Iran

IRN Global Data Lab IRN-GDL Development Indices

1,054 rows · 1 table(s) Global Data Lab 0 1 2 3 9 SEL 2 ext ▶

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

1 Admin 1 — 1 table(s)

IRN GDL - Subnational Indices — 1,054 rows, 11 columns

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	IRN, IRN, IRN, IRN, IRN
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	31	Total, Ardebil, Bushehr, Chaharmahal and Bakhtiyari,...
`human_development_index`	Human development index	float	SEL	0%	69	0.669, 0.639, 0.703, 0.678, 0.678
`health_index`	Health index	float	SEL	0%	75	0.678, 0.649, 0.728, 0.717, 0.712
`education_index`	Education index	float	SEL	0%	71	0.6, 0.559, 0.632, 0.586, 0.592
`income_index`	Income index	float	SEL	0%	60	0.737, 0.72, 0.756, 0.741, 0.738
`life_expectancy`	Life expectancy	float	SEL	0%	91	64.07, 62.21, 67.32, 66.57, 66.3
`mean_years_schooling`	Mean years schooling	float	SEL	0%	92	9.003, 7.442, 9.723, 8.389, 8.536

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	4	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

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

461 rows · 3 table(s) HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 23 SEL 131 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)

IRN Cod Ps - Iran 2016 Census (admin_0) — 1 rows, 69 columns

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Field details — 73 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	1	IR
`region_name`	Region name	string	SEL	0%	1	Iran (Islamic Republic of)
`T_TL`	Total population	integer	SEL	0%	1	79926270
`M_TL`	Male population	integer	SEL	0%	1	40498442
`F_TL`	Female population	integer	SEL	0%	1	39427828
`population_0_14`	Population aged 0-14 (both sexes, derived)	integer	SEL	0%	-	-
`population_15_64`	Population aged 15-64 (both sexes, derived)	integer	SEL	0%	-	-
`population_60_plus`	Population aged 60 and over (both sexes, derived)	integer	SEL	0%	-	-
`population_65_plus`	Population aged 65 and over (both sexes, derived)	integer	SEL	0%	-	-

Extension Fields (64) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`region_name_fa`	Region name (Farsi)	string	0%	1	ایران (جمهوری اسلامی)
`M_00_04`	Male population age 0-4	integer	0%	1	3649800
`M_05_09`	Male population age 5-9	integer	0%	1	3286030
`M_10_14`	Male population age 10-14	integer	0%	1	2911423
`M_15_19`	Male population age 15-19	integer	0%	1	2785688
`M_20_24`	Male population age 20-24	integer	0%	1	3236975
`M_25_29`	Male population age 25-29	integer	0%	1	4143445
`M_30_34`	Male population age 30-34	integer	0%	1	4340448
`M_35_39`	Male population age 35-39	integer	0%	1	3572403
`M_40_44`	Male population age 40-44	integer	0%	1	2813890
`M_45_49`	Male population age 45-49	integer	0%	1	2454427
`M_50_54`	Male population age 50-54	integer	0%	1	1975574
`M_55_59`	Male population age 55-59	integer	0%	1	1669934
`M_60_64`	Male population age 60-64	integer	0%	1	1252663
`M_65_69`	Male population age 65-69	integer	0%	1	808910
`M_70_74`	Male population age 70-74	integer	0%	1	571112
`M_75_79`	Male population age 75-79	integer	0%	1	451419
`M_80_84`	Male population age 80-84	integer	0%	1	343231
`M_85_89`	Male population age 85-89	integer	0%	1	161448
`M_90_94`	Male population age 90-94	integer	0%	1	57716
`M_95_99`	Male population age 95-99	integer	0%	1	8730
`M_100Plus`	Male population age 100+	integer	0%	1	3176
`F_00_04`	Female population age 0-4	integer	0%	1	3443204
`F_05_09`	Female population age 5-9	integer	0%	1	3125247
`F_10_14`	Female population age 10-14	integer	0%	1	2776961
`F_15_19`	Female population age 15-19	integer	0%	1	2673309
`F_20_24`	Female population age 20-24	integer	0%	1	3155904
`F_25_29`	Female population age 25-29	integer	0%	1	4057688
`F_30_34`	Female population age 30-34	integer	0%	1	4260465
`F_35_39`	Female population age 35-39	integer	0%	1	3465195
+34 more extension fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

IRN Cod Ps - Iran 2016 Census (admin_1) — 31 rows, 70 columns

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Field details — 74 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	31	IR001, IR002, IR003, IR004, IR005
`region_name`	Region name	string	SEL	0%	31	Alborz, Ardabil, Bushehr, Chaharmahal and Bakhtiari,...
`T_TL`	Total population	integer	SEL	0%	31	2712400, 1270420, 1163400, 947763, 3909652
`M_TL`	Male population	integer	SEL	0%	31	1376335, 650255, 620722, 482356, 1989400
`F_TL`	Female population	integer	SEL	0%	31	1336065, 620165, 542678, 465407, 1920252
`population_0_14`	Population aged 0-14 (both sexes, derived)	integer	SEL	0%	-	-
`population_15_64`	Population aged 15-64 (both sexes, derived)	integer	SEL	0%	-	-
`population_60_plus`	Population aged 60 and over (both sexes, derived)	integer	SEL	0%	-	-
`population_65_plus`	Population aged 65 and over (both sexes, derived)	integer	SEL	0%	-	-

