Datasets:

Sadeghi
/

iran_executive_agency_employees_by_gender_province_2022

Province_ID stringlengths 7 7	Province stringlengths 2 19	Female int64 10.5k 156k	Male int64 16.2k 198k	Total_Employees_by_Province int64 27.2k 354k
Prov_01	آذربایجان شرقی	43,260	55,410	98,670
Prov_02	آذربایجان غربی	35,768	45,351	81,119
Prov_03	اردبیل	16,553	26,427	42,980
Prov_04	اصفهان	51,830	59,708	111,538
Prov_05	البرز	27,562	25,163	52,725
Prov_06	ایلام	10,461	16,709	27,170
Prov_07	بوشهر	16,611	32,373	48,984
Prov_08	تهران	155,628	198,477	354,105
Prov_09	چهارمحال و بختیاری	15,111	17,973	33,084
Prov_10	خراسان جنوبی	13,997	17,980	31,977
Prov_11	خراسان رضوی	75,883	83,450	159,333
Prov_12	خراسان شمالی	14,245	17,972	32,217
Prov_13	خوزستان	65,930	93,236	159,166
Prov_14	زنجان	15,399	19,469	34,868
Prov_15	سمنان	12,621	16,225	28,846
Prov_16	سیستان و بلوچستان	31,248	41,560	72,808
Prov_17	فارس	66,122	71,983	138,105
Prov_18	قزوین	15,958	17,633	33,591
Prov_19	قم	13,304	18,729	32,033
Prov_20	کردستان	19,860	27,463	47,323
Prov_21	کرمان	41,293	38,990	80,283
Prov_22	کرمانشاه	24,326	33,671	57,997
Prov_23	کهگیلویه و بویراحمد	11,945	22,429	34,374
Prov_24	گلستان	24,800	29,307	54,107
Prov_25	گیلان	30,059	34,740	64,799
Prov_26	لرستان	23,725	30,001	53,726
Prov_27	مازندران	42,589	51,200	93,789
Prov_28	مرکزی	17,831	22,279	40,110
Prov_29	هرمزگان	26,093	32,806	58,899
Prov_30	همدان	20,967	27,455	48,422
Prov_31	یزد	17,859	21,390	39,249

Iran Executive Agency Employees Statistics by Gender and Province (2022)

Dataset_Overview

This dataset offers a comprehensive breakdown of the number of employees in Iranian executive agencies for the year 1401 (corresponding to 2022). It provides detailed statistics on the public sector workforce, categorized by province and gender. This information is vital for policymakers, researchers, and anyone interested in the geographic distribution and gender composition of government employment in Iran.

Data_Source

The raw data was collected from the Iran Administrative and Employment Organization (www.aro.gov.ir).

Data_Preparation

The data has been meticulously cleaned and prepared for this dataset by farmaanaa.ir.

What's_Included_in_the_Dataset?

The dataset is provided in a CSV format and includes the following columns:

Column_Name	Description	Data_Type	Example
`Province_ID`	Unique identifier for the Iranian province (state). Refer to the "Terminology and ID Mapping" section below.	String	`Prov_01`
`Female`	Number of female employees in the respective province.	Integer	`43260`
`Male`	Number of male employees in the respective province.	Integer	`55410`
`Total_Employees_by_Province`	Total number of employees in the respective province (Female + Male).	Integer	`98670`

Terminology_and_ID_Mapping

For a clear understanding of the data, here is a mapping of the IDs used in the dataset to their original Persian terms and English translations:

Province_IDs

ID	Persian_Term	English_Translation
`Prov_01`	`آذربایجان_شرقی`	East Azerbaijan
`Prov_02`	`آذربایجان_غربی`	West Azerbaijan
`Prov_03`	`اردبیل`	Ardabil
`Prov_04`	`اصفهان`	Isfahan
`Prov_05`	`البرز`	Alborz
`Prov_06`	`ایلام`	Ilam
`Prov_07`	`بوشهر`	Bushehr
`Prov_08`	`تهران`	Tehran
`Prov_09`	`چهارمحال_و_بختیاری`	Chaharmahal and Bakhtiari
`Prov_10`	`خراسان_جنوبی`	South Khorasan
`Prov_11`	`خراسان_رضوی`	Razavi Khorasan
`Prov_12`	`خراسان_شمالی`	North Khorasan
`Prov_13`	`خوزستان`	Khuzestan
`Prov_14`	`زنجان`	Zanjan
`Prov_15`	`سمنان`	Semnan
`Prov_16`	`سیستان_و_بلوچستان`	Sistan and Baluchestan
`Prov_17`	`فارس`	Fars
`Prov_18`	`قزوین`	Qazvin
`Prov_19`	`قم`	Qom
`Prov_20`	`کردستان`	Kurdistan
`Prov_21`	`کرمان`	Kerman
`Prov_22`	`کرمانشاه`	Kermanshah
`Prov_23`	`کهگیلویه_و_بویراحمد`	Kohgiluyeh and Boyer-Ahmad
`Prov_24`	`گلستان`	Golestan
`Prov_25`	`گیلان`	Gilan
`Prov_26`	`لرستان`	Lorestan
`Prov_27`	`مازندران`	Mazandaran
`Prov_28`	`مرکزی`	Markazi
`Prov_29`	`هرمزگان`	Hormozgan
`Prov_30`	`همدان`	Hamadan
`Prov_31`	`یزد`	Yazd

Usage_Examples

This dataset can be used for various purposes, including but not limited to:

Regional Demographics Analysis: Understanding the gender distribution of the public sector workforce across Iranian provinces.
Public Policy Evaluation: Assessing gender balance in government employment at a provincial level.
Academic Research: Studying gender-based employment patterns in the public sector and their regional variations.
Data Visualization: Creating informative maps and charts to represent gender distribution of employees across Iran's provinces.

Downloads last month: 100

Size of downloaded dataset files:

1.41 kB

Size of the auto-converted Parquet files:

4.05 kB

Number of rows: