Around 6.8 million families had three or more children under 18 living in the household in 2023. In that same year, about 51.05 million households had no children under 18 living in the household.
Historical Employment Statistics 1990 - current. The Current Employment Statistics (CES) more information program provides the most current estimates of nonfarm employment, hours, and earnings data by industry (place of work) for the nation as a whole, all states, and most major metropolitan areas. The CES survey is a federal-state cooperative endeavor in which states develop state and sub-state data using concepts, definitions, and technical procedures prescribed by the Bureau of Labor Statistics (BLS). Estimates produced by the CES program include both full- and part-time jobs. Excluded are self-employment, as well as agricultural and domestic positions. In Connecticut, more than 4,000 employers are surveyed each month to determine the number of the jobs in the State. For more information please visit us at http://www1.ctdol.state.ct.us/lmi/ces/default.asp.
In 2023, the around 11.1 percent of the population was living below the national poverty line in the United States. Poverty in the United StatesAs shown in the statistic above, the poverty rate among all people living in the United States has shifted within the last 15 years. The United Nations Educational, Scientific and Cultural Organization (UNESCO) defines poverty as follows: “Absolute poverty measures poverty in relation to the amount of money necessary to meet basic needs such as food, clothing, and shelter. The concept of absolute poverty is not concerned with broader quality of life issues or with the overall level of inequality in society.” The poverty rate in the United States varies widely across different ethnic groups. American Indians and Alaska Natives are the ethnic group with the most people living in poverty in 2022, with about 25 percent of the population earning an income below the poverty line. In comparison to that, only 8.6 percent of the White (non-Hispanic) population and the Asian population were living below the poverty line in 2022. Children are one of the most poverty endangered population groups in the U.S. between 1990 and 2022. Child poverty peaked in 1993 with 22.7 percent of children living in poverty in that year in the United States. Between 2000 and 2010, the child poverty rate in the United States was increasing every year; however,this rate was down to 15 percent in 2022. The number of people living in poverty in the U.S. varies from state to state. Compared to California, where about 4.44 million people were living in poverty in 2022, the state of Minnesota had about 429,000 people living in poverty.
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Context
The dataset tabulates the New Haven population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for New Haven. The dataset can be utilized to understand the population distribution of New Haven by age. For example, using this dataset, we can identify the largest age group in New Haven.
Key observations
The largest age group in New Haven, MI was for the group of age 10 to 14 years years with a population of 844 (13.61%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in New Haven, MI was the 75 to 79 years years with a population of 14 (0.23%). 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:
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 New Haven Population by Age. You can refer the same here
This statistic shows the usage of sour cream in the United States from 2011 to 2020 and a forecast thereof until 2024. The data has been calculated by Statista based on the U.S. Census data and Simmons National Consumer Survey (NHCS). According to this statistic, 239.06 million Americans used sour cream in 2020. This figure is projected to increase to 240.92 million in 2024.
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Context
The dataset tabulates the Cash population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Cash. The dataset can be utilized to understand the population distribution of Cash by age. For example, using this dataset, we can identify the largest age group in Cash.
Key observations
The largest age group in Cash, AR was for the group of age 45-49 years with a population of 33 (11.38%), according to the 2021 American Community Survey. At the same time, the smallest age group in Cash, AR was the 70-74 years with a population of 1 (0.34%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Cash Population by Age. You can refer the same here
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Context
The dataset tabulates the Fowler population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Fowler. The dataset can be utilized to understand the population distribution of Fowler by age. For example, using this dataset, we can identify the largest age group in Fowler.
Key observations
The largest age group in Fowler, CO was for the group of age 65-69 years with a population of 153 (13.22%), according to the 2021 American Community Survey. At the same time, the smallest age group in Fowler, CO was the 80-84 years with a population of 22 (1.90%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Fowler Population by Age. You can refer the same here
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License information was derived automatically
Context
The dataset tabulates the Platte City population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Platte City. The dataset can be utilized to understand the population distribution of Platte City by age. For example, using this dataset, we can identify the largest age group in Platte City.
Key observations
The largest age group in Platte City, MO was for the group of age 40-44 years with a population of 536 (11.38%), according to the 2021 American Community Survey. At the same time, the smallest age group in Platte City, MO was the 80-84 years with a population of 0 (0.00%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Platte City Population by Age. You can refer the same here
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United States Employment: NF: sa: Mfg: Other Converted Paper Pdts data was reported at 65.400 Person th in May 2018. This records an increase from the previous number of 65.000 Person th for Apr 2018. United States Employment: NF: sa: Mfg: Other Converted Paper Pdts data is updated monthly, averaging 89.700 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 110.600 Person th in Mar 1990 and a record low of 62.300 Person th in Jun 2017. United States Employment: NF: sa: Mfg: Other Converted Paper Pdts data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G026: Current Employment Statistics Survey: Employment: Non Farm: sa.