Extension Fields (65) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`region_name_fa`	Region name (Farsi)	string	0%	31	البرز‎, اردبیل, بوشهر, چهارمحال و بختیاری, آذربایجان شرقی
`province`	province	string	0%	31	Alborz, Ardabil, Bushehr, Chaharmahal and Bakhtiari,...
`M_00_04`	Male population age 0-4	integer	0%	31	106034, 56614, 59952, 48365, 166096
`M_05_09`	Male population age 5-9	integer	0%	31	100302, 52592, 52958, 41620, 156081
`M_10_14`	Male population age 10-14	integer	0%	31	91688, 46553, 42910, 36531, 138270
`M_15_19`	Male population age 15-19	integer	0%	31	84049, 44954, 39459, 33444, 135230
`M_20_24`	Male population age 20-24	integer	0%	31	97318, 56695, 53318, 40216, 148894
`M_25_29`	Male population age 25-29	integer	0%	31	139156, 68838, 75998, 51671, 189819
`M_30_34`	Male population age 30-34	integer	0%	31	161594, 65259, 79454, 51026, 199811
`M_35_39`	Male population age 35-39	integer	0%	31	139246, 56476, 60884, 39890, 179143
`M_40_44`	Male population age 40-44	integer	0%	31	108237, 45776, 42435, 32724, 148364
`M_45_49`	Male population age 45-49	integer	0%	31	93098, 42259, 32748, 27057, 128764
`M_50_54`	Male population age 50-54	integer	0%	31	73280, 30920, 22410, 21667, 103574
`M_55_59`	Male population age 55-59	integer	0%	31	60387, 25159, 19777, 17714, 87340
`M_60_64`	Male population age 60-64	integer	0%	31	45273, 17283, 15222, 13474, 67249
`M_65_69`	Male population age 65-69	integer	0%	31	28884, 13085, 8309, 9056, 44740
`M_70_74`	Male population age 70-74	integer	0%	31	19694, 10194, 4596, 5364, 34874
`M_75_79`	Male population age 75-79	integer	0%	31	13981, 7578, 4893, 5269, 27921
`M_80_84`	Male population age 80-84	integer	0%	31	9042, 5911, 3110, 4140, 20002
`M_85_89`	Male population age 85-89	integer	0%	30	3535, 3167, 1818, 2332, 9629
`M_90_94`	Male population age 90-94	integer	0%	31	1317, 864, 398, 702, 3270
`M_95_99`	Male population age 95-99	integer	0%	31	179, 65, 52, 75, 276
`M_100Plus`	Male population age 100+	integer	0%	27	41, 13, 21, 19, 53
`F_00_04`	Female population age 0-4	integer	0%	31	100959, 52000, 57288, 45050, 154760
`F_05_09`	Female population age 5-9	integer	0%	31	94653, 48550, 50770, 39866, 147170
`F_10_14`	Female population age 10-14	integer	0%	31	86318, 43928, 41437, 35050, 131617
`F_15_19`	Female population age 15-19	integer	0%	31	82618, 42837, 34862, 33267, 124167
`F_20_24`	Female population age 20-24	integer	0%	31	100903, 52023, 44365, 39547, 139899
`F_25_29`	Female population age 25-29	integer	0%	31	142197, 62665, 61668, 48776, 179808
`F_30_34`	Female population age 30-34	integer	0%	31	161712, 63053, 62879, 48472, 196308
+35 more extension fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

IRN Cod Ps - Iran 2016 Census (admin_2) — 429 rows, 7 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	100	IR001001, IR001002, IR001003, IR001004, IR001005
`region_name`	Region name	string	SEL	0%	100	Eshtehard, Fardis, Karaj, Nazarabad, Savojbolagh
`T_TL`	Total population	integer	SEL	0%	100	37876, 271829, 1973470, 152437, 259973
`M_TL`	Male population	integer	SEL	0%	100	19605, 136682, 999790, 78275, 133503
`F_TL`	Female population	integer	SEL	0%	100	18271, 135147, 973680, 74162, 126470

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

Field Name	Label	Type	Nulls	Unique	Samples
`region_name_fa`	Region name (Farsi)	string	0%	100	شهرستان اشتهارد, شهرستان فردیس, شهرستان کرج, شهرستان...
`province`	province	string	0%	7	Alborz, Alborz, Alborz, Alborz, Alborz

IRN WorldPop Global High Resolution Population Denominators — Age & Sex (constrained 2020) IRN-WORLDPOP_AGESEX Modeled Population

460 rows · 2 table(s) WorldPop Global High Resolution Population Denominators — Age & Sex (constrained 2020) 0 1 2 3 16 SEL ▶

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1 Admin 1 — 1 table(s)

IRN Worldpop Agesex - Population Admin1 (admin_1) — 31 rows, 48 columns

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Field details — 48 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin unit P-code (HDX COD)	string	SEL	0%	31	IR028, IR024, IR012, IR015, IR006
`admin_name`	Admin unit name	string	SEL	0%	31	Tehran, Razavi Khorasan, Isfahan, Khuzestan, Fars
`T_TL`	Total resident population (2020, modeled)	integer	SEL	0%	31	12499737, 6254970, 5504413, 4746797, 4654428
`M_TL`	Male resident population (2020, modeled)	integer	SEL	0%	31	6264035, 3111717, 2771762, 2383050, 2330314
`F_TL`	Female resident population (2020, modeled)	integer	SEL	0%	31	6235702, 3143253, 2732651, 2363747, 2324114
`pop_0_14`	Population aged 0-14 (2020, modeled)	integer	SEL	0%	31	2429343, 1597256, 1147372, 1285067, 1044099
`pop_15_64`	Population aged 15-64 (2020, modeled)	integer	SEL	0%	31	9213339, 4268466, 3971921, 3249634, 3335484
`pop_65_plus`	Population aged 65+ (2020, modeled)	integer	SEL	0%	31	857055, 389248, 385120, 212096, 274845

