CO: Average Hours Worked per Person Employed: Annual Growth: Total data was reported at -0.410 % in 2022. This records a decrease from the previous number of 11.460 % for 2021. CO: Average Hours Worked per Person Employed: Annual Growth: Total data is updated yearly, averaging -0.150 % from Dec 2016 (Median) to 2022, with 7 observations. The data reached an all-time high of 11.460 % in 2021 and a record low of -13.140 % in 2020. CO: Average Hours Worked per Person Employed: Annual Growth: Total data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Colombia – Table CO.OECD.PDB: Hours Worked: by Industry: OECD Member: Annual.

Between 2011 and 2023, full-time employees in Iceland worked significantly more than people in the four other Nordic countries and in the EU. In 2023, Icelanders worked 42.5 hours per week on average. Finns, Danes, and Norwegians worked the fewest hours on average. Both Swedes and Icelanders worked more hours than the EU average.

In Sweden, people between 25 and 54 years of age had the on average highest number of weekly working hours from 2013 to 2023. In 2023, people in this age group worked 31.1 hours on average. The equivalent number for the oldest age group (55 to 74 years) was 29.2 hours, whereas it only was 24.4 hours for the youngest age group, which includes students who often work part-time. The average number of weekly working hours for all age groups in the country that year was 30 hours.

The statistic shows the hours worked per week by global software developers in 2020. According to the survey, over ** percent of developers work less than ** hours per week, while only *** percent of respondents work less than ** hours weekly.

China: Average hours worked per year: The latest value from is hours, unavailable from hours in . In comparison, the world average is 0.00 hours, based on data from countries. Historically, the average for China from to is hours. The minimum value, hours, was reached in while the maximum of hours was recorded in .

This dataset provides values for AVERAGE WEEKLY HOURS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Vietnam: Average hours worked per year: The latest value from is hours, unavailable from hours in . In comparison, the world average is 0.00 hours, based on data from countries. Historically, the average for Vietnam from to is hours. The minimum value, hours, was reached in while the maximum of hours was recorded in .

Bolivia BO: Average Working Hours of Children: Working Only: Male: Aged 7-14: Hours per Week data was reported at 39.300 Hour in 2015. This records an increase from the previous number of 37.322 Hour for 2013. Bolivia BO: Average Working Hours of Children: Working Only: Male: Aged 7-14: Hours per Week data is updated yearly, averaging 39.300 Hour from Dec 2009 (Median) to 2015, with 3 observations. The data reached an all-time high of 39.700 Hour in 2009 and a record low of 37.322 Hour in 2013. Bolivia BO: Average Working Hours of Children: Working Only: Male: Aged 7-14: Hours per Week data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Labour Force. Average working hours of children working only refers to the average weekly working hours of those children who are involved in economic activity and not attending school.;Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.;;

Mali: Average hours worked per year: The latest value from is hours, unavailable from hours in . In comparison, the world average is 0.00 hours, based on data from countries. Historically, the average for Mali from to is hours. The minimum value, hours, was reached in while the maximum of hours was recorded in .

Equatorial Guinea: Average hours worked per year: The latest value from is hours, unavailable from hours in . In comparison, the world average is 0.00 hours, based on data from countries. Historically, the average for Equatorial Guinea from to is hours. The minimum value, hours, was reached in while the maximum of hours was recorded in .

The objective of this four-year statistic is to know the working conditions of the Basque employee population, including the situation of those engaged in the care of dependent persons and domestic work, and that of the autonomous population with traits similar to those of the employee. More information in the https://www.euskadi.eus/informacion/encuesta-de-condiciones-de-trabajo-ect/web01-s2lanju/es/ departmental statistical portal.

Gross domestic product (GDP) is a measure for the economic activity. It is defined as the value of all goods and services produced less the value of any goods or services used in their creation. GDP per person employed is intended to give an overall impression of the productivity of national economies expressed in relation to the European Union average. If the index of a country is higher than 100, this country's level of GDP per person employed is higher than the EU average and vice versa. Basic figures are expressed in PPS, i.e. a common currency that eliminates the differences in price levels between countries allowing meaningful volume comparisons of GDP between countries. Please note that 'persons employed' does not distinguish between full-time and part-time employment. Labour productivity per hour worked is calculated as real output per unit of labour input (measured by the total number of hours worked). Measuring labour productivity per hour worked provides a better picture of productivity developments in the economy than labour productivity per person employed, as it eliminates differences in the full time/part time composition of the workforce across countries and years.

