language: fa
pretty_name: Iran Executive Agency Employees by Education Level and Province 2022
tags:
- iran
- government_employees
- public_sector
- workforce
- employment_statistics
- education_level
- province_breakdown
- executive_agencies
- '2022'
- tabular
license: cc-by-4.0
configs:
- config_name: default
data_files: iran_executive_agency_employees_by_province_education_2022.csv
Iran Executive Agency Employees Statistics by Province and Education Level (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 educational level. This information is vital for policymakers, researchers, and anyone interested in the geographic distribution and educational 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 |
Below_Diploma |
Number of employees with education level below diploma in the respective province. | Integer | 5116 |
Diploma |
Number of employees with diploma education level in the respective province. | Integer | 10644 |
Associate_Degree |
Number of employees with an associate degree (Fogh Diplom) in the respective province. | Integer | 5285 |
Bachelors_Degree |
Number of employees with a bachelor's degree (Lisans) in the respective province. | Integer | 37853 |
Masters_Degree |
Number of employees with a master's degree (Fogh Lisans) in the respective province. | Integer | 34262 |
Doctorate |
Number of employees with a doctorate degree (Doktori) in the respective province. | Integer | 5510 |
Total_Employees_by_Province |
Total number of employees in the respective province across all listed educational levels. | 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 |
Educational_Level_Terms
The following educational level terms are used as column headers:
Below_Diploma(کمتر از دیپلم)Diploma(دیپلم)Associate_Degree(فوق دیپلم)Bachelors_Degree(لیسانس)Masters_Degree(فوق لیسانس)Doctorate(دکتری)
Usage_Examples
This dataset can be used for various purposes, including but not limited to:
- Regional Development Studies: Analyzing the distribution of educated workforce across different provinces.
- Public Policy Analysis: Informing decisions related to regional human resource allocation and capacity building in government agencies.
- Academic Research: Studying the demographic and educational characteristics of government employees at a provincial level.
- Data Visualization: Creating informative maps and charts to represent the educational landscape of public sector employment across Iran.---