Alaska had the highest male to female ratio in the United States in 2020, with ***** men for every 100 women. The male to female ratio was lowest in the District of Columbia, with **** men for every 100 women. The final frontier Alaska, which was purchased from the Russian Empire in 1867, is the largest state in the U.S. and one of the newest states, having been admitted to the U.S. in 1959. Although oil production dominates the economy, Alaska has a very high poverty rate and consistently has the highest unemployment rate in the country. It’s a man’s world Alaska is one of 10 states in the U.S. that has more men than women. The male to female ratio in the United States as a whole is about even, but as the population ages, there tend to be more females than males. Even though the sex ratio in the U.S. is almost one to one, a little more than ** percent of all females participated in the labor force in 2021, compared with **** percent of men.

In terms of population size, the sex ratio in the United States favors females, although the gender gap is remaining stable. In 2010, there were around 5.17 million more women, with the difference projected to decrease to around 3 million by 2027.

Gender ratios by U.S. state In the United States, the resident population was estimated to be around 331.89 million in 2021. The gender distribution of the nation has remained steady for several years, with women accounting for approximately 51.1 percent of the population since 2013. Females outnumbered males in the majority of states across the country in 2020, and there were eleven states where the gender ratio favored men.

Metro areas by population National differences between male and female populations can also be analyzed by metropolitan areas. In general, a metropolitan area is a region with a main city at its center and adjacent communities that are all connected by social and economic factors. The largest metro areas in the U.S. are New York, Los Angeles, and Chicago. In 2019, there were more women than men in all three of those areas, but Jackson, Missouri was the metro area with the highest share of female population.

Worldwide, the male population is slightly higher than the female population, although this varies by country. As of 2024, Hong Kong has the highest share of women worldwide with almost ** percent. Moldova followed behind with around ** percent. Among the countries with the largest share of women in the total population, several were former Soviet states or were located in Eastern Europe. By contrast, Qatar, the United Arab Emirates, and Oman had some of the highest proportions of men in their populations.

According to the 2021 Census, there were 30.4 million (51.0%) women and girls and 29.2 million (49.0%) men and boys in England and Wales.

With 109.9 men per one hundred women in the city, the greater Darwin area in Australia has the highest sex ratio. This is in stark contrast to the demographics of the other major cities in Australia which have more women than men. This is consistent with the fact that more than two thirds of all women between 25 and 64 participating in the workforce.Despite this fact, there is still some disparity between men and women in high level position as women are multiple times more likely to be sexually assaulted while men are much more likely to be victims of murder.The perpetrators of crimes are also much more likely to be men as there are

Worldwide, the male population is slightly higher than the female population. As of 2024, the country with the highest percentage of men was Qatar, with only slightly more than *********** of the total population being women. The United Arab Emirates followed with ** percent. Different factors can influence the gender distribution in a population, such as life expectancy, the sex ratio at birth, and immigration. For instance, in Qatar, the large share of males is due to the high immigration flows of male labor in the country.

In 2023, the gender ratio in different regions in China varied greatly, from around 113.2 men per 100 women in Hainan province to only 97.1 men per 100 women in Liaoning. In most provinces in China, there are living more men than women, leading to a national gender ratio of around 104.2 men to 100 women in 2023.

The gender or sex ratio in China has been a contentious issue since the introduction of the one-child policy in 1979, intended to limit the population of the country. Although the policy is no longer in place, the population gender difference throughout the country is still evident. In 2023, fifteen to nineteen-year-old children had the largest gender disparity of 115.3 males to every 100 females. Gender imbalance While the difference of gender at birth has been decreasing in the country over the past decade, China still boasts the world’s most skewed sex ratio at birth at around 110 males born for every 100 females as of 2023. That means there are about 31 million more men in the country than women. This imbalance likely came from the country’s traditional preference for male children to continue the family lineage, in combination with the population control policies enforced. Where does that leave the population? The surplus of young, single men across the country poses a risk for China in many different socio-economic areas. Some of the roll-on effects include males overrepresenting specific labor markets, savings rates increasing, consumption reducing and violent crime increasing across the country. However, the adult mortality rate in China, that is, the probability of a 15-year-old dying before reaching age 60, was significantly higher for men than for women. For the Chinese population over 60 years of age, the gender ratio is in favor of women, with more females outliving their male counterparts.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Langdon Place. The dataset can be utilized to gain insights into gender-based income distribution within the Langdon Place population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Langdon Place, among individuals aged 15 years and older with income, there were 319 men and 310 women in the workforce. Among them, 209 men were engaged in full-time, year-round employment, while 126 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 7.66% fell within the income range of under $24,999, while none of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 32.54% of men in full-time roles earned incomes exceeding $100,000, while 19.84% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Langdon Place median household income by race. You can refer the same here

