Unemployment Rate in Saudi Arabia decreased to 2.80 percent in the first quarter of 2025 from 3.50 percent in the fourth quarter of 2024. This dataset provides - Saudi Arabia Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Explore the dataset on unemployment rates for Saudis and non-Saudis by sex in Saudi Arabia . Gain insights on labor trends and gender disparities with SAMA Annual data.

Labor, Unemployment, Nationality, Gender, SAMA Annual

Saudi ArabiaFollow data.kapsarc.org for timely data to advance energy economics research..

Historical dataset showing Saudi Arabia youth unemployment rate by year from 1991 to 2024.

Saudi Arabia Unemployment Rate: Female data was reported at 11.413 % in Dec 2023. This records a decrease from the previous number of 13.687 % for Sep 2023. Saudi Arabia Unemployment Rate: Female data is updated quarterly, averaging 20.270 % from Jun 2016 (Median) to Dec 2023, with 31 observations. The data reached an all-time high of 25.337 % in Jun 2020 and a record low of 11.413 % in Dec 2023. Saudi Arabia Unemployment Rate: Female data remains active status in CEIC and is reported by General Authority for Statistics. The data is categorized under Global Database’s Saudi Arabia – Table SA.G021: Unemployment Rate (Discontinued).

Explore labor force indicators dataset including information on employed persons, unemployment rate, population groups excluded from the labor force, and more. Access data on male and female populations, participation rates, and employment statistics in Saudi Arabia.

Population not in the Labour Force, Employed persons, Unemployment Rate, Male, Unemployment, %, Total, Population Groups Excluded from the Labor Force, Female, Number, Labor Force, Population, Unemployment, Participation Rate, Employment, Labor, Labor Force data

Saudi ArabiaFollow data.kapsarc.org for timely data to advance energy economics research..Sources:Total Employed Persons - Saudi Employed Persons - Non-Saudi Employed Persons : GOSI , MCS, MLSDSaudi Job Seekers: HRDF, MCS, NICother indicators: Estimated data from the GaStat Labor Force Survey (LFS)Data do not include employees in the security and military sectors and non-registered in the records of GOSI, MCSFor data after 2016 go to : Main Labor Market Indicators

Saudi Arabia Unemployment Rate: Male data was reported at 2.311 % in Dec 2023. This records a decrease from the previous number of 2.481 % for Sep 2023. Saudi Arabia Unemployment Rate: Male data is updated quarterly, averaging 2.944 % from Jun 2016 (Median) to Dec 2023, with 31 observations. The data reached an all-time high of 4.699 % in Jun 2020 and a record low of 2.154 % in Dec 2019. Saudi Arabia Unemployment Rate: Male data remains active status in CEIC and is reported by General Authority for Statistics. The data is categorized under Global Database’s Saudi Arabia – Table SA.G021: Unemployment Rate (Discontinued).

Saudi Arabia SA: Unemployment Rate data was reported at 5.645 % in Jun 2016. This records an increase from the previous number of 5.591 % for Dec 2015. Saudi Arabia SA: Unemployment Rate data is updated quarterly, averaging 5.630 % from Mar 2007 (Median) to Jun 2016, with 19 observations. The data reached an all-time high of 6.000 % in Mar 2014 and a record low of 4.992 % in Mar 2008. Saudi Arabia SA: Unemployment Rate data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Saudi Arabia – Table SA.IMF.IFS: Labour Force, Employment and Unemployment: Quarterly.

