Iran

IRN Global Data Lab IRN-GDL Development Indices

1,054 rows · 1 table(s) · 2023 Global Data Lab 0 1 2 3 9 SEL 2 ext ▶

ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.

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) · 2016 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) · 2020 WorldPop Global High Resolution Population Denominators — Age & Sex (constrained 2020) 0 1 2 3 16 SEL ▶

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 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 NGA GEOnet Names Server (GNS) IRN-NGA_GNS Language

446 rows · 3 table(s) · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 5 SEL 12 CCL 33 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)

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 Nga Gns - Admin Crosswalk — 434 rows, 12 columns

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Field details — 12 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, IRN, IRN, IRN, IRN

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

Field Name	Label	Type	Nulls	Unique	Samples
`gns_ufi`	gns_ufi	integer	0%	100	11039732, 408713, -3057165, -3057331, 9082199
`admin_designation`	admin_designation	string	0%	2	ADM1, ADM1, ADM1, ADM1, ADM1
`gns_bgn_name`	gns_bgn_name	string	0%	97	Alborz, Ardabīl, Būshehr, Chahār Maḩāl va Bakhtīārī, Golestān
`gns_local_name`	gns_local_name	string	0%	100	استان البرز, استان اردبيل, بوشهر, استان چهار محال و...
`iso_3166_2`	iso_3166_2	string	0%	31	IR-30, IR-24, IR-18, IR-14, IR-27
`parent_code`	parent_code	string	0%	31	IR-30, IR-24, IR-18, IR-14, IR-27
`gns_prominence_band`	gns_prominence_band	integer	0%	4	8, 8, 8, 8, 8
`latitude`	latitude	float	0%	100	36.011171, 38.5, 28.75, 32.166667, 37.25
`longitude`	longitude	float	0%	97	50.809563, 48.0, 51.5, 50.75, 55.0
`gns_mgrs`	gns_mgrs	string	0%	100	39SVV8283985204, 39STC3837965559, 39RWM4881780391,...
`name_variant_count`	name_variant_count	integer	0%	11	4, 4, 6, 11, 4

IRN LandScan Global (ORNL) IRN-LANDSCAN Modeled Population

202 rows · 3 table(s) · 2024 LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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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) · 2025 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) · 2025 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 World Bank Open Data IRN-WORLD_BANK Development Indicators

132 rows · 2 table(s) · 2024 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 UNHCR Refugee Data Finder IRN-UNHCR Migration

97 rows · 2 table(s) · 2025 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 — 51 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 — 46 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 Glottolog Language Catalog IRN-GLOTTOLOG Language

96 rows · 1 table(s) · 2024 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) · 2024 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, 21 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, 134 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, 54 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, 56 columns

Loading data…

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

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`area_total_numeric`	Area sqkm	float	SEL	0%	1	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, 70 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, 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	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, 10 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, 21 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, 131 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, 6 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, 9 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, 30 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 D-PLACE IRN-DPLACE Ethnographic Societies

3 rows · 1 table(s) · 2024 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) · 2025 GI-TOC / ENACT 0 1 2 3 13 CCL 22 ext ▶

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0 Admin 0 — 1 table(s)

IRN Organized Crime Scores 2025 — 1 rows, 35 columns

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Field details — 139 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`oc_anti_money_laundering`	oc_anti_money_laundering	numeric	CCL	0%	1	-
`oc_arms_trafficking`	oc_arms_trafficking	numeric	CCL	0%	1	-
`oc_criminal_actors`	oc_criminal_actors	numeric	CCL	0%	1	-
`oc_criminal_markets`	oc_criminal_markets	numeric	CCL	0%	1	-
`oc_criminality`	oc_criminality	numeric	CCL	0%	1	-
`oc_cyber_dependent_crimes`	oc_cyber_dependent_crimes	numeric	CCL	0%	1	-
`oc_financial_crimes`	oc_financial_crimes	numeric	CCL	0%	1	-
`oc_human_smuggling`	oc_human_smuggling	numeric	CCL	0%	1	-
`oc_human_trafficking`	oc_human_trafficking	numeric	CCL	0%	1	-
`oc_judicial_system_and_detention`	oc_judicial_system_and_detention	numeric	CCL	0%	1	-
`oc_law_enforcement`	oc_law_enforcement	numeric	CCL	0%	1	-
`oc_political_leadership_and_governance`	oc_political_leadership_and_governance	numeric	CCL	0%	1	-
`oc_resilience`	oc_resilience	numeric	CCL	0%	1	-