In 2024, there were around 719 million male inhabitants and 689 million female inhabitants living in China, amounting to around 1.41 billion people in total. China's total population decreased for the first time in decades in 2022, and population decline is expected to accelerate in the upcoming years. Birth control in China From the beginning of the 1970s on, having many children was no longer encouraged in mainland China. The one-child policy was then introduced in 1979 to control the total size of the Chinese population. According to the one-child policy, a married couple was only allowed to have one child. With the time, modifications were added to the policy, for example parents living in rural areas were allowed to have a second child if the first was a daughter, and most ethnic minorities were excepted from the policy. Population ageing The birth control led to a decreasing birth rate in China and a more skewed gender ratio of new births due to boy preference. Since the negative economic and social effects of an aging population were more and more felt in China, the one-child policy was considered an obstacle for the country’s further economic development. Since 2014, the one-child policy has been gradually relaxed and fully eliminated at the end of 2015. However, many young Chinese people are not willing to have more children due to high costs of raising a child, especially in urban areas.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within College Place. The dataset can be utilized to gain insights into gender-based income distribution within the College Place population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within College Place, among individuals aged 15 years and older with income, there were 3,620 men and 3,636 women in the workforce. Among them, 1,457 men were engaged in full-time, year-round employment, while 875 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 2.06% fell within the income range of under $24,999, while 11.09% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 24.85% of men in full-time roles earned incomes exceeding $100,000, while 10.63% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for College Place median household income by race. You can refer the same here

In a survey conducted in 2019 by IPSOS respondents in Germany were asked about most important areas to achieve equality between men and women in the next 25 years. ** percent of the respondents stated that more progress should be made in terms of women having senior positions in business, compared with * percent who believed there is no need to achieve equality.

Abstract

The main objective of this survey is centered to provide comprehensive and representative statistics on violence in the Palestinian society, especially among the following groups: married or ever married women aged (15-64) years, married or who have been married men aged (18-64) years, male and female individuals aged (18-64) years who have never been married, children aged (12-17) years, and elderly persons aged 65 years and above.

Geographic coverage

Dissemination Domains

1.National level: State of Palestine. 2.Region level: (West Bank and Gaza Strip). 3.Locality type (urban, rural, camp).

Analysis unit

Member Households

Universe

The target population (groups) for Violence Survey in the Palestinian Society, 2019 are: 1.Currently married or ever married women aged (15-64 years). 2.Children (male and female) aged (1-11 years). 3.Currently married or ever married men aged (18-64 years). 4.Individuals (male and female) aged (18-64 years) who have never been married. 5.Children (male and female) aged (12-17 years). 6.Elderly persons aged (65 years and above).

Kind of data

Sample survey data [ssd]

Sampling procedure

The target population (groups) for Violence Survey in the Palestinian Society, 2019 are: 1.Currently married or ever married women aged (15-64 years). 2.Children (male and female) aged (1-11 years). 3.Currently married or ever married men aged (18-64 years). 4.Individuals (male and female) aged (18-64 years) who have never been married. 5.Children (male and female) aged (12-17 years). 6.Elderly persons aged (65 years and above).

Sampling and Frame Three-stage stratified cluster systematic random sample of households residing in Palestine.

Sampling Framework The sampling frame consists of the list of enumeration areas of the Population, Housing and Establishments Census, 2017. They are geographical areas of similar size for the most part (with an average of about 150 households), and these enumeration areas are used as primary sampling units (PSUs) in the first sampling selection stage.

