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Tunisia TN: Fertility Rate: Total: Births per Woman data was reported at 2.201 Ratio in 2016. This records a decrease from the previous number of 2.223 Ratio for 2015. Tunisia TN: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 3.878 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 7.015 Ratio in 1964 and a record low of 1.991 Ratio in 2005. Tunisia TN: Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tunisia – Table TN.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.
Tabulated live birth counts and general fertility rates of Tennessee residents within the year 2019.
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Tunisia TN: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 7.640 Ratio in 2016. This records an increase from the previous number of 7.628 Ratio for 2015. Tunisia TN: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 22.367 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 67.104 Ratio in 1962 and a record low of 6.091 Ratio in 2002. Tunisia TN: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tunisia – Table TN.World Bank.WDI: Health Statistics. Adolescent fertility rate is the number of births per 1,000 women ages 15-19.; ; United Nations Population Division, World Population Prospects.; Weighted average;
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Context
The dataset tabulates the population of Tennessee by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Tennessee. The dataset can be utilized to understand the population distribution of Tennessee by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Tennessee. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Tennessee.
Key observations
Largest age group (population): Male # 0-4 years (13) | Female # 0-4 years (8). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Tennessee Population by Gender. You can refer the same here
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License information was derived automatically
Tunisia TN: Sex Ratio at Birth: Male Births per Female Births data was reported at 1.050 Ratio in 2017. This stayed constant from the previous number of 1.050 Ratio for 2016. Tunisia TN: Sex Ratio at Birth: Male Births per Female Births data is updated yearly, averaging 1.050 Ratio from Dec 1962 (Median) to 2017, with 21 observations. The data reached an all-time high of 1.050 Ratio in 2017 and a record low of 1.050 Ratio in 2017. Tunisia TN: Sex Ratio at Birth: Male Births per Female Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tunisia – Table TN.World Bank.WDI: Population and Urbanization Statistics. Sex ratio at birth refers to male births per female births. The data are 5 year averages.; ; United Nations Population Division. World Population Prospects: 2017 Revision.; Weighted average;
Published in 2024, this year’s report provides an analysis of data reported to TDH during 2022. During the 2022 surveillance period, 797 cases of NAS were reported to the TDH surveillance portal, which is a slight, yet insignificant, increase from the prior year (n=758). Tennessee’s NAS rate (9.8 per 1,000 live births) remains markedly higher than the national rate (6.3 per 1,000 live births; based on 2020 data, the most recent data available). In addition, rates of NAS remain highest in the eastern part of the state. Findings from this year’s report highlight the ongoing need for public health approaches to address substance use in pregnancy and substance exposure among infants. Public health approaches include promoting positive childhood experiences (PCEs), improving access to treatment for substance use disorders (including MOUD) for pregnant women, addressing health disparities in NAS, and connecting families to care coordination programs.
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Tunisia TN: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 12.300 Ratio in 2016. This records a decrease from the previous number of 12.800 Ratio for 2015. Tunisia TN: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 15.800 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 53.300 Ratio in 1990 and a record low of 12.300 Ratio in 2016. Tunisia TN: Mortality Rate: Under-5: Female: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tunisia – Table TN.World Bank: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
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Tunisia TN: Completeness of Birth Registration: Female data was reported at 99.500 % in 2012. Tunisia TN: Completeness of Birth Registration: Female data is updated yearly, averaging 99.500 % from Dec 2012 (Median) to 2012, with 1 observations. Tunisia TN: Completeness of Birth Registration: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tunisia – Table TN.World Bank.WDI: Population and Urbanization Statistics. Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.; ; UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.; ;
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Context
The dataset tabulates the population of Morrison by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Morrison. The dataset can be utilized to understand the population distribution of Morrison by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Morrison. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Morrison.
Key observations
Largest age group (population): Male # 0-4 years (67) | Female # 5-9 years (55). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Morrison Population by Gender. You can refer the same here
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Tunisia TN: Births Attended by Skilled Health Staff: % of Total data was reported at 73.600 % in 2012. This records a decrease from the previous number of 94.600 % for 2006. Tunisia TN: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 85.450 % from Dec 1988 (Median) to 2012, with 6 observations. The data reached an all-time high of 94.600 % in 2006 and a record low of 69.000 % in 1988. Tunisia TN: Births Attended by Skilled Health Staff: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tunisia – Table TN.World Bank.WDI: Health Statistics. Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average; Assistance by trained professionals during birth reduces the incidence of maternal deaths during childbirth. The share of births attended by skilled health staff is an indicator of a health system’s ability to provide adequate care for pregnant women.
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Context
The dataset tabulates the population of Tennessee Ridge by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Tennessee Ridge. The dataset can be utilized to understand the population distribution of Tennessee Ridge by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Tennessee Ridge. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Tennessee Ridge.
Key observations
Largest age group (population): Male # 40-44 years (99) | Female # 15-19 years (89). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Tennessee Ridge Population by Gender. You can refer the same here
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Context
The dataset tabulates the data for the Johnson County, TN population pyramid, which represents the Johnson County population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Johnson County Population by Age. You can refer the same here
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Context
The dataset tabulates the population of Manchester by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Manchester. The dataset can be utilized to understand the population distribution of Manchester by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Manchester. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Manchester.
Key observations
Largest age group (population): Male # 20-24 years (613) | Female # 5-9 years (520). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Manchester Population by Gender. You can refer the same here
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License information was derived automatically
Context
The dataset tabulates the population of Shelby County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Shelby County. The dataset can be utilized to understand the population distribution of Shelby County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Shelby County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Shelby County.
Key observations
Largest age group (population): Male # 10-14 years (34,054) | Female # 25-29 years (35,915). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Shelby County Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Obion by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Obion. The dataset can be utilized to understand the population distribution of Obion by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Obion. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Obion.
Key observations
Largest age group (population): Male # 5-9 years (64) | Female # 65-69 years (64). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Obion Population by Gender. You can refer the same here
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License information was derived automatically
Context
The dataset tabulates the population of Parker'S Crossroads by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Parker'S Crossroads. The dataset can be utilized to understand the population distribution of Parker'S Crossroads by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Parker'S Crossroads. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Parker'S Crossroads.
Key observations
Largest age group (population): Male # 35-39 years (66) | Female # 50-54 years (73). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Parker'S Crossroads Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Knoxville by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Knoxville. The dataset can be utilized to understand the population distribution of Knoxville by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Knoxville. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Knoxville.
Key observations
Largest age group (population): Male # 20-24 years (12,970) | Female # 20-24 years (12,685). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Knoxville Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Kingsport by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Kingsport. The dataset can be utilized to understand the population distribution of Kingsport by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Kingsport. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Kingsport.
Key observations
Largest age group (population): Male # 65-69 years (1,898) | Female # 70-74 years (2,369). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Kingsport Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Lake County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Lake County. The dataset can be utilized to understand the population distribution of Lake County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Lake County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Lake County.
Key observations
Largest age group (population): Male # 45-49 years (515) | Female # 55-59 years (223). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Lake County Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Millington by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Millington. The dataset can be utilized to understand the population distribution of Millington by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Millington. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Millington.
Key observations
Largest age group (population): Male # 55-59 years (696) | Female # 35-39 years (485). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Millington Population by Gender. You can refer the same here
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Tunisia TN: Fertility Rate: Total: Births per Woman data was reported at 2.201 Ratio in 2016. This records a decrease from the previous number of 2.223 Ratio for 2015. Tunisia TN: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 3.878 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 7.015 Ratio in 1964 and a record low of 1.991 Ratio in 2005. Tunisia TN: Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tunisia – Table TN.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.