Of the major industries around the world, only four had a share of 50 percent or more of female workers. The healthcare industry had the highest share with nearly two thirds. On the other hand, just above 20 percent of workers within oil, gas, and mining as well as infrastructure were women as of 2022.

Actual value and historical data chart for United States Population Ages 0 14 Female Percent Of Total

Graph and download economic data for Labor Force Participation Rate - Women (LNS11300002) from Jan 1948 to Sep 2025 about females, participation, 16 years +, labor force, labor, household survey, rate, and USA.

Actual value and historical data chart for United States Population Ages 0 4 Female Percent Of Female Population

In 2025, 622,000 women were on a zero-hours contract in the United Kingdom, compared with 553,000 men. Since 2013, the number of female workers employed on a zero-hours contract has always been higher than that of male employees.

Proportion of women and men employed in the National Occupational Classification (NOC) broad occupational categories, current year.

Palau: Women in parliament, percent: The latest value from 2024 is 25 percent, an increase from 6.25 percent in 2023. In comparison, the world average is 25.88 percent, based on data from 177 countries. Historically, the average for Palau from 1997 to 2024 is 3.57 percent. The minimum value, 0 percent, was reached in 1997 while the maximum of 25 percent was recorded in 2024.

Australia Population: as % of Total: Female: Aged 0-14 data was reported at 17.394 % in 2023. This records a decrease from the previous number of 17.589 % for 2022. Australia Population: as % of Total: Female: Aged 0-14 data is updated yearly, averaging 21.237 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 29.810 % in 1960 and a record low of 17.394 % in 2023. Australia Population: as % of Total: Female: Aged 0-14 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 0 to 14 as a percentage of the total female population. Population is based on the de facto definition of population.;United Nations Population Division. World Population Prospects: 2024 Revision.;Weighted average;Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

Graph and download economic data for Infra-Annual Labor Statistics: Labor Force Participation Rate Female: From 25 to 54 Years for United States (LRAC25FEUSM156S) from Jan 1955 to Aug 2025 about 25 to 54 years, females, participation, labor force, labor, rate, and USA.

Actual value and historical data chart for World Population Ages 0 14 Female Percent Of Total

Time series data for the statistic Population ages 0-14, female and country Albania. Indicator Definition:Female population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.The indicator "Population ages 0-14, female" stands at 219.08 Thousand as of 12/31/2024, the lowest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -2.28 percent compared to the value the year prior.The 1 year change in percent is -2.28.The 3 year change in percent is -6.25.The 5 year change in percent is -9.57.The 10 year change in percent is -18.67.The Serie's long term average value is 402.14 Thousand. It's latest available value, on 12/31/2024, is 45.52 percent lower, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2024, to it's latest available value, on 12/31/2024, is +0.0%.The Serie's change in percent from it's maximum value, on 12/31/1990, to it's latest available value, on 12/31/2024, is -58.66%.

Chad: Ratio of female to male students in tertiary level education: The latest value from 2020 is 0.39 percent, an increase from 0.29 percent in 2015. In comparison, the world average is 1.15 percent, based on data from 131 countries. Historically, the average for Chad from 1972 to 2020 is 0.14 percent. The minimum value, 0 percent, was reached in 1972 while the maximum of 0.39 percent was recorded in 2020.

Time series data for the statistic Population ages 0-14, female and country Seychelles. Indicator Definition:Female population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.The indicator "Population ages 0-14, female" stands at 11.84 Thousand as of 12/31/2024. Regarding the One-Year-Change of the series, the current value constitutes an increase of 0.2711 percent compared to the value the year prior.The 1 year change in percent is 0.2711.The 3 year change in percent is 18.93.The 5 year change in percent is 19.21.The 10 year change in percent is 23.21.The Serie's long term average value is 10.53 Thousand. It's latest available value, on 12/31/2024, is 12.44 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1960, to it's latest available value, on 12/31/2024, is +55.31%.The Serie's change in percent from it's maximum value, on 12/31/2022, to it's latest available value, on 12/31/2024, is -0.755%.

Actual value and historical data chart for Germany Population Ages 0 4 Female Percent Of Female Population

Aha's Nenu Super Woman dataset

With 64 fields/features and 38 rows.