Sample Size 12,942 households were reached at the national level; of which 11,545 households responded, 7,913 households in the West Bank and 3,632 households in Gaza Strip.

Sample Design Three-stage stratified cluster systematic random sample: Stage I: Selection of a stratified cluster systematic random sample proportional to the size of each household enumeration area (PPS), consisting of (310) enumeration areas.

Stage II: Selection (40) households from each enumeration area in the first stage in a stratified cluster systematic random. (Lists of the heads of households) Stage III: Selection of one individual of the selected household in the second stage if it has more than one individual from each of the targeted groups in the survey, using Kish (multivariate) table to ensure randomness in the selection process.

In Jerusalem (J1) area, a survey sample of 40 households is selected from each enumeration area in the first stage.

Sample Strata The population was divided into the following strata: 1.Governorate (16 Governorates in the West Bank including those parts of Jerusalem, which were annexed by Israeli occupation in 1967 (J1) as a separated stratum, and Gaza Strip). 2.Locality type (urban, rural, camp).

Mode of data collection

Face-to-face [f2f]

Research instrument

International recommendations and standards in the area of violence statistics were viewed during the first stages of developing the questionnaire. The experiences of other countries in conducting such surveys were also reviewed while taking into consideration special Palestinian specificities while applying this survey. The questionnaire was designed with reliance on PCBS second experience in conducting a violence survey during 2011.

The questionnaire for the Violence Survey, 2019 was developed in cooperation with our partners in the National Advisory Committee for the Violence Survey and with the help of several experts. Many observations provided by experienced persons were applied reflecting a purely Palestinian experience. The importance of the survey was also stemmed from the urgent need of the local community for the indicators it provides.

The questionnaire consists of eight main sections as follows: · Identification data and Quality Control: It was asked to any member of a household aged 18 years or more. This section covered all household members in the sample without exception. · Housing Conditions: It was asked to any member of the household aged 18 years or more to identify the conditions of the household's, financial conditions, income, financial needs, and spending capabilities. · Currently married or ever married women aged (14-64 years): This section was asked to any woman who is currently married (at the time of the interview) or has been married in the past by selecting one woman from the household (should there be several women) by using the Kish Selection Method. If there was more than one disabled woman in the households, women with disability have completed separate questionnaires and were registered separately. · Currently married or ever married men aged (18-64 years): This section was asked to any man who is currently married (at the time of the interview) or has been married in the past by selecting one man from the households (should there be several men) by using the Kish Selection Method. If there was more than one man with a disability in the households belonging to this group, men with disability have completed separate questionnaires and were registered separately. · Individuals aged (18-64 years) who have never been married: This section targets any individual who had never been married, male or female, by selecting him or her from the households. If there was more than one individual belonging to this group, the Kish Selection Method was used to select the sample as in the above-mentioned method. If there was more than one individual (male or female) with a disability, each has completed a separate questionnaire, and they were all registered. · Children aged (0-11 years): A male or female child was selected from households. Questions concerning this age group were answered by women who are currently married or have been married in the past and who are the mothers or caregivers of those children. This section included children with disability. · Children aged (12-17 years): This section targets children directly whether they were males or females. If there was more than one child of this age group in the households, the Kish Selection Method was used to select a child by using the same above-mentioned methodology to select the sample. If there was more than one child with a disability (whether male or female), each was provided with a separate questionnaire and they were all registered. · Elderly persons aged (65 years and above): This section was assigned especially to the elderly, whether males or females. If there was more than one elderly person in the households aged (65 years and above), all of them were interviewed.

Cleaning operations

Data Cleaning 1. Concurrently with the data collection process, a weekly check of the data entered was carried out centrally and returned to the field for modification during the data collection phase and follow-up. The work was carried out at a thoroughly examination of the questions and variables to ensure that all required items are included, and the check of shifts, stops, and the range was done, too. 2. Data processing was conducted after the fieldwork stage, where it was limited to conducting the final inspection and cleaning of the survey databases. Data cleaning and editing stage focused on: · Editing skips and values allowed. · Checking the consistency between different the questions of questionnaire based on logical relationships. · Checking on the basis of relations between certain questions so that a list of non-identical cases was extracted, and reviewed toward identifying the source of the error case by case, where such errors were immediately modified and corrected based on the source of the error after confirming and returning to the field in cases where it is needed. 3. The SPSS program was used to extract and modify errors and discrepancies, and to prepare clean and accurate data ready for scheduling and publishing.