This dataset contains Saudi Arabia Labor Force Survey Data. Data from General Authority for Statistics. Follow datasource.kapsarc.org for timely data to advance energy economics research.Labor Force Survey (General Authority for Statistics):- It is a sample household survey conducted by the General Authority for Statistics every quarter, in which information is collected through telephone contact (CATI) with an updated sample in 2020, and therefore survey estimates are based on a sample subject to a change in response rate, and all face-to-face interviews were replaced by telephone interviews to protect the health of each From interlocutors and respondents due to the Corona pandemic since the second quarter of 2020, and data is collected from an updated sample of 53,360 households.- According to the international standards to which the Kingdom of Saudi Arabia adheres, and which are applied in the G-20 countries, the survey provides estimates of the population inside and outside the labor force, and provides the most important labor market indicators such as: unemployment rate and labor force participation rate.- Adhering to these standards facilitates the process of international comparisons between countries in labor market indicators.As the scope of the LFS is wider than the one covered by administrative records, the absolute numbers of the two different sources are not identical.* CAPI mode Q1 2017 to Q1 2020 * CATI mode Q2 2020 to Q1 2021

Descriptive statistics of the whole data set.

Saudi Arabia Unemployment Rate: Saudi: Female data was reported at 13.658 % in Dec 2023. This records a decrease from the previous number of 16.350 % for Sep 2023. Saudi Arabia Unemployment Rate: Saudi: Female data is updated quarterly, averaging 31.440 % from Mar 2012 (Median) to Dec 2023, with 45 observations. The data reached an all-time high of 35.694 % in Dec 2012 and a record low of 13.658 % in Dec 2023. Saudi Arabia Unemployment Rate: Saudi: Female data remains active status in CEIC and is reported by General Authority for Statistics. The data is categorized under Global Database’s Saudi Arabia – Table SA.G021: Unemployment Rate (Discontinued).

Saudi Arabia SA: Unemployment with Intermediate Education: % of Total Labour Force data was reported at 26.880 % in 2014. This records an increase from the previous number of 18.100 % for 2009. Saudi Arabia SA: Unemployment with Intermediate Education: % of Total Labour Force data is updated yearly, averaging 22.490 % from Dec 2009 (Median) to 2014, with 2 observations. The data reached an all-time high of 26.880 % in 2014 and a record low of 18.100 % in 2009. Saudi Arabia SA: Unemployment with Intermediate Education: % of Total Labour Force data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Saudi Arabia – Table SA.World Bank: Employment and Unemployment. The percentage of the labor force with an intermediate level of education who are unemployed. Intermediate education comprises upper secondary or post-secondary non tertiary education according to the International Standard Classification of Education 2011 (ISCED 2011).; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted Average;

Saudi Arabia Unemployment Rate: Non-Saudi: Female data was reported at 5.101 % in Dec 2023. This records a decrease from the previous number of 6.395 % for Sep 2023. Saudi Arabia Unemployment Rate: Non-Saudi: Female data is updated quarterly, averaging 2.455 % from Mar 2012 (Median) to Dec 2023, with 45 observations. The data reached an all-time high of 9.511 % in Jun 2020 and a record low of 0.065 % in Sep 2012. Saudi Arabia Unemployment Rate: Non-Saudi: Female data remains active status in CEIC and is reported by General Authority for Statistics. The data is categorized under Global Database’s Saudi Arabia – Table SA.G021: Unemployment Rate (Discontinued).

This dataset contains Saudi Arabia Labor Market Administrative Records Data. Data from General Authority for Statistics. Follow datasource.kapsarc.org for timely data to advance energy economics research.- It is data and information registered and updated with government agencies related to the labor market and generated through the official electronic registration and documentation processes followed in these agencies, which include all residents of the Kingdom of Saudi Arabia. Ministry of Human Resources and Social Development, General Organization for Social Insurance, and the Center of national information periodically provide the General Authority for Statistics with the data registered with it (data of administrative records are assigned to the last day of the Gregorian quarter of each year).The following table shows the type of data provided by each entity from the labor market statistics sources:Data sourceData and indicatorsGeneral Organization of Social InsuranceParticipants on the job who are subject to social insurance laws and regulations New subscribers subject to social insurance laws and regulationsMinistry of Human Resources and Social DevelopmentEmployees on the job Subject to the rules and regulations of the Civil Service Work visas for private sectorNational Information CentreDomestic workers work visas issued for government sector and for individuals sector

