 49.2402, 45.5937, 46.87, 44.5
`country_codes`	Country codes	string	0%	3	['BB', 'BF', 'BJ', 'BO', 'CA', 'CD', 'CF', 'CI', 'CN',...
`classification`	classification	string	0%	1	[], [], [], [], []

MDG OpenFactBook MDG-OPENFACTBOOK Country Profile

14 rows · 14 tables · 2024 OpenFactBook 0 1 2 3 89 SEL 2 CCL 573 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 — 14 table(s)

MDG OpenFactBook - Communications — 1 rows, 21 columns

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	2023.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	76.0
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	20.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	2023.0
`country_code`	Country code	string	SEL	0%	1	MDG
`country_name`	Country name	string	SEL	0%	1	Madagascar
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (15) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1	3,000 (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	3000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	(2023 est.) less than 1
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	23.5 million (2023 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	23.5
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	76 (2023 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	state-owned Radio Nationale Malagasy (RNM) and...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	2.0
`internet_country_code_text`	Internet country code text	string	0%	1	.mg
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	20% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	34,000 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	34000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	(2023 est.) less than 1
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	africa/ma.json

MDG OpenFactBook - Economy — 1 rows, 138 columns

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Field details — 144 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`real_gdp_per_capita_real_gdp_per_capita_2024_numeric`	Real gdp per capita 2024 (numeric)	float	SEL	0%	1	1700.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	17.421
`country_code`	Country code	string	SEL	0%	1	MDG
`country_name`	Country name	string	SEL	0%	1	Madagascar
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (139) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	low-income East African island economy; natural resource...
`economic_overview_numeric`	economic_overview_numeric	float	0%	1	-19.0
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$52.968 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	52.968
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$50.833 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	50.833
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$48.782 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	48.782
`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	4.2% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	4.2
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	4.2% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	4.2
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	4.2% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	4.2
`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	$1,700 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$1,600 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	1600.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$1,600 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	1600.0
`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	$17.421 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	9.9% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	9.9
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	8.2% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	8.2
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text`	Inflation rate consumer prices 2021 (text)	string	0%	1	5.8% (2021 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric`	Inflation rate consumer prices 2021 (numeric)	float	0%	1	5.8
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+109 more extension fields — download the CSV/Parquet to see them all.

MDG OpenFactBook - Energy — 1 rows, 35 columns

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Field details — 35 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	36.1
`country_code`	Country code	string	SEL	0%	1	MDG
`country_name`	Country name	string	SEL	0%	1	Madagascar
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (31) — 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	36.1% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	71.6%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	71.6
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	10.9%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	10.9
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	759,000 kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	759000.0
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	2.506 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	2.506
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	139 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	139.0
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	64.8% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	64.8
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	3.2% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	3.2
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	31.1% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	31.1
`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	472,000 metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	472000.0
`coal_imports_text`	coal_imports_text	string	0%	1	472,000 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	472000.0
`coal_proven_reserves_text`	coal_proven_reserves_text	string	0%	1	150 million metric tons (2023 est.)
`coal_proven_reserves_numeric`	coal_proven_reserves_numeric	float	0%	1	150.0
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	20,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	20000.0
`energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text`	energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text	string	0%	1	1.816 million Btu/person (2023 est.)
`energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric`	energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric	float	0%	1	1.816
`source_section`	source_section	string	0%	1	Energy
+1 more extension field — download the CSV/Parquet to see them all.

MDG OpenFactBook - Environment — 1 rows, 42 columns

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Field details — 46 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	70.3
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	17.5
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	40.6
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	4.26
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	3.769
`country_code`	Country code	string	SEL	0%	1	MDG
`country_name`	Country name	string	SEL	0%	1	Madagascar
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (38) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	erosion and soil degradation from deforestation and...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Biodiversity, Climate Change, Climate Change-Kyoto...
`international_environmental_agreements_party_to_numeric`	international_environmental_agreements_party_to_numeric	float	0%	1	2006.0
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	none of the selected agreements
`climate_text`	climate_text	string	0%	1	tropical along coast, temperate inland, arid in south
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	70.3% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 5.2% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	5.2
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	1.0
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 64.1% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	64.1
`land_use_forest_text`	land_use_forest_text	string	0%	1	17.5% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	12.2% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	12.2
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	40.6% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	4.26% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	3.936 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	3.936
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	1.057 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric	float	0%	1	1.057
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	2.879 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	2.879
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	16.7 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	16.7
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	3.769 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	9.2% (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	9.2
`total_water_withdrawal_municipal_text`	total_water_withdrawal_municipal_text	string	0%	1	395 million cubic meters (2022 est.)
`total_water_withdrawal_municipal_numeric`	total_water_withdrawal_municipal_numeric	float	0%	1	395.0
+8 more extension fields — download the CSV/Parquet to see them all.