Response rate

12,942 representative households were reached. The number of responded households (11,545) including (7,913) in the West Bank and (3,632) in Gaza Strip. Weights were adjusted with the design strata to compensate for the rate of refusal and non-response.

Responses and Non-Responses Cases Number of Cases Completed households 11,530
Partially completed 15
Households traveling 118 Refused 354 No information was available 72
Uninhabited residence unit 392 The Residence unit does not exist 23
No one at the residence 424 Other 14
Total (total size of sample) 12,942

Total cases of Non-responses x%100 = 7.8%

Non-Response Rate - %100 = 92.2%

Sampling error estimates

Sampling Errors Data of this survey were affected by sampling errors, which resulted from a partial (sample) study of the society as opposed to all units of the society. Whereas the Violence Survey in the Palestinian Society, 2019 was conducted on a sample, sampling errors were inevitable. To reduce sampling errors, a probability sample suitably designed to calculate errors had to be used continuously. This implied that each unit in society had an opportunity to be selected in the sample. Variance and the effect of the

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Meadows Place. The dataset can be utilized to gain insights into gender-based income distribution within the Meadows Place population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Meadows Place, among individuals aged 15 years and older with income, there were 1,827 men and 1,850 women in the workforce. Among them, 1,001 men were engaged in full-time, year-round employment, while 707 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 11.49% fell within the income range of under $24,999, while 7.21% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 27.27% of men in full-time roles earned incomes exceeding $100,000, while 6.36% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Meadows Place median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within West University Place. The dataset can be utilized to gain insights into gender-based income distribution within the West University Place population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within West University Place, among individuals aged 15 years and older with income, there were 4,926 men and 4,475 women in the workforce. Among them, 3,292 men were engaged in full-time, year-round employment, while 1,750 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 1.12% fell within the income range of under $24,999, while 3.77% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 84.48% of men in full-time roles earned incomes exceeding $100,000, while 58.46% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

https://i.neilsberg.com/ch/west-university-place-tx-income-distribution-by-gender-and-employment-type.jpeg" alt="West University Place, TX gender and employment-based income distribution analysis (Ages 15+)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for West University Place median household income by gender. You can refer the same here