Tabular dataset containing descriptors like min, max, median of GDP per capita for many countries from the 1960s up to 2019, combined with average yearly sunshine hours extrapolated from readings in some cities of those countries.

Metadata according to the W3C's CSV on Web Recommendation, using the Dublin Core vocabulary.

In 2023, users in Indonesia spent on average **** hours a day on their mobile phones, marking an increase from approximately *** hours in 2020. Mobile users in Thailand and India had the second and third highest daily screen times among the selected countries, averaging **** and **** hours, respectively. With the exception of Indonesia and South Korea, all the surveyed APAC countries saw an increase in mobile screen times over the previous year.

This bar chart displays self-employed workers (% of total employment) by country using the aggregation average in Israel. The data is filtered where the date is 2021. The data is about countries per year.

This statistic show the average weekly time spent reading newspapers in the Asia Pacific region in 2014, by country. In this year, consumers in Thailand spent approximately 3.4 hours a week reading newspapers.

Sudan SD: Average Working Hours of Children: Working Only: Aged 7-14: Hours per Week data was reported at 11.685 Hour in 2014. Sudan SD: Average Working Hours of Children: Working Only: Aged 7-14: Hours per Week data is updated yearly, averaging 11.685 Hour from Dec 2014 (Median) to 2014, with 1 observations. Sudan SD: Average Working Hours of Children: Working Only: Aged 7-14: Hours per Week data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Labour Force. Average working hours of children working only refers to the average weekly working hours of those children who are involved in economic activity and not attending school.; ; Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.; ;

This bar chart displays unemployment (% of total labor force) by country using the aggregation average in Kuwait. The data is filtered where the date is 2023. The data is about countries per year.

This bar chart displays self-employed workers (% of total employment) by countries yearly using the aggregation average in Togo. The data is filtered where the date is 2021. The data is about countries per year.