MDG OpenFactBook - Ethnic Groups — 1 rows, 8 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	MDG
`country_name`	Country name	string	SEL	0%	1	Madagascar
`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
`nationality_noun_text`	nationality_noun_text	string	0%	1	Malagasy (singular and plural)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Malagasy
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Malayo-Indonesian (Merina and related Betsileo), Cotiers...
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	africa/ma.json

MDG OpenFactBook - Geography — 1 rows, 52 columns

Loading data…

Field details — 55 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	587041.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	581540.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	5501.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	0.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	4828.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	2876.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	0.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	70.3
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	17.5
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	10860.0
`country_code`	Country code	string	SEL	0%	1	MDG
`country_name`	Country name	string	SEL	0%	1	Madagascar
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (42) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Southern Africa, island in the Indian Ocean, east of Mozambique
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	20 00 S, 47 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	20.0
`map_references_text`	map_references_text	string	0%	1	Africa
`area_total_text`	area_total_text	string	0%	1	587,041 sq km
`area_land_text`	area_land_text	string	0%	1	581,540 sq km
`area_water_text`	area_water_text	string	0%	1	5,501 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	almost four times the size of Georgia; slightly less...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	0 km
`coastline_text`	coastline_text	string	0%	1	4,828 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 100 nm from the 2,500-m isobath
`maritime_claims_continental_shelf_numeric`	maritime_claims_continental_shelf_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	tropical along coast, temperate inland, arid in south
`terrain_text`	terrain_text	string	0%	1	narrow coastal plain, high plateau and mountains in center
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Maromokotro 2,876 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Indian Ocean 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	615 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	615.0
`natural_resources_text`	natural_resources_text	string	0%	1	graphite, chromite, coal, bauxite, rare earth elements,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	70.3% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 5.2% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	5.2
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	1.0
+12 more extension fields — download the CSV/Parquet to see them all.

MDG OpenFactBook - Government — 1 rows, 87 columns

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Field details — 117 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	MDG
`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
`country_name_conventional_long_form_text`	country_name_conventional_long_form_text	string	0%	1	Republic of Madagascar
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Madagascar
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	République de Madagascar/Repoblikan'i Madagasikara
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Madagascar/Madagasikara
`country_name_former_text`	country_name_former_text	string	0%	1	Malagasy Republic
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	a variant of the name was first used by 13th-century...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	13.0
`government_type_text`	government_type_text	string	0%	1	semi-presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Antananarivo
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	18 55 S, 47 31 E
`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+3 (8 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	3.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	the name means "City of the Thousand," from the Malagasy...
`capital_etymology_numeric`	capital_etymology_numeric	float	0%	1	17.0
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	6 provinces (faritany); Antananarivo, Antsiranana,...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	6.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system based on the old French civil code and...
`constitution_history_text`	constitution_history_text	string	0%	1	previous 1992; latest passed by referendum 17 November...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	1992.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the president of the republic in...
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	accepts compulsory ICJ jurisdiction with reservations;...
`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 Madagascar; in the case...
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	no
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	unknown
`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	Michael RANDRIANIRINA (Col.)
`executive_branch_head_of_government_text`	executive_branch_head_of_government_text	string	0%	1	Prime Minister Herintsalama RAJAONARIVELO (since 22 October 2025)
+85 more extension fields — download the CSV/Parquet to see them all.

MDG OpenFactBook - Introduction — 1 rows, 6 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	MDG
`country_name`	Country name	string	SEL	0%	1	Madagascar
`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	Madagascar was one of the last major habitable...
`background_numeric`	background_numeric	float	0%	1	350.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	africa/ma.json

MDG OpenFactBook - Languages — 1 rows, 6 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	MDG
`country_name`	Country name	string	SEL	0%	1	Madagascar
`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_text`	languages_text	string	0%	1	Malagasy (official) 99.9%, French (official) 23.6%,...
`languages_numeric`	languages_numeric	float	0%	1	99.9
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	africa/ma.json

MDG 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	MDG
`country_name`	Country name	string	SEL	0%	1	Madagascar
`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	1,256 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	1256.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	9,868 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	9868.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	africa/ma.json