Moldova's first Demographic and Health Survey (2005 MDHS) is a nationally representative sample survey of 7,440 women age 15-49 and 2,508 men age 15-59 selected from 400 sample points (clusters) throughout Moldova (excluding the Transnistria region). It is designed to provide data to monitor the population and health situation in Moldova; it includes several indicators which follow up on those from the 1997 Moldova Reproductive Health Survey (1997 MRHS) and the 2000 Multiple Indicator Cluster Survey (2000 MICS). The 2005 MDHS used a two-stage sample based on the 2004 Population and Housing Census and was designed to produce separate estimates for key indicators for each of the major regions in Moldova, including the North, Center, and South regions and Chisinau Municipality. Unlike the 1997 MRHS and the 2000 MICS surveys, the 2005 MDHS did not cover the region of Transnistria. Data collection took place over a two-month period, from June 13 to August 18, 2005. The survey obtained detailed information on fertility levels, abortion levels, marriage, sexual activity, fertility preferences, awareness and use of family planning methods, breastfeeding practices, nutritional status of women and young children, childhood mortality, maternal and child health, adult health, and awareness and behavior regarding HIV infection and other sexually transmitted diseases. Hemoglobin testing was conducted on women and children to detect the presence of anemia. Additional features of the 2005 MDHS include the collection of information on international emigration, language preference for reading printed media, and domestic violence. The 2005 MDHS was carried out by the National Scientific and Applied Center for Preventive Medicine, hereafter called the National Center for Preventive Medicine (NCPM), of the Ministry of Health and Social Protection. ORC Macro provided technical assistance for the MDHS through the USAID-funded MEASURE DHS project. Local costs of the survey were also supported by USAID, with additional funds from the United Nations Children's Fund (UNICEF), the United Nations Population Fund (UNFPA), and in-kind contributions from the NCPM. MAIN RESULTS CHARACTERISTICS OF RESPONDENTS Ethnicity and Religion. Most women and men in Moldova are of Moldovan ethnicity (77 percent and 76 percent, respectively), followed by Ukrainian (8-9 percent of women and men), Russian (6 percent of women and men), and Gagauzan (4-5 percent of women and men). Romanian and Bulgarian ethnicities account for 2 to 3 percent of women and men. The overwhelming majority of Moldovans, about 95 percent, report Orthodox Christianity as their religion. Residence and Age. The majority of respondents, about 58 percent, live in rural areas. For both sexes, there are proportionally more respondents in age groups 15-19 and 45-49 (and also 45-54 for men), whereas the proportion of respondents in age groups 25-44 is relatively lower. This U-shaped age distribution reflects the aging baby boom cohort following World War II (the youngest of the baby boomers are now in their mid-40s), and their children who are now mostly in their teens and 20s. The smaller proportion of men and women in the middle age groups reflects the smaller cohorts following the baby boom generation and those preceding the generation of baby boomers' children. To some degree, it also reflects the disproportionately higher emigration of the working-age population. Education. Women and men in Moldova are universally well educated, with virtually 100 percent having at least some secondary or higher education; 79 percent of women and 83 percent of men have only a secondary or secondary special education, and the remainder pursues a higher education. More women (21 percent) than men (16 percent) pursue higher education. Language Preference. Among women, preferences for language of reading material are about equal for Moldovan (37 percent) and Russian (35 percent) languages. Among men, preference for Russian (39 percent) is higher than for Moldovan (25 percent). A substantial percentage of women and men prefer Moldovan and Russian equally (27 percent of women and 32 percent of men). Living Conditions. Access to electricity is almost universal for households in Moldova. Ninety percent of the population has access to safe drinking water, with 86 percent in rural areas and 96 percent in urban areas. Seventy-seven percent of households in Moldova have adequate means of sanitary disposal, with 91 percent of households in urban areas and only 67 percent in rural areas. Children's Living Arrangements. Compared with other countries in the region, Moldova has the highest proportion of children who do not live with their mother and/or father. Only about two-thirds (69 percent) of children under age 15 live with both parents. Fifteen percent live with just their mother although their father is alive, 5 percent live with just their father although their mother is alive, and 7 percent live with neither parent although they are both alive. Compared with living arrangements of children in 2000, the situation appears to have worsened. FERTILITY Fertility Levels and Trends. The total fertility rate (TFR) in Moldova is 1.7 births. This means that, on average, a woman in Moldova will give birth to 1.7 children by the end of her reproductive period. Overall, fertility rates have declined since independence in 1991. However, data indicate that fertility rates may have increased in recent years. For example, women of childbearing age have given birth to, on average, 1.4 children at the end of their childbearing years. This is slightly less than the total fertility rate (1.7), with the difference indicating that fertility in the past three years is slightly higher than the accumulation of births over the past 30 years. Fertility Differentials. The TFR for rural areas (1.8 births) is higher than that for urban areas (1.5 births). Results show that this urban-rural difference in childbearing rates can be attributed almost exclusively to younger age groups. CONTRACEPTION Knowledge of Contraception. Knowledge of family planning is nearly universal, with 99 percent of all women age 15-49 knowing at least one modern method of family planning. Among all women, the male condom, IUD, pills, and withdrawal are the most widely known methods of family planning, with over 80 percent of all women saying they have heard of these methods. Female sterilization is known by two-thirds of women, while periodic abstinence (rhythm method) is recognized by almost six in ten women. Just over half of women have heard of the lactational amenorrhea method (LAM), while 40-50 percent of all women have heard of injectables, male sterilization, and foam/jelly. The least widely known methods are emergency contraception, diaphragm, and implants. Use of Contraception. Sixty-eight percent of currently married women are using a family planning method to delay or stop childbearing. Most are using a modern method (44 percent of married women), while 24 percent use a traditional method of contraception. The IUD is the most widely used of the modern methods, being used by 25 percent of married women. The next most widely used method is withdrawal, used by 20 percent of married women. Male condoms are used by about 7 percent of women, especially younger women. Five percent of married women have been sterilized and 4 percent each are using the pill and periodic abstinence (rhythm method). The results show that Moldovan women are adopting family planning at lower parities (i.e., when they have fewer children) than in the past. Among younger women (age 20-24), almost half (49 percent) used contraception before having any children, compared with only 12 percent of women age 45-49. MATERNAL HEALTH Antenatal Care and Delivery Care. Among women with a birth in the five years preceding the survey, almost all reported seeing a health professional at least once for antenatal care during their last pregnancy; nine in ten reported 4 or more antenatal care visits. Seven in ten women had their first antenatal care visit in the first trimester. In addition, virtually all births were delivered by a health professional, in a health facility. Results also show that the vast majority of women have timely checkups after delivering; 89 percent of all women received a medical checkup within two days of the birth, and another 6 percent within six weeks. CHILD HEALTH Childhood Mortality. The infant mortality rate for the 5-year period preceding the survey is 13 deaths per 1,000 live births, meaning that about 1 in 76 infants dies before the first birthday. The under-five mortality rate is almost the same with 14 deaths per 1,000 births. The near parity of these rates indicates that most all early childhood deaths take place during the first year of life. Comparison with official estimates of IMRs suggests that this rate has been improving over the past decade. NUTRITION Breastfeeding Practices. Breastfeeding is nearly universal in Moldova: 97 percent of children are breastfed. However the duration of breast-feeding is not long, exclusive breastfeeding is not widely practiced, and bottle-feeding is not uncommon. In terms of the duration of breastfeeding, data show that by age 12-15 months, well over half of children (59 percent) are no longer being breastfed. By age 20-23 months, almost all children have been weaned. Exclusive breastfeeding is not widely practiced and supplementary feeding begins early: 57 percent of breastfed children less than 4 months are exclusively breastfed, and 46 percent under six months are exclusively breastfeed. The remaining breastfed children also consume plain water, water-based liquids or juice, other milk in addition to breast milk, and complimentary foods. Bottle-feeding is fairly widespread in Moldova; almost one-third (29 percent) of infants under 4 months old are fed with a bottle with

