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DataBank

Metadata Glossary

Showing Results from 251 to 300 of 451
Prevalence of wasting, weight for height, female (% of children under 5)
DimensionSeries
Database NameGender Statistics
CodeSource
SH.STA.WAST.FE.ZSUNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
DescriptionPrevalence of wasting, female, is the proportion of girls under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.
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Prevalence of wasting, weight for height, male (% of children under 5)
DimensionSeries
Database NameGender Statistics
CodeSource
SH.STA.WAST.MA.ZSUNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology., UN Children's Fund (UNICEF), note: Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Health Organization (WHO), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology; World Bank (WB), note: Joint child Malnutrition Estimates (JME); Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology
DescriptionPrevalence of wasting, male, is the proportion of boys under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.
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Primary completion rate, female (% of relevant age group)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.PRM.CMPT.FE.ZSStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS), data accessed: 2024-04-23, date published: 2024-02
DescriptionPrimary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.
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Primary completion rate, female, based on completers
DimensionSeries
Database NameGender Statistics
CodeSource
SE.PRM.CMPL.FE.ZS
DescriptionPrimary completion rate is the percentage of students completing the last year of primary school. The rate based on completers is calculated by taking the total number of completers in the last grade of primary school divided by the total number of children of official graduation age.
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Primary completion rate, male (% of relevant age group)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.PRM.CMPT.MA.ZSStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS), data accessed: 2024-04-23, date published: 2024-02
DescriptionPrimary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.
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Primary completion rate, male, based on completers
DimensionSeries
Database NameGender Statistics
CodeSource
SE.PRM.CMPL.MA.ZS
DescriptionPrimary completion rate is the percentage of students completing the last year of primary school. The rate based on completers is calculated by taking the total number of completers in the last grade of primary school divided by the total number of children of official graduation age.
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Primary education, pupils (% female)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.PRM.ENRL.FE.ZSStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
DescriptionFemale pupils as a percentage of total pupils at primary level include enrollments in public and private schools.
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Primary education, teachers (% female)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.PRM.TCHR.FE.ZSStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS), data accessed: 2024-04-23, date published: 2024-02
DescriptionFemale teachers as a percentage of total primary education teachers includes full-time and part-time teachers.
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Progression to secondary school, female (%)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.SEC.PROG.FE.ZSStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
DescriptionProgression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year).
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Progression to secondary school, male (%)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.SEC.PROG.MA.ZSStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
DescriptionProgression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year).
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Proportion of seats held by women in national parliaments (%)
DimensionSeries
Database NameGender Statistics
CodeSource
SG.GEN.PARL.ZSMonthly ranking of women in national parliaments, Inter-Parliamentary Union (IPU), uri: https://data.ipu.org/women-ranking/, note: For the year of 1998, the data is as of August 10, 1998., type: Excel, data accessed: 2024-03-21
DescriptionWomen in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women.
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Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)
DimensionSeries
Database NameGender Statistics
CodeSource
SG.TIM.UWRK.FENational statistical offices or national database and publications, United Nations (UN), uri: https://unstats.un.org/sdgs/dataportal/database, note: Indicator code from the original source: SH_FPL_INFM; Indicator name from the original source: Proportion of time spent on unpaid domestic chores and care work, by sex, age and location (%), publisher: UN Statistics Division, type: Excel
DescriptionThe average time women spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others.
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Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)
DimensionSeries
Database NameGender Statistics
CodeSource
SG.TIM.UWRK.MANational statistical offices or national database and publications compiled by United Nations Statistics Division., United Nations (UN), uri: https://unstats.un.org/sdgs/dataportal/database, note: Indicator code from the original source: SH_FPL_INFM; Indicator name from the original source: Proportion of time spent on unpaid domestic chores and care work, by sex, age and location (%), publisher: UN Statistics Division, type: Excel
DescriptionThe average time men spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others.
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Proportion of women in ministerial level positions (%)
DimensionSeries
Database NameGender Statistics
CodeSource
SG.GEN.MNST.ZSInter-Parliamentary Union. United Nations Entity for Gender Equality and the Empowerment of Women (UN Women). Women in Politics.
DescriptionWomen in ministerial level positions is the proportion of women in ministerial or equivalent positions (including deputy prime ministers) in the government. Prime Ministers/Heads of Government are included when they hold ministerial portfolios. Vice-Presidents and heads of governmental or public agencies are excluded.
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Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of ever-partnered women ages 15-49)
DimensionSeries
Database NameGender Statistics
CodeSource
SG.VAW.1549.ZSUnited Nations (UN), uri: https://unstats.un.org/sdgs/dataportal/database, note: Indicator code from the original source: VC_VAW_MARR; Indicator name from the original source: Proportion of ever-partnered women and girls subjected to physical and/or sexual violence by a current or former intimate partner in the previous 12 months, by age (%) , publisher: UN Statistics Division, type: API; Global Health Observatory, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/indicators/indicator-details/GHO/proportion-of-ever-partnered-women-and-girls-aged-15-49-years-subjected-to-physical-and-or-sexual-violence-by-a-current-or-former-intimate-partner-in-the-previous-12-months, publisher: WHO
DescriptionProportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women age 15-49 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.