Pending (40) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_name_local`	Admin unit name (native script)	string	0%	31	تهران, خراسان رضوی, اصفهان, خوزستان, فارس
`parent_pcode`	Parent admin unit P-code	string	0%	1	IR, IR, IR, IR, IR
`parent_name`	Parent admin unit name	string	0%	1	Iran (Islamic Republic of), Iran (Islamic Republic of),...
`m_00`	Male, age under 1 (2020, modeled)	integer	0%	31	64973, 48767, 33326, 38013, 31132
`m_01`	Male, age 1-4 (2020, modeled)	integer	0%	31	302407, 215648, 148813, 179637, 142832
`m_05`	Male, age 5-9 (2020, modeled)	integer	0%	31	433814, 290287, 203225, 230068, 184405
`m_10`	Male, age 10-14 (2020, modeled)	integer	0%	31	432929, 260815, 196513, 207686, 176035
`m_15`	Male, age 15-19 (2020, modeled)	integer	0%	31	334764, 206430, 155340, 184748, 150256
`m_20`	Male, age 20-24 (2020, modeled)	integer	0%	31	359007, 205805, 167526, 161899, 157273
`m_25`	Male, age 25-29 (2020, modeled)	integer	0%	31	534698, 261107, 237086, 204832, 209103
`m_30`	Male, age 30-34 (2020, modeled)	integer	0%	31	731328, 339457, 299049, 253275, 254742
`m_35`	Male, age 35-39 (2020, modeled)	integer	0%	31	715948, 310446, 310396, 248460, 247429
`m_40`	Male, age 40-44 (2020, modeled)	integer	0%	31	555134, 230179, 244256, 182615, 182877
`m_45`	Male, age 45-49 (2020, modeled)	integer	0%	31	430456, 178572, 185408, 123397, 140285
`m_50`	Male, age 50-54 (2020, modeled)	integer	0%	31	363313, 157844, 153702, 108711, 129104
`m_55`	Male, age 55-59 (2020, modeled)	integer	0%	31	315618, 124148, 141445, 92253, 108224
`m_60`	Male, age 60-64 (2020, modeled)	integer	0%	31	265450, 90055, 106537, 63968, 81679
`m_65`	Male, age 65-69 (2020, modeled)	integer	0%	31	200386, 87212, 82246, 43955, 50145
`m_70`	Male, age 70-74 (2020, modeled)	integer	0%	31	111277, 45514, 46051, 26236, 33374
`m_75`	Male, age 75-79 (2020, modeled)	integer	0%	31	59980, 30148, 30138, 16522, 23398
`m_80`	Male, age 80+ (2020, modeled)	integer	0%	31	52553, 29283, 30705, 16775, 28021
`f_00`	Female, age under 1 (2020, modeled)	integer	0%	31	65554, 48517, 32971, 35373, 29714
`f_01`	Female, age 1-4 (2020, modeled)	integer	0%	31	303758, 208316, 146163, 173385, 131780
`f_05`	Female, age 5-9 (2020, modeled)	integer	0%	31	415384, 272900, 195662, 218429, 179641
`f_10`	Female, age 10-14 (2020, modeled)	integer	0%	31	410524, 252006, 190699, 202476, 168560
`f_15`	Female, age 15-19 (2020, modeled)	integer	0%	31	327050, 210052, 155360, 184800, 149783
`f_20`	Female, age 20-24 (2020, modeled)	integer	0%	31	375602, 210185, 175586, 169745, 159086
`f_25`	Female, age 25-29 (2020, modeled)	integer	0%	31	558377, 265525, 242261, 209841, 212468
`f_30`	Female, age 30-34 (2020, modeled)	integer	0%	31	729059, 339499, 300116, 252123, 260420
`f_35`	Female, age 35-39 (2020, modeled)	integer	0%	31	683299, 317879, 300498, 244540, 248494
+10 more pending fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

IRN Worldpop Agesex - Population Admin2 (admin_2) — 429 rows, 48 columns

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Field details — 48 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin unit P-code (HDX COD)	string	SEL	0%	100	IR028015, IR024019, IR012011, IR001003, IR005019
`admin_name`	Admin unit name	string	SEL	0%	100	Tehran, Mashhad, Isfahan, Karaj, Tabriz
`T_TL`	Total resident population (2020, modeled)	integer	SEL	0%	100	8565609, 3492371, 2557366, 2156179, 1925306
`M_TL`	Male resident population (2020, modeled)	integer	SEL	0%	100	4251825, 1744823, 1281751, 1084523, 972912
`F_TL`	Female resident population (2020, modeled)	integer	SEL	0%	100	4313784, 1747548, 1275615, 1071656, 952394
`pop_0_14`	Population aged 0-14 (2020, modeled)	integer	SEL	0%	100	1466465, 848263, 503283, 432048, 389722
`pop_15_64`	Population aged 15-64 (2020, modeled)	integer	SEL	0%	99	6409230, 2447659, 1878723, 1603504, 1398878
`pop_65_plus`	Population aged 65+ (2020, modeled)	integer	SEL	0%	100	689914, 196449, 175360, 120627, 136706

Pending (40) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_name_local`	Admin unit name (native script)	string	0%	100	شهرستان تهران, شهرستان مشهد, شهرستان اصفهان, شهرستان...
`parent_pcode`	Parent admin unit P-code	string	0%	31	IR028, IR024, IR012, IR001, IR005
`parent_name`	Parent admin unit name	string	0%	31	Tehran, Razavi Khorasan, Isfahan, Alborz, East Azerbaijan
`m_00`	Male, age under 1 (2020, modeled)	integer	0%	97	39495, 27051, 12982, 13195, 11357
`m_01`	Male, age 1-4 (2020, modeled)	integer	0%	100	174617, 112986, 63795, 56493, 52270
`m_05`	Male, age 5-9 (2020, modeled)	integer	0%	100	258772, 155305, 90575, 80549, 68690
`m_10`	Male, age 10-14 (2020, modeled)	integer	0%	100	273718, 137999, 89458, 68332, 66959
`m_15`	Male, age 15-19 (2020, modeled)	integer	0%	100	210494, 110301, 70238, 57614, 53425
`m_20`	Male, age 20-24 (2020, modeled)	integer	0%	100	234025, 117596, 73832, 63739, 54784
`m_25`	Male, age 25-29 (2020, modeled)	integer	0%	100	358020, 152933, 111703, 96480, 77254
`m_30`	Male, age 30-34 (2020, modeled)	integer	0%	100	483555, 198855, 132878, 136923, 114891
`m_35`	Male, age 35-39 (2020, modeled)	integer	0%	100	474051, 176886, 143248, 130085, 112310
`m_40`	Male, age 40-44 (2020, modeled)	integer	0%	100	382623, 133050, 115060, 92512, 82512
`m_45`	Male, age 45-49 (2020, modeled)	integer	0%	100	306844, 105172, 89504, 67685, 65470
`m_50`	Male, age 50-54 (2020, modeled)	integer	0%	100	263742, 93763, 78039, 60486, 56033
`m_55`	Male, age 55-59 (2020, modeled)	integer	0%	100	243259, 73685, 72802, 55766, 50875
`m_60`	Male, age 60-64 (2020, modeled)	integer	0%	99	210670, 52290, 53054, 41043, 37486
`m_65`	Male, age 65-69 (2020, modeled)	integer	0%	99	158028, 46847, 39535, 32833, 31994
`m_70`	Male, age 70-74 (2020, modeled)	integer	0%	100	89897, 23321, 19971, 15798, 18083
`m_75`	Male, age 75-79 (2020, modeled)	integer	0%	98	47562, 12663, 11747, 8312, 8971
`m_80`	Male, age 80+ (2020, modeled)	integer	0%	100	42453, 14120, 13330, 6678, 9548
`f_00`	Female, age under 1 (2020, modeled)	integer	0%	98	37410, 24798, 13887, 12123, 10029
`f_01`	Female, age 1-4 (2020, modeled)	integer	0%	100	177290, 108669, 60253, 54500, 50846
`f_05`	Female, age 5-9 (2020, modeled)	integer	0%	100	244548, 144832, 84776, 75508, 69540
`f_10`	Female, age 10-14 (2020, modeled)	integer	0%	99	260615, 136623, 87557, 71348, 60031
`f_15`	Female, age 15-19 (2020, modeled)	integer	0%	99	200131, 112558, 69884, 60986, 53593
`f_20`	Female, age 20-24 (2020, modeled)	integer	0%	100	242271, 120662, 79048, 69440, 56560
`f_25`	Female, age 25-29 (2020, modeled)	integer	0%	100	380360, 155121, 114837, 99981, 79457
`f_30`	Female, age 30-34 (2020, modeled)	integer	0%	100	500470, 194026, 142813, 133418, 110433
`f_35`	Female, age 35-39 (2020, modeled)	integer	0%	100	465919, 177160, 143067, 122505, 104467
+10 more pending fields — download the CSV/Parquet to see them all.