• Administrative records data has several implications for the labor market, but it is not used statistically to measure unemployment, employment or labor force participation rates

  Concepts related to administrative records available at government agencies:

  Workers (based on the administrative records):

  All working individuals subjected to approved regulations and laws from the regulatory entities of labor market and are registered in the administrative records. On the other hand, workers can be classified in the administrative records based on the regulations and laws they are subjected to as follows:

  1- Saudi workers subjected to the laws and regulations of the civil services and working at all governmental institutions and bodies, in other words, workers who hold jobs that are considered within the general budget of the country, also subjected to the civil retirement system (males or females) employees, as well as non-Saudis contractors who fill these positions in accordance the regulations of non-Saudis employment. 2- Participants on the job who are subject and regulations of social insurance as well as labor system, which includes Saudis and non-Saudis. 3- Domestic workers: non-Saudis workers from both genders who work in houses, including servants, cleaners, cooks, waiters, drivers, guards, nurses, and private teachers.

  Administrative data on the labour market do not include the following categories:

  1- Workers of military and security sectors 2- Workers who are not registered in the civil service and social insurance records, which include: - Saudis working for their own businesses and are not subjected to the labor regulations, also, not registered in social insurance, such as: those who work in delivery through electronic apps - Saudi employers who work in establishments and not registered in the social insurance - Non-Saudi staff working in foreign international, political or military missions 3- Non-Saudi employees who come to the Kingdom for work that normally takes less than three months to be completed.

  The National Classification of the Economic Activities:

  It is a statistical classification based on ISIC4 which is the reference of the productive activities.

  Saudi classification of professions:

  It is a statistical classification which is based on ISCO that provides a system to classify and collect professions’ information where they can be obtained by statistical surveys, census and administrative registers.

  Saudi classification for majors and educational levels:

  It is a statistical classification that is based on ISCED which is the reference for organizing educational programs and related qualifications based on the education levels and fields.

  Domestic worker data from NICThe public sector includes those subject to civil service regulations and government employees subject to insurance regulations (GOSI)There are cases for subscribers working on more than one job in different professions, so they may be counted more than once depending on the subscription, not the Participant.

  (1) Primary includes: a one-year diploma after primary school, one year and six months diploma after primary school, and a two-year diploma after primary school.

  (2) Diploma after Intermediate includes: diploma after intermediate , one year diploma after intermediate , one and a half years diploma after intermediate , two years diploma after intermediate , two and a half years diploma after intermediate , and a 3-year diploma after intermediate .

  (3) Diploma under University includes: diploma after high school, diploma one year after high school, two years diploma after high school, two years and six months after high school diploma, three years diploma after high school and one year and six months diploma after high school.

  (4) The undergraduate level includes: a three-year and six-month diploma after high school and a bachelor's.

  (5) Higher Diploma / Master Degree includes: diploma one year after university and diploma in one year and six months after university , two years diploma after university and A two-year and six-month diploma after university and a three-year diploma after university and masters.

  Others include: Diploma after Primary, post-university diploma, fellowship, and diploma after masters.

  Data do not include employees in the security and military sectors and non-registered in the records of GOSI, MHRSD

• Data of the GOSI , MHRSD is preliminary data

Saudi Arabia Unemployment Rate: Annual: Non Saudi data was reported at 0.900 % in 2017. This records an increase from the previous number of 0.600 % for 2016. Saudi Arabia Unemployment Rate: Annual: Non Saudi data is updated yearly, averaging 0.600 % from Dec 1999 (Median) to 2017, with 19 observations. The data reached an all-time high of 1.110 % in 2000 and a record low of 0.080 % in 2012. Saudi Arabia Unemployment Rate: Annual: Non Saudi data remains active status in CEIC and is reported by General Authority for Statistics. The data is categorized under Global Database’s Saudi Arabia – Table SA.G017: Unemployment Rate.