Dataset has below features/columns:

• Season Number - Season number
• Startup Name - Startup company name
• Season Start - Season first aired date
• Season End - Season last aired date
• Episode Number - Episode number within the season
• Anchor - Name of the anchor
• Pitch Number - Overall pitch number
• Industry - Industry name or type
• Business Description - Business Description
• Company Website - Company Website URL
• Entrepreneur Names - Name of the entrepreneurs
• Number of Presenters - Number of presenters
• Pitchers Average Age - All pitchers average age, <30 young, 30-50 middle, >50 old
• Started in - Year in which startup was started/incorporated
• Yearly Revenue - Yearly revenue, in lakhs INR, -1 means negative revenue, 0 means pre-revenue
• Monthly Sales - Total monthly sales, in lakhs
• Gross Margin - Gross margin/profit of company, in percentages
• Net Margin - Net margin/profit of company, in percentages
• SKUs - Stock Keeping Units, at the time of pitch
• Original Ask Amount - Original Ask Amount, in lakhs INR
• Original Offered Equity - Original Offered Equity, in percentages
• Valuation Requested - Valuation Requested, in lakhs INR
• Received Offer - Received offer or not, 1-received, 0-not received
• Accepted Offer - Accepted offer or not, 1-accepted, 0-rejected
• Total Deal Amount - Total Deal Amount, in lakhs INR
• Total Deal Equity - Total Deal Equity, in percentages
• Total Deal Debt - Total Deal Debt, in lakhs INR
• Debt Interest - Debt interest rate, in percentages
• Deal Valuation - Deal Valuation, in lakhs INR
• Number of Angels in deal - Number of sharks involved in deal
• Investment Amount Per Angel - Investment Amount Per Angel
• Equity Per Angel - Equity Per Angel
• Deal has conditions - Deal has conditions or not?
• Has Patents - Pitcher has Patents? yes/no
• Royalty deal - Deal has royalty or not?
• Super Woman Fund - Super Woman fund, in lakhs INR
• Deepa Investment Amount - Deepa Investment Amount, in lakhs INR
• Deepa Investment Equity - Deepa Investment Equity, in percentages
• Deepa Debt Amount - Deepa Debt Amount, in lakhs INR
• Renuka Investment Amount - Renuka Investment Amount, in lakhs INR
• Renuka Investment Equity - Renuka Investment Equity, in percentages
• Renuka Debt Amount - Renuka Debt Amount, in lakhs INR
• Sridhar Investment Amount - Sridhar Investment Amount, in lakhs INR
• Sridhar Investment Equity - Sridhar Investment Equity, in percentages
• Sridhar Debt Amount - Sridhar Debt Amount, in lakhs INR
• Rohit Investment Amount - Rohit Investment Amount, in lakhs INR
• Rohit Investment Equity - Rohit Investment Equity, in percentages
• Rohit Debt Amount - Rohit Debt Amount, in lakhs INR
• Sindhura Investment Amount - Sindhura Investment Amount, in lakhs INR
• Sindhura Investment Equity - Sindhura Investment Equity, in percentages
• Sindhura Debt Amount - Sindhura Debt Amount, in lakhs INR
• Sudhakar Investment Amount - Sudhakar Investment Amount, in lakhs INR
• Sudhakar Investment Equity - Sudhakar Investment Equity, in percentages
• Sudhakar Debt Amount - Sudhakar Debt Amount, in lakhs INR
• Karan Investment Amount - Karan Investment Amount, in lakhs INR
• Karan Investment Equity - Karan Investment Equity, in percentages
• Karan Debt Amount - Karan Debt Amount, in lakhs INR
• Deepa Present - Whether Deepa present in episode or not
• Renuka Present - Whether Renuka present in episode or not
• Sridhar Present - Whether Sridhar present in episode or not
• Rohit Present - Whether Rohit present in episode or not
• Sindhura Present - Whether Sindhura present in episode or not
• Sudhakar Present - Whether Sudhakar present in episode or not
• Karan Present - Whether Karan present in episode or not

In 2025, out of the *** thousand registered doctors in the United Kingdom, *** thousand were men and *** thousand were women. There was a more pronounced gender gap among specialist doctors in the UK, with ** thousand men to nearly ** thousand women qualified on the specialist register. Although on the GP register, women outnumber men with over ** thousand female GPs to nearly ** thousand male GPs. Gender distribution of UK doctors by age While there are **** male doctors than female doctors in total, the gender distribution of doctors in the UK looks different depending on the age group. Female doctors ********* their male counterpart in all age groups under 45 years old. Therefore, as more doctors retire, the proportion of female doctors will increase. Worldwide make-up of doctors in the UK Although the majority of medical practitioners in the UK received their medical qualification from within the UK, there is still a significant number of doctors who graduated outside the UK. As of 2024, some ** percent of registered doctors in the UK are from the European Economic Area (EEA) while a further third are international medical graduates (IMG) indicating the reliance of the NHS on immigration to support the organization’s workforce.