IRN LandScan Global (ORNL) IRN-LANDSCAN Modeled Population

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

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

0 Admin 0 — 1 table(s)

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

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	IRN
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Islamic Republic of Iran
`admin_code`	Admin code	string	SEL	0%	1	36920063B62160551355287
`area_sqkm`	Area sqkm	float	SEL	0%	1	1622506.2974
`pop_2024`	Population count	integer	SEL	0%	1	87751128
`pop_density_2024`	Population density	float	SEL	0%	1	54.08

1 Admin 1 — 1 table(s)

IRN LandScan - Population Admin1 (admin_1) — 32 rows, 7 columns

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	IRN, IRN, IRN, IRN, IRN
`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%	31	Tehran, Razavi Khorasan, Isfahan, Fars, Khuzestan
`admin_code`	Admin code	string	SEL	0%	32	17685810B50760377364469, 17685810B98247647047819,...
`area_sqkm`	Area sqkm	float	SEL	0%	32	13615.3273, 117860.0686, 107170.0922, 122547.386, 63323.3846
`pop_2024`	Population count	integer	SEL	0%	32	14758866, 7244123, 5618009, 5316584, 5248639
`pop_density_2024`	Population density	float	SEL	0%	32	1083.99, 61.46, 52.42, 43.38, 82.89

Locality Locality — 1 table(s)

IRN LandScan - Cities (locality) — 169 rows, 9 columns

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	IRN, IRN, IRN, IRN, IRN
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	100	Tehran, Mashhad, Karaj, Isfahan, Tabriz
`admin_code`	Admin code	integer	SEL	0%	100	5174, 6897, 4992, 5720, 1432
`area_sqkm`	Area sqkm	float	SEL	0%	100	823.2225, 473.05, 298.3614, 327.0802, 163.7347
`pop_2024`	Population count	integer	SEL	0%	100	11142683, 3388389, 2684096, 2321699, 1685463
`pop_density_2024`	Population density	float	SEL	0%	100	13535.45, 7162.86, 8996.12, 7098.26, 10293.87

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

Field Name	Label	Type	Nulls	Unique	Samples
`ghs_pop_2025`	ghs_pop_2025	integer	0%	100	9363124, 5377005, 3585417, 1817590, 1318694
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	96	1.19, 0.63, 0.749, 1.277, 1.278

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

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

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Locality Locality — 1 table(s)

IRN GHS-UCDB - Cities (locality) — 169 rows, 10 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`city_name`	Admin name	string	SEL	0%	100	Tehran, Mashhad, Karaj, Ahwaz, Isfahan
`country_code`	Country code	string	SEL	0%	1	IRN, IRN, IRN, IRN, IRN
`population`	Population count	integer	SEL	0%	100	9363124, 5377005, 3585417, 1907837, 1817590

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	100	5174, 6897, 4992, 4538, 5720
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Iran, Iran, Iran, Iran, Iran
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

IRN GHS Urban Centre Database — Profile (EU JRC) IRN-GHSL_UCDB_PROFILE Modeled Population

169 rows · 1 table(s) GHS Urban Centre Database — Profile (EU JRC) 0 1 2 3 Locality 6 SEL ▶

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Locality Locality — 1 table(s)

IRN Ghsl Ucdb Profile - Urban Profile (locality) — 169 rows, 15 columns

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

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`urban_centre_id`	GHS-UCDB urban-centre ID	integer	SEL	0%	100	5174, 6897, 4992, 4538, 5720
`urban_centre_name`	Urban centre name	string	SEL	0%	100	Tehran, Mashhad, Karaj, Ahwaz, Isfahan
`country_code`	ISO 3166-1 alpha-3 country code	string	SEL	0%	1	IRN, IRN, IRN, IRN, IRN
`population_2025`	Resident population (2025, modeled)	float	SEL	0%	100	9363123.7, 5377005.3, 3585417.4, 1907837.5, 1817590.2
`area_sqkm`	Urban centre area (sq km)	float	SEL	0%	57	825.0, 474.0, 299.0, 245.0, 328.0
`population_density_2025`	Population density (persons per sq km, 2025)	float	SEL	0%	100	11349.2, 11343.9, 11991.4, 7787.1, 5541.4

Pending (9) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`name_local`	Urban centre name (native script)	string	98%	2	جیرفت, ساحلی
`country_name`	Country name	string	0%	1	Iran (Islamic Republic of), Iran (Islamic Republic of),...
`built_up_total_sqm_2025`	Built-up surface, total (sq m, 2025)	integer	0%	100	238873636, 86340911, 67819609, 48938539, 82258306
`built_up_residential_sqm_2025`	Built-up surface, residential (sq m, 2025)	integer	0%	100	212825388, 81056755, 64585988, 44999065, 80418416
`income_group`	World Bank income group	string	0%	1	Lower Middle, Lower Middle, Lower Middle, Lower Middle,...
`un_subregion`	UN geographic sub-region	string	0%	1	Central and Southern Asia, Central and Southern Asia,...
`first_built_year`	Year first built-up area detected	integer	0%	7	1975, 1975, 1975, 1975, 1975
`is_capital`	National capital (1 = capital city)	integer	0%	2	1, 0, 0, 0, 0
`admin_level`	Spatial entity level	string	0%	1	locality, locality, locality, locality, locality