MDG OpenFactBook - Military And Security — 1 rows, 20 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	MDG
`country_name`	Country name	string	SEL	0%	1	Madagascar
`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	Madagascar Armed Forces (aka Armed forces 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	0.7% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	0.7
`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	0.7% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	0.7
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	estimated 13,000 Armed Forces; estimated 10,000...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	13000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the military's inventory consists mostly of older or...
`military_equipment_inventories_and_acquisitions_numeric`	military_equipment_inventories_and_acquisitions_numeric	float	0%	1	2025.0
`military_service_age_and_obligation_text`	military_service_age_and_obligation_text	string	0%	1	18 years of age for voluntary military service for men...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	18.0
`military_note_text`	military_note_text	string	0%	1	the military’s responsibilities include ensuring...
`military_note_numeric`	military_note_numeric	float	0%	1	2025.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	africa/ma.json

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

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Field details — 150 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	31345040.0
`population_male_numeric`	Population male	float	SEL	0%	1	15647362.0
`population_female_numeric`	Population female	float	SEL	0%	1	15697678.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	37.0
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	59.1
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	3.9
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	73.4
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	66.9
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	6.5
`median_age_total_numeric`	Median age	float	SEL	0%	1	20.5
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	2.15
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	27.54
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	5.95
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-0.08
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	40.6
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	4.26
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.03
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	1.01
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	445.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	38.4
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	68.8
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	3.47
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	1.71
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.17
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	74.7
`country_code`	Country code	string	SEL	0%	1	MDG
`country_name`	Country name	string	SEL	0%	1	Madagascar
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (122) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	31,345,040 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	15,647,362
`population_female_text`	population_female_text	string	0%	1	15,697,678
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	37% (male 5,507,847/female 5,400,551)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	59.1% (male 8,720,012/female 8,673,880)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	3.9% (2024 est.) (male 532,642/female 617,782)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	73.4 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	66.9 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	6.5 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	15.3 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	15.3
`median_age_total_text`	median_age_total_text	string	0%	1	20.5 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	21.1 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	21.1
`median_age_female_text`	median_age_female_text	string	0%	1	21.5 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	21.5
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	2.15% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	27.54 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	5.95 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-0.08 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	most of population lives on the eastern half of the...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	40.6% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	4.26% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	3.872 million ANTANANARIVO (capital) (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	3.872
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.03 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.02 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.02
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	1.01 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	1.01
+92 more extension fields — download the CSV/Parquet to see them all.

MDG OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 20 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	MDG
`country_name`	Country name	string	SEL	0%	1	Madagascar
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	1.4
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	0.6

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	Church of Jesus Christ in Madagascar/Malagasy Lutheran...
`religions_numeric`	religions_numeric	float	0%	1	34.0
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	africa/ma.json

Pending (11) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_church_of_jesus_christ_in_madagascar_malagasy_lutheran_church_anglican_church_pct_synth`	Church of Jesus Christ in Madagascar/Malagasy Lutheran Church/Anglican Church	numeric	0%	-	34.0
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	32.3
`composition_religion_other_christian_pct_synth`	other Christian	numeric	0%	-	8.1
`composition_religion_traditional_animist_pct_synth`	traditional/Animist	numeric	0%	-	1.7
`composition_religion_none_pct_synth`	none	numeric	0%	-	21.9
`composition_ethnicity_malayo_indonesian_pct_synth`	Malayo-Indonesian	numeric	0%	-	-
`composition_ethnicity_cotiers_pct_synth`	Cotiers	numeric	0%	-	-
`composition_ethnicity_french_pct_synth`	French	numeric	0%	-	-
`composition_ethnicity_indian_pct_synth`	Indian	numeric	0%	-	-
`composition_ethnicity_creole_pct_synth`	Creole	numeric	0%	-	-
`composition_ethnicity_comoran_pct_synth`	Comoran	numeric	0%	-	-