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Ratio of female to male labor force participation rate (%) (modeled ILO estimate)
DimensionSeries
Database NameGender Statistics
CodeSource
SL.TLF.CACT.FM.ZSILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: estimates based on external database; Staff estimates, World Bank (WB)
DescriptionLabor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.
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Ratio of female to male labor force participation rate (%) (national estimate)
DimensionSeries
Database NameGender Statistics
CodeSource
SL.TLF.CACT.FM.NE.ZSLabour Force Statistics database (LFS), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: estimates based on external database; Staff estimates, World Bank (WB)
DescriptionRatio of female to male labor force participation rate is the proportion of female labor force participation relative to male labor force participation. The labor force participation rate is the labor force as a percent of the population ages 15 and older. The labor force is the sum of all persons of working age who are employed and those who are unemployed.
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Ratio of female to male youth unemployment rate (% ages 15-24) (modeled ILO estimate)
DimensionSeries
Database NameGender Statistics
CodeSource
SL.UEM.1524.FM.ZSWorld Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/.
DescriptionRatio of female to male youth unemployment is the percentage of female to male youth unemployment rates.
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Ratio of female to male youth unemployment rate (% ages 15-24) (national estimate)
DimensionSeries
Database NameGender Statistics
CodeSource
SL.UEM.1524.FM.NE.ZSWorld Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/.
DescriptionRatio of female to male youth unemployment is the percentage of female to male youth unemployment rates.
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Rural population, female (% of total)
DimensionSeries
Database NameGender Statistics
CodeSource
SP.RUR.TOTL.FE.ZSThe United Nations Population Division's World Urbanization Prospects.
DescriptionFemale rural population is the percentage of females who live in rural areas to total population.
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Rural population, male (% of total)
DimensionSeries
Database NameGender Statistics
CodeSource
SP.RUR.TOTL.MA.ZSThe United Nations Population Division's World Urbanization Prospects.
DescriptionMale rural population is the percentage males who live in rural areas to total population.
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School enrollment, primary (gross), gender parity index (GPI)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.ENR.PRIM.FM.ZSStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
DescriptionGender parity index for gross enrollment ratio in primary education is the ratio of girls to boys enrolled at primary level in public and private schools.
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School enrollment, primary and secondary (gross), gender parity index (GPI)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.ENR.PRSC.FM.ZSStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
DescriptionGender parity index for gross enrollment ratio in primary and secondary education is the ratio of girls to boys enrolled at primary and secondary levels in public and private schools.
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School enrollment, primary, female (% gross)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.PRM.ENRR.FEStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), data accessed: 2024-04-23, date published: 2024-02
DescriptionGross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
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School enrollment, primary, female (% net)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.PRM.NENR.FEUNESCO Institute for Statistics (UIS), UN Educational, Scientific and Cultural Organization (UNESCO), uri: http://uis.unesco.org/, publisher: UNESCO Institute for Statistics (UIS)
DescriptionNet enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
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School enrollment, primary, male (% gross)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.PRM.ENRR.MAStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), data accessed: 2024-04-23, date published: 2024-02
DescriptionGross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
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School enrollment, primary, male (% net)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.PRM.NENR.MAStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
DescriptionNet enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.
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School enrollment, secondary (gross), gender parity index (GPI)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.ENR.SECO.FM.ZSStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
DescriptionGender parity index for gross enrollment ratio in secondary education is the ratio of girls to boys enrolled at secondary level in public and private schools.
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School enrollment, secondary, female (% gross)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.SEC.ENRR.FEStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), data accessed: 2024-04-23, date published: 2024-02
DescriptionGross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
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School enrollment, secondary, female (% net)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.SEC.NENR.FEStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
DescriptionNet enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
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School enrollment, secondary, male (% gross)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.SEC.ENRR.MAStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), data accessed: 2024-04-23, date published: 2024-02
DescriptionGross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
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School enrollment, secondary, male (% net)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.SEC.NENR.MAStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
DescriptionNet enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.
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School enrollment, tertiary (gross), gender parity index (GPI)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.ENR.TERT.FM.ZSStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS), data accessed: 2024-04-23, date published: 2024-02
DescriptionGender parity index for gross enrollment ratio in tertiary education is the ratio of women to men enrolled at tertiary level in public and private schools.
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School enrollment, tertiary, female (% gross)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.TER.ENRR.FEStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), data accessed: 2024-04-23, date published: 2024-02
DescriptionGross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level.