IRN UNHCR Refugee Data Finder IRN-UNHCR Migration

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

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0 Admin 0 — 2 table(s)

IRN UNHCR - Hosted Populations — 75 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

IRN UNHCR - Origin Populations — 75 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

IRN World Bank Open Data IRN-WORLD_BANK Development Indicators

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

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0 Admin 0 — 2 table(s)

IRN World Bank - Development Indicators — 66 rows, 9 columns

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	IR, IR, IR, IR, IR
`population_count`	Population count	float	SEL	2%	65	21470434.0, 22125726.0, 22807907.0, 23519005.0, 24262859.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	43.297, 43.9, 43.769, 45.105, 45.735
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	195.57752721271, 200.081529294917, 205.786809656996,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	65%	23	36.5200004577637, 52.3199996948242, 65.5299987792969,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	20%	53	188.9, 179.7, 170.9, 162.2, 153.4
`poverty_headcount_pct`	Poverty headcount percent	string	SEL	100%	-	-

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	Iran, Islamic Rep., Iran, Islamic Rep., Iran, Islamic...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

IRN 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	IR, IR, IR, IR, IR
`life_expectancy`	Life expectancy	float	SEL	3%	64	43.297, 43.9, 43.769, 45.105, 45.735
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	47%	35	25.8, 25.0, 24.2, 23.6, 23.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	20%	53	188.9, 179.7, 170.9, 162.2, 153.4
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	37	160.0, 148.0, 136.0, 126.0, 113.0
`fertility_rate`	Fertility rate	float	SEL	3%	63	7.519, 7.459, 7.401, 7.317, 7.237
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	50.991, 49.823, 48.767, 47.657, 46.69
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	62	23.788, 22.946, 22.656, 21.29, 20.494
`physicians_per_1000`	Physicians per 1000	float	SEL	73%	17	0.244, 0.257, 0.306, 0.338, 0.347
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	59%	25	0.92567503452301, 1.37960004806519, 1.4805999994278,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	14	32.0, 29.0, 41.0, 33.0, 33.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	4.72250843, 5.16087341, 4.65182209, 4.95589161, 5.12801409

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	Iran, Islamic Rep., Iran, Islamic Rep., Iran, Islamic...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

IRN Glottolog Language Catalog IRN-GLOTTOLOG Language

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

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0 Admin 0 — 1 table(s)

IRN Glottolog - Languages — 96 rows, 16 columns

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

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	96	aima1241, alvi1241, asht1244, assy1241, aves1237
`name`	Name	string	CCL	0%	96	Aimaq, Alviri-Vidari, Ashtiani, Assyrian Neo-Aramaic, Avestan
`iso639_3`	Iso639 3	string	CCL	12%	85	aiq, avd, atn, aii, ave
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	1%	9	indo1319, indo1319, indo1319, afro1255, indo1319
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	1%	56	east2745, sout3177, vafs1241, nort3241, iran1269
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	27	['AF', 'IR'], ['IR'], ['IR'], ['IQ', 'IR', 'SY', 'TR'], ['IR']
`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%	22	10, 2, 4, 31, 0

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	5%	91	35.283, 35.0075, 34.60417, 36.75, 34.217
`longitude`	longitude	float	5%	89	59.1756, 50.3794, 49.99911, 43.0, 62.112
`classification`	classification	string	0%	1	[], [], [], [], []

IRN OpenFactBook IRN-OPENFACTBOOK Country Profile

16 rows · 16 table(s) OpenFactBook 0 1 2 3 98 SEL 1 CCL 597 ext ▶

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0 Admin 0 — 16 table(s)

IRN OpenFactBook - Communications — 1 rows, 22 columns

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

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	32.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	174.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.ir
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	80.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	12.0
`country_code`	Country code	string	SEL	0%	1	IRN
`country_name`	Country name	string	SEL	0%	1	Iran
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (14) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1	29.02 million (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	29.02
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	32 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	159 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	159.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	174 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	state-run broadcast media with no private, independent...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	60.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	80% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	10.9 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	10.9
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	12 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	middle-east/ir.json

IRN OpenFactBook - Economy — 1 rows, 139 columns

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Field details — 139 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	16200.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	436.906
`country_code`	Country code	string	SEL	0%	1	IRN
`country_name`	Country name	string	SEL	0%	1	Iran
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (134) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	traditionally state-controlled economy but reforming...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$1.486 trillion (2024 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric`	Real gdp purchasing power parity 2024 (numeric)	float	0%	1	1.486
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$1.442 trillion (2023 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric`	Real gdp purchasing power parity 2023 (numeric)	float	0%	1	1.442
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$1.373 trillion (2022 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric`	Real gdp purchasing power parity 2022 (numeric)	float	0%	1	1.373
`real_gdp_purchasing_power_parity_note`	real_gdp_purchasing_power_parity_note	string	0%	1	note: data in 2021 dollars
`real_gdp_growth_rate_real_gdp_growth_rate_2024_text`	Real gdp growth rate 2024 (text)	string	0%	1	3% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	3.0
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	5% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	5.0
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	3.8% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	3.8
`real_gdp_growth_rate_note`	real_gdp_growth_rate_note	string	0%	1	note: annual GDP % growth based on constant local currency
`real_gdp_per_capita_real_gdp_per_capita_2024_text`	Real gdp per capita 2024 (text)	string	0%	1	$16,200 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$15,900 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	15900.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$15,300 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	15300.0
`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	$436.906 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	32.5% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	32.5
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	44.6% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	44.6
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	43.5% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	43.5
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
`gdp_composition_by_sector_of_origin_agriculture_text`	gdp_composition_by_sector_of_origin_agriculture_text	string	0%	1	13% (2024 est.)
+104 more extension fields — download the CSV/Parquet to see them all.