MDG OpenFactBook - Transportation — 1 rows, 28 columns

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Field details — 30 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`airports_numeric`	Airports count	float	SEL	0%	1	93.0
`country_code`	Country code	string	SEL	0%	1	MDG
`country_name`	Country name	string	SEL	0%	1	Madagascar
`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
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	0%	1	5R
`civil_aircraft_registration_country_code_prefix_numeric`	civil_aircraft_registration_country_code_prefix_numeric	float	0%	1	5.0
`airports_text`	airports_text	string	0%	1	93 (2025)
`railways_total_text`	railways_total_text	string	0%	1	836 km (2018)
`railways_total_numeric`	railways_total_numeric	float	0%	1	836.0
`railways_narrow_gauge_text`	railways_narrow_gauge_text	string	0%	1	836 km (2018) 1.000-m gauge
`railways_narrow_gauge_numeric`	railways_narrow_gauge_numeric	float	0%	1	836.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	29 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	29.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	general cargo 16, oil tanker 2, other 11
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	16.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	13 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	13.0
`ports_large_text`	ports_large_text	float	0%	1	0
`ports_large_numeric`	ports_large_numeric	float	0%	1	0.0
`ports_medium_text`	ports_medium_text	float	0%	1	0
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	0.0
`ports_small_text`	ports_small_text	float	0%	1	2
`ports_small_numeric`	ports_small_numeric	float	0%	1	2.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	11
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	11.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	5
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	5.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Andoany, Antsiranana, Antsohim Bondrona, Iharana,...
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	africa/ma.json

MDG D-PLACE MDG-DPLACE Ethnographic Societies

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

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

0 Admin 0 — 2 table(s)

MDG D-PLACE - Dplace Ea Societies — 6 rows, 23 columns

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

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	MDG, MDG, MDG, MDG, MDG
`society_id`	Society id	string	CCL	0%	6	Eh10, Eh2, Eh3, Eh7, Eh8
`society_name`	Society name	string	CCL	0%	6	Betsileo, Merina, Tanala, Antandroy, Sakalava
`language_glottocode`	Language glottocode	string	CCL	0%	6	bets1235, meri1243, tana1285, tand1256, saka1291
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	6	EA017:4; EA018:4; EA019:1; EA020:1; EA021:9; EA022:9;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	6	EA006:3; EA007:8; EA008:7; EA009:6; EA023:7; EA025:15,...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	6	EA001:0; EA002:0; EA003:0; EA004:2; EA005:8; EA028:NA;...
`political_complexity`	Political complexity	string	CCL	0%	5	EA032:NA; EA033:NA, EA032:3; EA033:4, EA032:4; EA033:2,...
`religion_importance`	Religion importance	string	CCL	0%	3	EA034:NA; EA112:NA, EA034:NA; EA112:NA, EA034:2;...
`residence_pattern`	Residence pattern	string	CCL	0%	3	EA010:8; EA011:1; EA012:8; EA013:9; EA014:11, EA010:10;...
`settlement_pattern`	settlement_pattern	string	CCL	0%	6	EA030:NA; EA031:NA, EA030:7; EA031:7, EA030:7; EA031:3,...

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Madagascar, Madagascar, Madagascar, Madagascar, Madagascar
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	5	-22.0, -19.0, -22.0, -25.0, -21.0
`longitude`	longitude	float	0%	4	47.0, 46.0, 47.0, 46.0, 43.93
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon, point_in_polygon,...
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate, approximate, approximate, approximate
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024, 2024, 2024

MDG D-PLACE - Dplace Ea Societies Decoded — 6 rows, 49 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	MDG, MDG, MDG, MDG, MDG
`society_id`	society_id	string	CCL	0%	6	Eh10, Eh2, Eh3, Eh7, Eh8
`society_name`	society_name	string	CCL	0%	6	Betsileo, Merina, Tanala, Antandroy, Sakalava
`language_glottocode`	language_glottocode	string	CCL	0%	6	bets1235, meri1243, tana1285, tand1256, saka1291
`language_name`	language_name	string	CCL	0%	1	, , , ,