Explore gender statistics data focusing on academic staff, employment, fertility rates, GDP, poverty, and more in the GCC region. Access comprehensive information on key indicators for Bahrain, China, India, Kuwait, Oman, Qatar, and Saudi Arabia.

academic staff, Access to anti-retroviral drugs, Adjusted net enrollment rate, Administration and Law programmes, Age at first marriage, Age dependency ratio, Cause of death, Children out of school, Completeness of birth registration, consumer prices, Cost of business start-up procedures, Employers, Employment in agriculture, Employment in industry, Employment in services, employment or training, Engineering and Mathematics programmes, Female headed households, Female migrants, Fertility planning status: mistimed pregnancy, Fertility planning status: planned pregnancy, Fertility rate, Firms with female participation in ownership, Fisheries and Veterinary programmes, Forestry, GDP, GDP growth, GDP per capita, gender parity index, Gini index, GNI, GNI per capita, Government expenditure on education, Government expenditure per student, Gross graduation ratio, Households with water on the premises, Inflation, Informal employment, Labor force, Labor force with advanced education, Labor force with basic education, Labor force with intermediate education, Learning poverty, Length of paid maternity leave, Life expectancy at birth, Mandatory retirement age, Manufacturing and Construction programmes, Mathematics and Statistics programmes, Number of under-five deaths, Part time employment, Population, Poverty headcount ratio at national poverty lines, PPP, Primary completion rate, Retirement age with full benefits, Retirement age with partial benefits, Rural population, Sex ratio at birth, Unemployment, Unemployment with advanced education, Urban population

Bahrain, China, India, Kuwait, Oman, Qatar, Saudi Arabia

Follow data.kapsarc.org for timely data to advance energy economics research.

Saudi Arabia Unemployment Rate: Non-Saudi data was reported at 1.125 % in Dec 2023. This records a decrease from the previous number of 1.536 % for Sep 2023. Saudi Arabia Unemployment Rate: Non-Saudi data is updated quarterly, averaging 0.686 % from Mar 2012 (Median) to Dec 2023, with 45 observations. The data reached an all-time high of 3.124 % in Jun 2020 and a record low of 0.078 % in Sep 2012. Saudi Arabia Unemployment Rate: Non-Saudi data remains active status in CEIC and is reported by General Authority for Statistics. The data is categorized under Global Database’s Saudi Arabia – Table SA.G021: Unemployment Rate (Discontinued).

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Tadawul All Share Index: A Barometer of Saudi Arabia's Economic Health?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Saudi Arabia Unemployment Rate: Annual: Saudi data was reported at 12.800 % in 2017. This records an increase from the previous number of 11.600 % for 2016. Saudi Arabia Unemployment Rate: Annual: Saudi data is updated yearly, averaging 11.200 % from Dec 1999 (Median) to 2017, with 19 observations. The data reached an all-time high of 12.800 % in 2017 and a record low of 8.100 % in 1999. Saudi Arabia Unemployment Rate: Annual: Saudi data remains active status in CEIC and is reported by General Authority for Statistics. The data is categorized under Global Database’s Saudi Arabia – Table SA.G017: Unemployment Rate.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Saudi Arabia's PIF Bets Big on Lucid Group with $3 Billion Investment

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Saudi Arabia SA: Unemployment with Advance Education: % of Total Labour Force data was reported at 31.130 % in 2014. This records an increase from the previous number of 31.060 % for 2009. Saudi Arabia SA: Unemployment with Advance Education: % of Total Labour Force data is updated yearly, averaging 31.095 % from Dec 2009 (Median) to 2014, with 2 observations. The data reached an all-time high of 31.130 % in 2014 and a record low of 31.060 % in 2009. Saudi Arabia SA: Unemployment with Advance Education: % of Total Labour Force data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Saudi Arabia – Table SA.World Bank: Employment and Unemployment. The percentage of the labor force with an advanced level of education who are unemployed. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted Average;