Time series data for the statistic Starting a business: Cost - Women (% of income per capita) - Score and country Nepal. Indicator Definition:The score for the cost for women benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance.The indicator "Starting a business: Cost - Women (% of income per capita) - Score" stands at 89.91 as of 12/31/2019, the highest value at least since 12/31/2004, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 2.42 percent compared to the value the year prior.The 1 year change in percent is 2.42.The 3 year change in percent is 3.41.The 5 year change in percent is 7.16.The 10 year change in percent is 22.87.The Serie's long term average value is 76.51. It's latest available value, on 12/31/2019, is 17.51 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2006, to it's latest available value, on 12/31/2019, is +48.06%.The Serie's change in percent from it's maximum value, on 12/31/2019, to it's latest available value, on 12/31/2019, is 0.0%.

Time series data for the statistic Starting a business: Cost - Women (% of income per capita) - Score and country Central African Republic. Indicator Definition:The score for the cost for women benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance.The indicator "Starting a business: Cost - Women (% of income per capita) - Score" stands at 36.12 as of 12/31/2019, the highest value at least since 12/31/2004, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 27.57 percent compared to the value the year prior.The 1 year change in percent is 27.57.The 3 year change in percent is 416.61.

Objectives: The primary objective of this cluster randomised controlled trial was to compare the effectiveness of the three experimental continence promotion interventions against a control intervention on urinary symptom improvement in older women with untreated incontinence recruited from community organisations. Setting: 71 community organisations across the United Kingdom Participants: 259 women aged 60 years and older with untreated incontinence entered the trial; 88% completed the 3-month follow-up. Interventions: The three active interventions consisted of a single 60-minute group workshop on 1) continence education (20 clusters, 64 women); 2) evidence-based self-management (17 clusters, 70 women); or 3) combined education and self-management (17 clusters, 61 women). The control intervention was a single 60-minute educational group workshop on memory loss, polypharmacy and osteoporosis (17 clusters, 64 women). Primary and secondary outcome measures: The primary outcome was self-reported improvement in incontinence 3 months post-intervention at the level of the individual. The secondary outcome was change in the International Consultation on Incontinence Questionnaire (ICIQ). Changes in incontinence-related knowledge and behaviours were also assessed. Results: The highest rate of urinary symptom improvement occurred in the combined intervention group (66% vs 11% of the control group, prevalence difference 55%, 95% CI 43%-67%, intracluster correlation 0). Thirty percent versus 6% of participants reported significant improvement respectively (prevalence difference 23%, 95% CI 10%-36%, intracluster correlation 0). The number-needed-to-treat was 2 to achieve any improvement in incontinence symptoms, and 5 to attain significant improvement. Compared to controls, the combined group reported an adjusted mean 2.05 point (95% CI 0.87-3.24) greater improvement on the ICIQ. Changes in knowledge and self-reported risk-reduction behaviours paralleled rates of improvement in all intervention arms. Conclusion: Continence education combined with evidence-based self-management improves symptoms of incontinence among untreated older women. Community organisations represent an untapped vector for delivering effective continence promotion interventions.

Time series data for the statistic Starting a business: Procedures required - Women (number) - Score and country Madagascar. Indicator Definition:The score for the number of procedures for women benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance.The indicator "Starting a business: Procedures required - Women (number) - Score" stands at 76.47 as of 12/31/2019. Regarding the One-Year-Change of the series, the current value is equal to the value the year prior.The 1 year change in percent is 0.0.The 3 year change in percent is 30.00.The 5 year change in percent is 44.44.The 10 year change in percent is 44.44.The Serie's long term average value is 51.90. It's latest available value, on 12/31/2019, is 47.33 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2003, to it's latest available value, on 12/31/2019, is +333.33%.The Serie's change in percent from it's maximum value, on 12/31/2017, to it's latest available value, on 12/31/2019, is 0.0%.