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Madagascar, Madagascar, Madagascar, Madagascar, Madagascar
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	5	-22.0, -19.0, -22.0, -25.0, -21.0
`longitude`	longitude	float	0%	4	47.0, 46.0, 47.0, 46.0, 43.93
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon, point_in_polygon,...
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate, approximate, approximate, approximate
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024, 2024, 2024
`jurisdictional_hierarchy_of_local_community`	jurisdictional_hierarchy_of_local_community	integer	17%	3	3, 4, 2, 3, 3
`jurisdictional_hierarchy_beyond_local_community`	jurisdictional_hierarchy_beyond_local_community	integer	17%	3	4, 2, 2, 4, 3
`religion_high_gods`	religion_high_gods	integer	50%	1	2, 2, 2
`trance_states`	trance_states	integer	67%	1	6, 6
`settlement_patterns`	settlement_patterns	integer	17%	3	7, 7, 3, 6, 7
`mean_size_of_local_communities`	mean_size_of_local_communities	integer	50%	3	7, 3, 4
`marital_residence_first_years`	marital_residence_first_years	integer	0%	2	8, 10, 8, 8, 8
`residence_transfer_prevailing_pattern`	residence_transfer_prevailing_pattern	integer	0%	1	1, 1, 1, 1, 1
`marital_residence_prevailing_pattern`	marital_residence_prevailing_pattern	integer	0%	2	8, 10, 8, 8, 8
`residence_transfer_alternate`	residence_transfer_alternate	integer	0%	2	9, 9, 9, 3, 9
`marital_residence_alternate`	marital_residence_alternate	integer	0%	2	11, 11, 11, 9, 11
`largest_patrilineal_kin_group`	largest_patrilineal_kin_group	integer	0%	3	4, 5, 4, 3, 3
`largest_patrilineal_exogamous_group`	largest_patrilineal_exogamous_group	integer	0%	3	4, 1, 3, 1, 3
`largest_matrilineal_kin_group`	largest_matrilineal_kin_group	integer	0%	2	1, 2, 2, 1, 1
`largest_matrilineal_exogamous_group`	largest_matrilineal_exogamous_group	integer	0%	2	1, 2, 2, 1, 1
`cognatic_kin_groups`	cognatic_kin_groups	integer	0%	1	9, 9, 9, 9, 9
`secondary_cognatic_kin_group`	secondary_cognatic_kin_group	integer	0%	1	9, 9, 9, 9, 9
`kin_terms_for_cousins`	kin_terms_for_cousins	integer	17%	2	4, 5, 4, 4, 4
`descent_major_type`	descent_major_type	integer	0%	2	1, 2, 2, 1, 1
+14 more extension fields — download the CSV/Parquet to see them all.

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

4 rows · 2 tables · 2026 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)

MDG NGA GNS - Language — 3 rows, 9 columns

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	MDG, MDG, MDG
`gns_language_code`	gns_language_code	string	CCL	0%	3	fra, mlg, eng
`gns_language_name`	gns_language_name	string	CCL	0%	3	French, Malagasy, English
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	3	49, 23, 6
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	3	62.8205, 29.4872, 7.6923
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	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

MDG 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	MDG
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Madagascar
`gns_language_count`	gns_language_count	integer	CCL	0%	1	3
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9948
`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	38304
`gns_feature_count`	gns_feature_count	integer	0%	1	31683
`gns_endonym_count`	gns_endonym_count	integer	0%	1	38302
`gns_exonym_count`	gns_exonym_count	integer	0%	1	2
`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	28418
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	24306
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	4770
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	3396
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	3599
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	2638
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	870
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	853
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	175
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	129
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	363
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	330
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	107
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	29
`gns_name_count_undersea`	gns_name_count_undersea	integer	0%	1	2
`gns_feature_count_undersea`	gns_feature_count_undersea	integer	0%	1	2

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

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

1 rows × 288 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

MDG Inform - Risk Index — 1 rows, 288 columns

Loading data…

Field details — 288 fields (type, nulls, unique, samples)

Pending (288) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	MDG
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	196151.142857143
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.257142857142857
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	0.61687975345189
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	581540.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.025
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.344218761564164
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	6.8
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	2.30923342704773
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	7.5
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	7.8
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	7.9
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	10.0
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	7.2
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	6.6
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	9.0
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	5.9
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	4.9
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	9.6
`inform_cc_inf_com`	Communication	float	0%	1	6.2
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	6.4
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	5.8
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	4.4
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	8.1
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	9.2
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	8.9
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	9.3
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	9.4
`inform_institutional_capacity`	Institutional	float	0%	1	7.1
`inform_cc_ins_gov`	Governance	float	0%	1	7.1
+258 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Language	Place names	Share*	Script
French (fra)	49	62.8%	—
Malagasy (mlg)	23	29.5%	—
English (eng)	6	7.7%	—

Source	Type	Access
INSTAT Madagascar	official_nso	pdf_only
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
NGA GEOnet Names Server (GNS)	official_government	bulk_download
INFORM Risk Index (EC-JRC)	international_organization	api
World Bank Open Data	international_organization	api
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
Glottolog Language Catalog	academic	bulk_download
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
USAID DHS Program (US Agency for International Development · Demographic and Health Surveys)	international_organization	api
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
OpenFactBook	community_compilation	bulk_download