Goal 8Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for allTarget 8.1: Sustain per capita economic growth in accordance with national circumstances and, in particular, at least 7 per cent gross domestic product growth per annum in the least developed countriesIndicator 8.1.1: Annual growth rate of real GDP per capitaNY_GDP_PCAP: Annual growth rate of real GDP per capita (%)Target 8.2: Achieve higher levels of economic productivity through diversification, technological upgrading and innovation, including through a focus on high-value added and labour-intensive sectorsIndicator 8.2.1: Annual growth rate of real GDP per employed personSL_EMP_PCAP: Annual growth rate of real GDP per employed person (%)Target 8.3: Promote development-oriented policies that support productive activities, decent job creation, entrepreneurship, creativity and innovation, and encourage the formalization and growth of micro-, small- and medium-sized enterprises, including through access to financial servicesIndicator 8.3.1: Proportion of informal employment in total employment, by sector and sexSL_ISV_IFEM: Proportion of informal employment, by sector and sex (ILO harmonized estimates) (%)Target 8.4: Improve progressively, through 2030, global resource efficiency in consumption and production and endeavour to decouple economic growth from environmental degradation, in accordance with the 10-Year Framework of Programmes on Sustainable Consumption and Production, with developed countries taking the leadIndicator 8.4.1: Material footprint, material footprint per capita, and material footprint per GDPEN_MAT_FTPRPG: Material footprint per unit of GDP, by type of raw material (kilograms per constant 2010 United States dollar)EN_MAT_FTPRPC: Material footprint per capita, by type of raw material (tonnes)EN_MAT_FTPRTN: Material footprint, by type of raw material (tonnes)Indicator 8.4.2: Domestic material consumption, domestic material consumption per capita, and domestic material consumption per GDPEN_MAT_DOMCMPT: Domestic material consumption, by type of raw material (tonnes)EN_MAT_DOMCMPG: Domestic material consumption per unit of GDP, by type of raw material (kilograms per constant 2010 United States dollars)EN_MAT_DOMCMPC: Domestic material consumption per capita, by type of raw material (tonnes)Target 8.5: By 2030, achieve full and productive employment and decent work for all women and men, including for young people and persons with disabilities, and equal pay for work of equal valueIndicator 8.5.1: Average hourly earnings of employees, by sex, age, occupation and persons with disabilitiesSL_EMP_EARN: Average hourly earnings of employees by sex and occupation (local currency)Indicator 8.5.2: Unemployment rate, by sex, age and persons with disabilitiesSL_TLF_UEM: Unemployment rate, by sex and age (%)SL_TLF_UEMDIS: Unemployment rate, by sex and disability (%)Target 8.6: By 2020, substantially reduce the proportion of youth not in employment, education or trainingIndicator 8.6.1: Proportion of youth (aged 15–24 years) not in education, employment or trainingSL_TLF_NEET: Proportion of youth not in education, employment or training, by sex and age (%)Target 8.7: Take immediate and effective measures to eradicate forced labour, end modern slavery and human trafficking and secure the prohibition and elimination of the worst forms of child labour, including recruitment and use of child soldiers, and by 2025 end child labour in all its formsIndicator 8.7.1: Proportion and number of children aged 5–17 years engaged in child labour, by sex and ageSL_TLF_CHLDEC: Proportion of children engaged in economic activity and household chores, by sex and age (%)SL_TLF_CHLDEA: Proportion of children engaged in economic activity, by sex and age (%)Target 8.8: Protect labour rights and promote safe and secure working environments for all workers, including migrant workers, in particular women migrants, and those in precarious employmentIndicator 8.8.1: Fatal and non-fatal occupational injuries per 100,000 workers, by sex and migrant statusSL_EMP_FTLINJUR: Fatal occupational injuries among employees, by sex and migrant status (per 100,000 employees)SL_EMP_INJUR: Non-fatal occupational injuries among employees, by sex and migrant status (per 100,000 employees)Indicator 8.8.2: Level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislation, by sex and migrant statusSL_LBR_NTLCPL: Level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislationTarget 8.9: By 2030, devise and implement policies to promote sustainable tourism that creates jobs and promotes local culture and productsIndicator 8.9.1: Tourism direct GDP as a proportion of total GDP and in growth rateST_GDP_ZS: Tourism direct GDP as a proportion of total GDP (%)Target 8.10: Strengthen the capacity of domestic financial institutions to encourage and expand access to banking, insurance and financial services for allIndicator 8.10.1: (a) Number of commercial bank branches per 100,000 adults and (b) number of automated teller machines (ATMs) per 100,000 adultsFB_ATM_TOTL: Number of automated teller machines (ATMs) per 100,000 adultsFB_CBK_BRCH: Number of commercial bank branches per 100,000 adultsIndicator 8.10.2: Proportion of adults (15 years and older) with an account at a bank or other financial institution or with a mobile-money-service providerFB_BNK_ACCSS: Proportion of adults (15 years and older) with an account at a financial institution or mobile-money-service provider, by sex (% of adults aged 15 years and older)Target 8.a: Increase Aid for Trade support for developing countries, in particular least developed countries, including through the Enhanced Integrated Framework for Trade-related Technical Assistance to Least Developed CountriesIndicator 8.a.1: Aid for Trade commitments and disbursementsDC_TOF_TRDCMDL: Total official flows (commitments) for Aid for Trade, by donor countries (millions of constant 2018 United States dollars)DC_TOF_TRDDBMDL: Total official flows (disbursement) for Aid for Trade, by donor countries (millions of constant 2018 United States dollars)DC_TOF_TRDDBML: Total official flows (disbursement) for Aid for Trade, by recipient countries (millions of constant 2018 United States dollars)DC_TOF_TRDCML: Total official flows (commitments) for Aid for Trade, by recipient countries (millions of constant 2018 United States dollars)Target 8.b: By 2020, develop and operationalize a global strategy for youth employment and implement the Global Jobs Pact of the International Labour OrganizationIndicator 8.b.1: Existence of a developed and operationalized national strategy for youth employment, as a distinct strategy or as part of a national employment strategySL_CPA_YEMP: Existence of a developed and operationalized national strategy for youth employment, as a distinct strategy or as part of a national employment strategy