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United States Employment: NF: sa: TW: Transit & Ground Passenger data was reported at 497.600 Person th in Jun 2018. This records an increase from the previous number of 493.300 Person th for May 2018. United States Employment: NF: sa: TW: Transit & Ground Passenger data is updated monthly, averaging 387.150 Person th from Jan 1990 (Median) to Jun 2018, with 342 observations. The data reached an all-time high of 501.000 Person th in Sep 2017 and a record low of 267.400 Person th in Apr 1990. United States Employment: NF: sa: TW: Transit & Ground Passenger data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G026: Current Employment Statistics Survey: Employment: Non Farm: sa.
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Graph and download economic data for All Employees, Federal, Except U.S. Postal Service (CES9091100001) from Jan 1939 to Feb 2025 about establishment survey, federal, government, services, employment, and USA.
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License information was derived automatically
Context
The dataset tabulates the Oak Grove population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Oak Grove. The dataset can be utilized to understand the population distribution of Oak Grove by age. For example, using this dataset, we can identify the largest age group in Oak Grove.
Key observations
The largest age group in Oak Grove, AL was for the group of age 60-64 years with a population of 146 (13.00%), according to the 2021 American Community Survey. At the same time, the smallest age group in Oak Grove, AL was the 85+ years with a population of 6 (0.53%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Oak Grove Population by Age. You can refer the same here
The statistic shows the success rate of various big data initiatives as of 2019, according to a survey of industry-leading firms, primarily in the United States. As of that time, 59.5 percent of respondents reported having seen measurable results from big data initiatives to decrease expenses.
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Employment: NF: sa: IF: WS: Web Search Portals & Others data was reported at 155.600 Person th in Jan 2025. This records an increase from the previous number of 154.600 Person th for Dec 2024. Employment: NF: sa: IF: WS: Web Search Portals & Others data is updated monthly, averaging 57.800 Person th from Jan 1990 (Median) to Jan 2025, with 421 observations. The data reached an all-time high of 162.700 Person th in Dec 2022 and a record low of 24.600 Person th in Jan 1990. Employment: NF: sa: IF: WS: Web Search Portals & Others data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G056: Current Employment Statistics Survey: Employment: Non Farm Payroll: sa.
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United States Diffusion Index: sa: Mfg: 3 Months Span data was reported at 67.100 Unit in Oct 2018. This records an increase from the previous number of 63.200 Unit for Sep 2018. United States Diffusion Index: sa: Mfg: 3 Months Span data is updated monthly, averaging 49.000 Unit from Jan 1991 (Median) to Oct 2018, with 334 observations. The data reached an all-time high of 82.200 Unit in Nov 1997 and a record low of 2.600 Unit in Mar 2009. United States Diffusion Index: sa: Mfg: 3 Months Span data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G041: Current Employment Statistics Survey: Diffusion Index.
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United States Imports: Customs: Asia Near East data was reported at 5.859 USD bn in Sep 2018. This records an increase from the previous number of 5.838 USD bn for Aug 2018. United States Imports: Customs: Asia Near East data is updated monthly, averaging 3.942 USD bn from Jan 1990 (Median) to Sep 2018, with 345 observations. The data reached an all-time high of 13.529 USD bn in Jul 2008 and a record low of 932.100 USD mn in Feb 1994. United States Imports: Customs: Asia Near East data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA009: Trade Statistics: Census Basis: By Region. Includes Bahrain, Iran, Iraq, Israel, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, Syrian Arab Republic, United Arab Emirates, and Yemen.
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Context
The dataset tabulates the population of Jefferson County by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Jefferson County across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of male population, with 51.46% of total population being male. 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.
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. No further analysis is done on the data reported from the Census Bureau.
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 Jefferson County Population by Race & Ethnicity. You can refer the same here
In a 2024 survey of small business leaders and IT professionals in the United States, 58 percent of respondents stated that employee data was their most compromised company data in cyberattacks. Additionally, 53 percent of respondents reported customer or consumer data as the second most impacted company data.
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United States Avg Weekly Earnings: OS: Dry Cleaning & Laundry ex Coin Operated data was reported at 528.540 USD in May 2018. This records a decrease from the previous number of 535.460 USD for Apr 2018. United States Avg Weekly Earnings: OS: Dry Cleaning & Laundry ex Coin Operated data is updated monthly, averaging 439.230 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 537.420 USD in Dec 2017 and a record low of 378.000 USD in Aug 2006. United States Avg Weekly Earnings: OS: Dry Cleaning & Laundry ex Coin Operated data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G032: Current Employment Statistics Survey: Average Weekly and Hourly Earnings.
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United States Unemployment Rate: Age 25 to 54 data was reported at 3.000 % in Oct 2018. This records an increase from the previous number of 2.900 % for Sep 2018. United States Unemployment Rate: Age 25 to 54 data is updated monthly, averaging 4.400 % from Jan 1948 (Median) to Oct 2018, with 850 observations. The data reached an all-time high of 9.700 % in Jan 1983 and a record low of 1.800 % in Aug 1953. United States Unemployment Rate: Age 25 to 54 data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G018: Current Population Survey: Unemployment Rate.
Around 6.8 million families had three or more children under 18 living in the household in 2023. In that same year, about 51.05 million households had no children under 18 living in the household.