IRN OpenFactBook - Energy — 1 rows, 63 columns

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Field details — 63 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

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

Extension Fields (59) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`electricity_access_electrification_total_population_text`	electricity_access_electrification_total_population_text	string	0%	1	100% (2022 est.)
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	86.058 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	86.058
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	335.175 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	335.175
`electricity_exports_text`	electricity_exports_text	string	0%	1	5.723 billion kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	5.723
`electricity_imports_text`	electricity_imports_text	string	0%	1	3.136 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	3.136
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	37.948 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	37.948
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	94.6% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	94.6
`electricity_generation_sources_nuclear_text`	electricity_generation_sources_nuclear_text	string	0%	1	1.6% of total installed capacity (2023 est.)
`electricity_generation_sources_nuclear_numeric`	electricity_generation_sources_nuclear_numeric	float	0%	1	1.6
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	0.2% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	0.2
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	0.2% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	0.2
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	3.4% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	3.4
`nuclear_energy_number_of_operational_nuclear_reactors_text`	nuclear_energy_number_of_operational_nuclear_reactors_text	string	0%	1	1 (2025)
`nuclear_energy_number_of_operational_nuclear_reactors_numeric`	nuclear_energy_number_of_operational_nuclear_reactors_numeric	float	0%	1	1.0
`nuclear_energy_number_of_nuclear_reactors_under_construction_text`	nuclear_energy_number_of_nuclear_reactors_under_construction_text	string	0%	1	1 (2025)
`nuclear_energy_number_of_nuclear_reactors_under_construction_numeric`	nuclear_energy_number_of_nuclear_reactors_under_construction_numeric	float	0%	1	1.0
`nuclear_energy_net_capacity_of_operational_nuclear_reactors_text`	nuclear_energy_net_capacity_of_operational_nuclear_reactors_text	string	0%	1	0.92GW (2025 est.)
`nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric`	nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric	float	0%	1	0.92
`nuclear_energy_percent_of_total_electricity_production_text`	nuclear_energy_percent_of_total_electricity_production_text	string	0%	1	1.7% (2023 est.)
`nuclear_energy_percent_of_total_electricity_production_numeric`	nuclear_energy_percent_of_total_electricity_production_numeric	float	0%	1	1.7
`coal_production_text`	coal_production_text	string	0%	1	2.209 million metric tons (2023 est.)
+29 more extension fields — download the CSV/Parquet to see them all.

IRN OpenFactBook - Environment — 1 rows, 59 columns

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Field details — 59 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	29.0
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	6.6
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	77.3
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.32
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	17.885
`country_code`	Country code	string	SEL	0%	1	IRN
`country_name`	Country name	string	SEL	0%	1	Iran
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (51) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	air pollution, especially in urban areas, from vehicle...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Biodiversity, Climate Change, Climate Change-Kyoto...
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	Climate Change-Paris Agreement, Comprehensive Nuclear...
`climate_text`	climate_text	string	0%	1	mostly arid or semiarid, subtropical along Caspian coast
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	29% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 9.7% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	9.7
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 1.2% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	1.2
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 18.2% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	18.2
`land_use_forest_text`	land_use_forest_text	string	0%	1	6.6% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	64.4% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	64.4
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	77.3% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.32% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	823.364 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	823.364
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	7.136 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	7.136
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	316.922 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	316.922
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	499.306 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_consumed_natural_gas_numeric`	carbon_dioxide_emissions_from_consumed_natural_gas_numeric	float	0%	1	499.306
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	36.4 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	36.4
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	6,208.1 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	6208.1
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	819.7 kt (2019-2021 est.)
`methane_emissions_agriculture_numeric`	methane_emissions_agriculture_numeric	float	0%	1	819.7
+21 more extension fields — download the CSV/Parquet to see them all.

IRN 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	IRN
`country_name`	Country name	string	SEL	0%	1	Iran
`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	Iranian(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Iranian
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Persian, Azeri, Kurd, Lur, Baloch, Arab, Turkmen, and...
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	middle-east/ir.json

IRN OpenFactBook - Geography — 1 rows, 61 columns

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Field details — 61 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`area_total_numeric`	Area sqkm	float	SEL	0%	1	1648195.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	1531595.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	116600.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	5894.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	2440.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	5625.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	-28.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	29.0
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	6.6
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	79721.0
`country_code`	Country code	string	SEL	0%	1	IRN
`country_name`	Country name	string	SEL	0%	1	Iran
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Middle East, bordering the Gulf of Oman, the Persian...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	32 00 N, 53 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	32.0
`map_references_text`	map_references_text	string	0%	1	Middle East
`area_total_text`	area_total_text	string	0%	1	1,648,195 sq km
`area_land_text`	area_land_text	string	0%	1	1,531,595 sq km
`area_water_text`	area_water_text	string	0%	1	116,600 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	almost 2.5 times the size of Texas; slightly smaller than Alaska
`area_comparative_numeric`	area_comparative_numeric	float	0%	1	2.5
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	5,894 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Afghanistan 921 km; Armenia 44 km; Azerbaijan 689 km;...
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	921.0
`coastline_text`	coastline_text	string	0%	1	2,440 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	bilateral agreements or median lines in the Persian Gulf
`maritime_claims_continental_shelf_text`	maritime_claims_continental_shelf_text	string	0%	1	natural prolongation
`climate_text`	climate_text	string	0%	1	mostly arid or semiarid, subtropical along Caspian coast
`terrain_text`	terrain_text	string	0%	1	rugged, mountainous rim; high, central basin with...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Kuh-e Damavand 5,625 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Caspian Sea -28 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	1,305 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	1305.0
`natural_resources_text`	natural_resources_text	string	0%	1	petroleum, natural gas, coal, chromium, copper, iron...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	29% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 9.7% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	9.7
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 1.2% (2023 est.)
+18 more extension fields — download the CSV/Parquet to see them all.

IRN OpenFactBook - Government — 1 rows, 88 columns

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Field details — 88 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	IRN
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (86) — 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	Islamic Republic of Iran
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Iran
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Jomhuri-ye Eslami-ye Iran
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Iran
`country_name_former_text`	country_name_former_text	string	0%	1	Persia
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the name derives from the Sanskrit word arya, referring...
`government_type_text`	government_type_text	string	0%	1	theocratic republic
`capital_name_text`	capital_name_text	string	0%	1	Tehran
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	35 42 N, 51 25 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	35.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+3.5 (8.5 hours ahead of Washington, DC)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	3.5
`capital_daylight_saving_time_text`	capital_daylight_saving_time_text	string	0%	1	does not observe daylight savings time
`capital_etymology_text`	capital_etymology_text	string	0%	1	the name probably means "flat" or "lower," referring to...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	31 provinces (ostanha, singular - ostan); Alborz,...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	31.0
`legal_system_text`	legal_system_text	string	0%	1	religious system based on secular and Islamic law
`constitution_history_text`	constitution_history_text	string	0%	1	previous 1906; latest adopted 24 October 1979, effective...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	1906.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the supreme leader – after consultation with...
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	has not submitted an ICJ jurisdiction declaration;...
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	0%	1	no
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	the father must be a citizen of Iran
`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	5 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	5.0
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
`executive_branch_chief_of_state_text`	executive_branch_chief_of_state_text	string	0%	1	Supreme Leader Ali Hoseini-KHAMENEI (since 4 June 1989)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	4.0
+56 more extension fields — download the CSV/Parquet to see them all.