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Windsor Place. The dataset can be utilized to gain insights into gender-based income distribution within the Windsor Place population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Windsor Place, among individuals aged 15 years and older with income, there were 112 men and 173 women in the workforce. Among them, 75 men were engaged in full-time, year-round employment, while 115 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 1.33% fell within the income range of under $24,999, while 4.35% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 2.67% of men in full-time roles earned incomes exceeding $100,000, while 4.35% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Windsor Place median household income by race. You can refer the same here

The prevalence of alcohol consumption above certain specified levels (“sensible” limits) based on people’s estimates of amounts drank on a “usual” occasion recorded in terms of five different types of drink and then converted into units of alcohol: The prevalence of alcohol consumption based on results from the General Lifestyle Survey including: Proportion of men who drank more than 4 units of alcohol on at least one day the previous week and women who drank more than 3 units; Proportion of men who drank more than 8 units of alcohol on at least one day the previous week and women who drank more than 6 units. To help reduce the prevalence of excessive alcohol consumption and the health risks associated with single episodes of intoxication.The damage caused by alcohol misuse to individuals and society has become an increasing focus of public concern in recent years. Drinking alcohol has been linked to increased risks of hypertension, stroke, coronary heart disease, liver cirrhosis and some cancers. This indicator has been discontinued and so there will be no further updates. Legacy unique identifier: P00855