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

Field Name	Label	Type	Nulls	Unique	Samples
`oc_cannabis_trade`	oc_cannabis_trade	numeric	0%	1	-
`oc_cocaine_trade`	oc_cocaine_trade	numeric	0%	1	-
`oc_criminal_networks`	oc_criminal_networks	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_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_illicit_trade_in_excisable_goods`	oc_illicit_trade_in_excisable_goods	numeric	0%	1	-
`oc_international_cooperation`	oc_international_cooperation	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_prevention`	oc_prevention	numeric	0%	1	-
`oc_private_sector_actors`	oc_private_sector_actors	numeric	0%	1	-
`oc_state_embedded_actors`	oc_state_embedded_actors	numeric	0%	1	-
`oc_synthetic_drug_trade`	oc_synthetic_drug_trade	numeric	0%	1	-
`oc_territorial_integrity`	oc_territorial_integrity	numeric	0%	1	-
`oc_trade_in_counterfeit_goods`	oc_trade_in_counterfeit_goods	numeric	0%	1	-

Pending (104) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`iso3`	iso3	string	0%	1	IRN
`source`	source	string	0%	1	Global Organized Crime Index
`source_url`	source_url	string	0%	1	https://ocindex.net/
`year`	year	integer	0%	1	2025
`license`	license	string	0%	1	Creative Commons (GI-TOC / ENACT)
`oc_anti_money_laundering_rank`	oc_anti_money_laundering_rank	integer	0%	1	170
`oc_anti_money_laundering_2023`	oc_anti_money_laundering_2023	float	0%	1	2.5
`oc_anti_money_laundering_2021`	oc_anti_money_laundering_2021	float	0%	1	2.5
`oc_arms_trafficking_rank`	oc_arms_trafficking_rank	integer	0%	1	6
`oc_arms_trafficking_2023`	oc_arms_trafficking_2023	integer	0%	1	9
`oc_arms_trafficking_2021`	oc_arms_trafficking_2021	integer	0%	1	8
`oc_cannabis_trade_rank`	oc_cannabis_trade_rank	integer	0%	1	51
`oc_cannabis_trade_2023`	oc_cannabis_trade_2023	integer	0%	1	6
`oc_cannabis_trade_2021`	oc_cannabis_trade_2021	integer	0%	1	6
`oc_cocaine_trade_rank`	oc_cocaine_trade_rank	integer	0%	1	101
`oc_cocaine_trade_2023`	oc_cocaine_trade_2023	float	0%	1	5.5
`oc_cocaine_trade_2021`	oc_cocaine_trade_2021	float	0%	1	5.5
`oc_criminal_actors_rank`	oc_criminal_actors_rank	integer	0%	1	43
`oc_criminal_actors_2023`	oc_criminal_actors_2023	float	0%	1	6.7
`oc_criminal_actors_2021`	oc_criminal_actors_2021	float	0%	1	7.25
`oc_criminal_markets_rank`	oc_criminal_markets_rank	integer	0%	1	4
`oc_criminal_markets_2023`	oc_criminal_markets_2023	float	0%	1	7.37
`oc_criminal_markets_2021`	oc_criminal_markets_2021	float	0%	1	6.95
`oc_criminal_networks_rank`	oc_criminal_networks_rank	integer	0%	1	21
`oc_criminal_networks_2023`	oc_criminal_networks_2023	float	0%	1	7.5
`oc_criminal_networks_2021`	oc_criminal_networks_2021	float	0%	1	7.5
`oc_criminality_rank`	oc_criminality_rank	integer	0%	1	23
`oc_criminality_2023`	oc_criminality_2023	float	0%	1	7.03
`oc_criminality_2021`	oc_criminality_2021	float	0%	1	7.1
`oc_cyber_dependent_crimes_rank`	oc_cyber_dependent_crimes_rank	integer	0%	1	4
+74 more pending fields — download the CSV/Parquet to see them all.

IRN World Values Survey IRN-WVS Attitudes Values

1 rows · 1 table(s) · 2022 World Values Survey 0 1 2 3 1 SEL 25 ext ▶

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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