IRN OpenFactBook - Introduction — 1 rows, 7 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	IRN
`country_name`	Country name	string	SEL	0%	1	Iran
`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	Known as Persia until 1935, Iran became an Islamic...
`background_numeric`	background_numeric	float	0%	1	1935.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	middle-east/ir.json

IRN OpenFactBook - Languages — 1 rows, 7 columns

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

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`languages_languages_text`	Languages (text)	string	0%	1	Persian Farsi (official), Azeri and other Turkic...
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	چکیده نامه جهان، منبعی ضروری برای کسب اطلاعات کلی جهان...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	middle-east/ir.json

IRN OpenFactBook - Migration — 1 rows, 11 columns

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

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	3,489,257 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	3489257.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	421 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	421.0
`trafficking_in_persons_tier_rating_text`	trafficking_in_persons_tier_rating_text	string	0%	1	Tier 3 — Iran does not fully meet the minimum standards...
`trafficking_in_persons_tier_rating_numeric`	trafficking_in_persons_tier_rating_numeric	float	0%	1	3.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	middle-east/ir.json

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

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Field details — 27 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

Extension Fields (24) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`military_and_security_forces_text`	military_and_security_forces_text	string	0%	1	the military forces of Iran are divided between 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	2% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	2.0
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	2.3% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	2.3
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	2.5% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	2.5
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	2.3% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	2.3
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	2.1% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	2.1
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	information varies; up to 600,000 total active armed...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	600000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the Iranian military's inventory includes a mix of...
`military_equipment_inventories_and_acquisitions_numeric`	military_equipment_inventories_and_acquisitions_numeric	float	0%	1	1979.0
`military_service_age_and_obligation_text`	military_service_age_and_obligation_text	string	0%	1	16 for voluntary military service for men; military...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	16.0
`military_deployments_text`	military_deployments_text	string	0%	1	note: Iran maintained a military presence in Syria and...
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	2011.0
`military_note_text`	military_note_text	string	0%	1	the Islamic Revolutionary Guard Corps (IRGC) was formed...
`military_note_numeric`	military_note_numeric	float	0%	1	1979.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	middle-east/ir.json

IRN OpenFactBook - People And Society — 1 rows, 144 columns

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

Standards-Aligned Fields (29)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	89177357.0
`population_male_numeric`	Population male	float	SEL	0%	1	45098223.0
`population_female_numeric`	Population female	float	SEL	0%	1	44079134.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	23.3
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	69.8
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	7.0
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	42.8
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	30.4
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	12.4
`median_age_total_numeric`	Median age	float	SEL	0%	1	35.2
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	-0.87
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	11.24
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	4.42
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-15.52
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	77.3
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.32
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.05
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	1.03
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	16.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	9.7
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	75.6
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.53
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.74
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	1.81
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	1.9
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	86.0
`country_code`	Country code	string	SEL	0%	1	IRN
`country_name`	Country name	string	SEL	0%	1	Iran
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	89,177,357 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	45,098,223
`population_female_text`	population_female_text	string	0%	1	44,079,134
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	23.3% (male 10,512,797/female 10,040,282)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	69.8% (male 31,413,125/female 30,267,241)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	7% (2024 est.) (male 2,869,617/female 3,283,875)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	42.8 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	30.4 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	12.4 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	8.1 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	8.1
`median_age_total_text`	median_age_total_text	string	0%	1	35.2 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	33.6 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	33.6
`median_age_female_text`	median_age_female_text	string	0%	1	34.1 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	34.1
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	-0.87% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	11.24 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	4.42 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-15.52 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	population is concentrated in the north, northwest, and...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	77.3% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.32% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	9.500 million TEHRAN (capital), 3.368 million Mashhad,...
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	9.5
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.05
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	1.04 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	1.04
+85 more extension fields — download the CSV/Parquet to see them all.

IRN OpenFactBook - Religions — 1 rows, 20 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	IRN
`country_name`	Country name	string	SEL	0%	1	Iran
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_christian_pct_synth`	Christian	numeric	CCL	0%	-	0.7

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

Field Name	Label	Type	Nulls	Unique	Samples
`religions_text`	religions_text	string	0%	1	Muslim (official) 98.5%, Christian 0.7%, Baha'i 0.3%,...
`religions_numeric`	religions_numeric	float	0%	1	98.5
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	middle-east/ir.json

Pending (12) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_muslim_official_pct_synth`	Muslim (official)	numeric	0%	-	98.5
`composition_religion_baha_i_pct_synth`	Baha'i	numeric	0%	-	0.3
`composition_religion_agnostic_pct_synth`	agnostic	numeric	0%	-	0.3
`composition_religion_other_includes_zoroastrian_jewish_hindu_pct_synth`	other (includes Zoroastrian, Jewish, Hindu)	numeric	0%	-	0.2
`composition_ethnicity_persian_pct_synth`	Persian	numeric	0%	-	-
`composition_ethnicity_azeri_pct_synth`	Azeri	numeric	0%	-	-
`composition_ethnicity_kurd_pct_synth`	Kurd	numeric	0%	-	-
`composition_ethnicity_lur_pct_synth`	Lur	numeric	0%	-	-
`composition_ethnicity_baloch_pct_synth`	Baloch	numeric	0%	-	-
`composition_ethnicity_arab_pct_synth`	Arab	numeric	0%	-	-
`composition_ethnicity_turkmen_pct_synth`	Turkmen	numeric	0%	-	-
`composition_ethnicity_turkic_tribes_pct_synth`	Turkic tribes	numeric	0%	-	-