There is a great diversity of mating systems in anurans, but the factors driving this diversity remain uncharted. Here, using phylogenetic comparative methods, we explore which factors are related to the presence of mating systems in anurans and examine evolutionary patterns. We collected data for 717 anuran species and evaluated the effects of climate, temporal breeding pattern, sex ratios, terrestriality, and fecundity on their mating systems. Scramble competition and simultaneous polyandry occur more in species with aquatic eggs and oviposition sites, which have larger clutches, in habitats with high temperature seasonality, and low annual temperature/precipitation. Direct benefits occur often in species with terrestrial larger eggs and smaller clutches, which have terrestrial or sheltered oviposition sites, and in habitats with lower temperature seasonality. Only lek and polygyny were correlated with sex ratios. Most mating systems are strongly influenced by shared evolutionary history and are linked to the evolution of reproductive modes. Climate and sex ratios seem to play a role in the plasticity of mating systems, as a species can have more than one. Finally, our study represents a considerable advance toward understanding the anuran mating system evolution. Methods We conducted a systematic review of anuran mating systems and reproductive behavior through literature searches in Web of Science (WoS), Scopus, and Scielo, spanning all years on record (Appendix1: Figure S1). The first search was performed on 29 March 2020, using the following keywords (Appendix1: Figure S1a): (("Female choice" OR "Female preference" OR "Male attendance" OR "Endurance rivalry" OR "Chorus attendance" OR "Polyandry" OR "lek" OR "resource defense" OR "mating system" OR "scramble competition" OR "breeding ecology" OR "breeding activity" OR "breeding behavior" OR "Reproductive biology" OR " courtship behavior" OR "Sexual selection") AND (Anura* OR frog OR toad)). In addition to mating systems, we collected information related to aggressive behavior, territorial defense, satellite behavior, male endurance rivalry, and parental care. To compile more specific behaviors, we conducted three additional searches in WoS on 23 August 2021, with the following keywords (Appendix1: Figure S1b): (i) (("male") AND ("nest" OR "constructed basins" OR "chamber*") AND ("frog*" OR "anuran*" OR "treefrog")); (ii) (("mating ball" OR "multiple amplexus" OR "multiple mating" OR "multiple-male mating" OR "multiple spawning" OR "group spawning") AND ("frog*" OR "anuran*" OR "treefrog")); and (iii) (("satellite" OR "fight*" OR "territorial defense") AND ("frog*" OR "anuran*" OR "treefrog")). Also, we expanded our literature review by searching for complementary information from other sources (e.g. books, thesis, reports, etc.; Appendix1: Figure S1c). For particular species missing in our database (species that had vague information about the mating system), we finally conducted a series of specific searches in Google Scholar using the species name along with the following keywords: “mating system” OR “reproductive biology” OR “reproduction” (Appendix1: Figure S1c). All these searches resulted in a total of 2801 identified records (Appendix1: Figure S1). We screened the abstract, title, and keywords of each identified article and selected 525 for subsequent full-text assessment. According to the relevance of the information reported, we finally retained 440 articles that were used to retrieve data and compose our final database. We conducted a systematic review of OSR using complementary literature searches in Web of Science (WoS), Scopus, and Scielo, spanning all years on record. The search was performed on 21 September 2020, with the following keywords: ("Sex ratio" OR "OSR" OR "Operational Sex Ratio") AND (Anura* OR frog* OR toad*). We followed previous studies (Elmberg 1990) by including articles that calculated the sex ratio during the breeding season, assuming that both females and males were sexually active within the period. We found 694 papers, but only 94 reported OSR or sex ratio during the breeding season. In this systematic review, we also included books and articles found in additional sources (n=24). We standardized OSR as the percentage of sexually active males of the breeding population: Number of sexually active males / Number of sexually active males and females. This calculation is the most suitable ratio, ranging from 0 to 1 (Kvarnemo and Ahnesjö 1996). Finally, we calculated a species-level average if the species had multiple OSR data. To obtain additional information about the mating systems and reproductive behavior of particular anuran species and develop a consistent global database, minimizing missing values, we conducted a survey among international experts (N=32) in specific taxa and regions, with proven experience in the natural history of anurans. An online form composed of six closed-ended questions was shared with the researchers who provided answers for a range of 1-50 species (mean ± SD = 7.46 ± 14.04) based on their knowledge and experience. The