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School enrollment, tertiary, male (% gross)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.TER.ENRR.MAStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS), type: Bulk file (csv), data accessed: 2024-04-23, date published: 2024-02
DescriptionGross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level.
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Secondary education, pupils (% female)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.SEC.ENRL.FE.ZSStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS)
DescriptionFemale pupils as a percentage of total pupils at secondary level includes enrollments in public and private schools.
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Secondary education, teachers (% female)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.SEC.TCHR.FE.ZSStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS), data accessed: 2024-04-23, date published: 2024-02
DescriptionFemale teachers as a percentage of total secondary education teachers includes full-time and part-time teachers.
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Self-employed, female (% of female employment) (modeled ILO estimate)
DimensionSeries
Database NameGender Statistics
CodeSource
SL.EMP.SELF.FE.ZSILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, data accessed: January 07, 2025
DescriptionSelf-employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs." i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced. Self-employed workers include sub-categories of employers, own-account workers and members of producers' cooperatives and contributing family workers.
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Self-employed, male (% of male employment) (modeled ILO estimate)
DimensionSeries
Database NameGender Statistics
CodeSource
SL.EMP.SELF.MA.ZSILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, data accessed: January 07, 2025
DescriptionSelf-employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs." i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced. Self-employed workers include sub-categories of employers, own-account workers and members of producers' cooperatives and contributing family workers.
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Sex ratio at birth (male births per female births)
DimensionSeries
Database NameGender Statistics
CodeSource
SP.POP.BRTH.MFWorld Population Prospects, United Nations (UN), publisher: UN Population Division
DescriptionSex ratio at birth refers to male births per female births.
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Start-up procedures to register a business, female (number)
DimensionSeries
Database NameGender Statistics
CodeSource
IC.REG.PROC.FEWorld Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
DescriptionStart-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.
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Start-up procedures to register a business, male (number)
DimensionSeries
Database NameGender Statistics
CodeSource
IC.REG.PROC.MAWorld Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
DescriptionStart-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.
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Tertiary education, academic staff (% female)
DimensionSeries
Database NameGender Statistics
CodeSource
SE.TER.TCHR.FE.ZSStat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://uis.unesco.org/bdds, publisher: UNESCO Institute for Statistics (UIS), data accessed: 2024-04-23, date published: 2024-02
DescriptionTertiary education, academic staff (% female) is the share of female academic staff in tertiary education.
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The law prohibits discrimination in employment based on gender (1=yes; 0=no)
DimensionSeries
Database NameGender Statistics
CodeSource
SG.LAW.NODC.HRWorld Bank: Women, Business and the Law. https://wbl.worldbank.org/
DescriptionThe indicator measures whether the law generally prevents or penalizes gender-based discrimination in employment. Laws that mandate equal treatment or equality between women and men in employment are also counted for this question. It is not considered whether the laws only prohibit discrimination in one aspect of employment, such as pay or dismissal.
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There is legislation specifically addressing domestic violence (1=yes; 0=no)
DimensionSeries
Database NameGender Statistics
CodeSource
SG.LEG.DVAWWorld Bank: Women, Business and the Law. https://wbl.worldbank.org/
DescriptionThe indicator measures whether there is legislation addressing domestic violence that includes criminal sanctions or provides for protection orders for domestic violence, or the legislation addresses "harassment" that clearly leads to physical or mental harm in the context of domestic violence.
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Time required to start a business, female (days)
DimensionSeries
Database NameGender Statistics
CodeSource
IC.REG.DURS.FEWorld Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
DescriptionTime required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.
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Time required to start a business, male (days)
DimensionSeries
Database NameGender Statistics
CodeSource
IC.REG.DURS.MAWorld Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme
DescriptionTime required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.
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Time-related underemployment, female (% of employment)
DimensionSeries
Database NameGender Statistics
CodeSource
SL.EMP.UNDR.FE.ZSInternational Labour Organization. “Labour Force Statistics database (LFS)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.
DescriptionTime-related underemployment refers to all persons in employment who (i) wanted to work additional hours, (ii) had worked less than a specified hours threshold (working time in all jobs), and (iii) were available to work additional hours given an opportunity for more work.
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Time-related underemployment, male (% of employment)
DimensionSeries
Database NameGender Statistics
CodeSource
SL.EMP.UNDR.MA.ZSInternational Labour Organization. “Labour Force Statistics database (LFS)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.
DescriptionTime-related underemployment refers to all persons in employment who (i) wanted to work additional hours, (ii) had worked less than a specified hours threshold (working time in all jobs), and (iii) were available to work additional hours given an opportunity for more work.
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Unemployment with advanced education, female (% of female labor force with advanced education)
DimensionSeries
Database NameGender Statistics
CodeSource
SL.UEM.ADVN.FE.ZSEducation and Mismatch Indicators database (EMI), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, data accessed: January 07, 2025
DescriptionThe 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).
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