IRN OpenFactBook - Space — 1 rows, 13 columns

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Field details — 13 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	IRN
`country_name`	Country name	string	SEL	0%	1	Iran
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (10) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`space_agency_agencies_text`	space_agency_agencies_text	string	0%	1	Iranian Space Agency (ISA; created in 2003); Iran Space...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	2003.0
`space_launch_site_s_text`	space_launch_site_s_text	string	0%	1	Imam Khomeini Space Center (aka Semnan Space Center;...
`space_launch_site_s_numeric`	space_launch_site_s_numeric	float	0%	1	2025.0
`space_program_overview_text`	space_program_overview_text	string	0%	1	has an ambitious civil and military space program...
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1	1958.0
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1	1998 - began development of 2-stage satellite/space...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	1998.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	middle-east/ir.json

IRN OpenFactBook - Terrorism — 1 rows, 6 columns

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

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`terrorist_group_s_text`	terrorist_group_s_text	string	0%	1	Islamic Revolutionary Guard Corps (IRGC)/Qods Force;...
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	middle-east/ir.json

IRN OpenFactBook - Transportation — 1 rows, 33 columns

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Field details — 33 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	SEL+	0%	1	EP
`airports_numeric`	Airports count	float	SEL	0%	1	177.0
`country_code`	Country code	string	SEL	0%	1	IRN
`country_name`	Country name	string	SEL	0%	1	Iran
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (28) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`airports_text`	airports_text	string	0%	1	177 (2025)
`heliports_text`	heliports_text	string	0%	1	90 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	90.0
`railways_total_text`	railways_total_text	string	0%	1	8,483.5 km (2014)
`railways_total_numeric`	railways_total_numeric	float	0%	1	8483.5
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	8,389.5 km (2014) 1.435-m gauge (189.5 km electrified)
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	8389.5
`railways_broad_gauge_text`	railways_broad_gauge_text	string	0%	1	94 km (2014) 1.676-m gauge
`railways_broad_gauge_numeric`	railways_broad_gauge_numeric	float	0%	1	94.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	965 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	965.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 32, container ship 28, general cargo 398,...
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	32.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	18 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	18.0
`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	4
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	4.0
`ports_small_text`	ports_small_text	float	0%	1	6
`ports_small_numeric`	ports_small_numeric	float	0%	1	6.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	8
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	8.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	13
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	13.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Abadan, Bandar Abbas, Bushehr, Khorramshahr
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	middle-east/ir.json

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

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

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

0 Admin 0 — 2 table(s)

IRN Nga Gns - Language — 11 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	IRN, IRN, IRN, IRN, IRN
`gns_language_code`	gns_language_code	string	CCL	0%	11	fas, eng, rus, ara, kur
`gns_language_name`	gns_language_name	string	CCL	0%	11	Persian, English, Russian, Arabic, Kurdish
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	11	661510, 424, 250, 235, 103
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	11	99.8287, 0.064, 0.0377, 0.0355, 0.0155
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	8	310445, 0, 79, 111, 51
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	4	Arab, , Cyrl, Arab, Arab
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	4	Arabic, , Cyrillic, Arabic, Arabic
`gns_script_count`	gns_script_count	integer	CCL	0%	3	3, 0, 1, 1, 1

IRN 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	IRN
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Iran
`gns_language_count`	gns_language_count	integer	CCL	0%	1	11
`gns_script_count`	gns_script_count	integer	CCL	0%	1	4
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9969
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	311458

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	704238
`gns_feature_count`	gns_feature_count	integer	0%	1	249638
`gns_endonym_count`	gns_endonym_count	integer	0%	1	704216
`gns_exonym_count`	gns_exonym_count	integer	0%	1	22
`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_spot_features`	gns_name_count_spot_features	integer	0%	1	136009
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	50658
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	279074
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	79524
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	180653
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	74128
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	72179
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	29938
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	19871
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	8898
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	9551
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	3943
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	4380
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	1955
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	2521
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	594

IRN D-PLACE IRN-DPLACE Ethnographic Societies

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

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0 Admin 0 — 1 table(s)

IRN D-PLACE - Dplace Ea Societies — 3 rows, 18 columns

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

Standards-Aligned Fields (11)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	IRN, IRN, IRN
`society_id`	Society id	string	CCL	0%	3	Ea12, Ea8, Ea9
`society_name`	Society name	string	CCL	0%	3	Qashqui, Bakhtiari, Iranians
`language_glottocode`	Language glottocode	string	CCL	0%	3	qash1240, bakh1245, tehr1242
`language_name`	Language name	string	CCL	0%	1	, ,
`kinship_system`	Kinship system	string	CCL	0%	2	EA001:0; EA002:1; EA003:0; EA004:8; EA005:1, EA001:0;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	3	EA006:1; EA007:7; EA008:1; EA009:1; EA010:8, EA006:1;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	3	EA028:2; EA029:3; EA030:1; EA031:5; EA032:3, EA028:6;...
`political_complexity`	Political complexity	string	CCL	0%	2	EA033:3; EA034:4; EA035:NA, EA033:3; EA034:4; EA035:NA,...
`religion_importance`	Religion importance	string	CCL	0%	2	EA034:4; EA112:NA, EA034:4; EA112:NA, EA034:4; EA112:4
`residence_pattern`	Residence pattern	string	CCL	0%	3	EA011:1; EA012:8; EA013:2, EA011:1; EA012:8; EA013:9,...

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Iran, Iran, Iran
`dataset`	dataset	string	0%	1	EA, EA, EA
`region`	region	string	0%	1	, ,
`latitude`	latitude	float	0%	3	30.0, 33.0, 36.0
`longitude`	longitude	float	0%	2	52.0, 48.0, 52.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon, point_in_polygon
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate, approximate

IRN Global Organized Crime Index IRN-OCINDEX Crime Index

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

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

0 Admin 0 — 1 table(s)

IRN Organized Crime Scores 2025 — 1 rows, 35 columns

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

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

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

IRN World Values Survey IRN-WVS Attitudes Values

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

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

0 Admin 0 — 1 table(s)

IRN WVS - Country Aggregates — 1 rows, 26 columns

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Field details — 26 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	IRN

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

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

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
Global Data Lab	academic	api
World Values Survey	academic	metadata_catalog
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
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
NGA GEOnet Names Server (GNS)	official_government	bulk_download
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
GHS Urban Centre Database — Profile (EU JRC)	international_organization	bulk_download
WorldPop Global High Resolution Population Denominators — Age & Sex (constrained 2020)	research_institution	bulk_download
OpenFactBook	community_compilation	bulk_download