form was specifically designed to provide an easy and interpretable link between the expert answers and each category of the studied variables, using a decision tree . Thereby, we obtained information for 219 species through the expert survey, totaling 798 species in our database. We were able to fill gaps for the species already present in our database (18.80 %, n=150) as well as adding new species (8.5%, n=68). For this study, species’ mating systems were categorized into: (i) General mating system, with three general categories (promiscuity [PGA], exclusive polyandry [PA], or polygyny [PG]; Table 1), and (ii) Specific mating system, with five specific categories (simultaneous polyandry [PASI], sequential polyandry [PASE], lek, scramble competition [SC], and direct benefits [DB]; table 1). For this study, we used social mating systems, the social and behavioral associations between males and females (Zuk and Simmons 2018). Promiscuous mating systems are those in which males and females mate with more than one partner, whereas polyandrous mating systems are those in which females mate with more than one male (Mobley 2014) and take place in the form of (i) simultaneous polyandry (concurrent mating with several males and presence of sperm competition; Roberts and Byrne 2011) or (ii) sequential polyandry (non-simultaneous mating with several males throughout the breeding season; Byrne and Roberts 2012). Polygynous mating systems are those in which males mate with more than one female and take place in anurans in the form of (i) lek (when males gather in an exhibition arena and are chosen by the female, so that males do not offer any type of resources or parental care; Bradbury and Gibson 1993), (ii) scramble competition (when males actively search for females; Wells 2007) and (iii) direct benefits system, which encompasses the resource defense system itself (when males defend territories and/or resources essential for reproduction; Wells 2007), but also those cases in which there is paternal care and other male behaviors that benefit the offspring/female, such as nest building. Paternal care was used as a proxy for direct benefits. As we found only two monogamous anuran species (both males and females have only one partner throughout the reproductive season; Emlen and Oring 1977), we excluded them from the analysis. We also excluded the species Limnonectes palavanensis, as it presents a reverse sexual mating system (Goyes Vallejos et al. 2017; Vallejos et al. 2018), incompatible with the explored categories. As explanatory variables, we also extracted information related to fecundity (clutch size maximum, offspring size maximum, and female size) and temporal breeding patterns from several sources, including the articles retained in the literature searches. Most of the fecundity data were obtained from published databases (Han and Fu 2013; Nali et al. 2014; Oliveira et al. 2017; Vági et al. 2019a; Pincheira-Donoso et al. 2021; Furness et al. 2022) and selected the highest value for fecundity variables with multiple values. Adult Sex Ratio (ASR) was extracted from the Vági et al. (Vági et al. 2020) database, and the reproductive pattern was defined based on the original publications and published databases (Nali et al. 2014; Trochet et al. 2014). Regarding terrestriality data, we collected the following information: general reproductive mode (aquatic egg or terrestrial egg) and oviposition site (aquatic, terrestrial, arboreal, or sheltered). General reproductive mode data were obtained from published databases (Gomez-Mestre et al. 2012; Vági et al. 2019b; Nunes-De-almeida et al. 2021). The definition of aquatic and terrestrial eggs followed from the studies differed only in the cases of eggs deposited in foam nests in the aquatic environment. We use the definition that considers them terrestrial (Vági et al. 2019a). When there was a conflict of information between studies, we excluded the data. The oviposition site was treated as a categorical variable (aquatic, terrestrial, arboreal, and sheltered). Data were obtained from previously published databases (Silva et al. 2020; Nunes-De-almeida et al. 2021; Pincheira-Donoso et al. 2021; Furness et al. 2022). We followed the definition of the categories according to Silva et al., (Silva et al. 2020), and species that contained conflicting records between the databases were excluded. We also determined the climate conditions across the geographic range of each studied species. Based on occurrence data of the species in our dataset, available at the International Union for Conservation of Nature (IUCN, IUCN 2023) and other sources (Batista et al. 2013; Souza et al. 2019), and overlaid on a world grid with 1º of resolution (latitude and longitude) to obtain the presence and absence matrix of species. We

As of July 1, 2022, there were approximately 13.87 million males and 14.13 million females living in metropolitan areas across Canada. This statistic breaks down this figure by metropolitan area. Toronto was the most populated city in the country, counting over 3.2 million males and 3.4 million females.