About this dataset

Context

The dataset tabulates the Colonie town 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 Colonie town. The dataset can be utilized to understand the population distribution of Colonie town by age. For example, using this dataset, we can identify the largest age group in Colonie town.

Key observations

The largest age group in Colonie Town, New York was for the group of age 15 to 19 years years with a population of 6,574 (7.70%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Colonie Town, New York was the 85 years and over years with a population of 2,031 (2.38%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Colonie town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Colonie town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Colonie town Population by Age. You can refer the same here

Note: April 22, 2025: Updates to "CHN by income and HH size_v3". --------------------------------------------------------------------------------------------------------------------------------- Note: April 16, 2025: Updates to the following files have been made on April 9th and 16th: "CHN by income and HH size_v2", "cd_hh_projections_v2", "csd_hh_projections_v2", and "CMAs_all data_v3". --------------------------------------------------------------------------------------------------------------------------------- Note: March 31, 2025 files "Data_Element_1a" & "...1b" updated to v3 to include additional geographies (CDs and PTs) in the calculation of households close to rail transit. --------------------------------------------------------------------------------------------------------------------------------- Note: This dataset as of March 31st, 2025 now contains data on all 12 data elements, including core housing need among "gender diverse" households (formerly called "2SLGBTQ+" households) in table "Data_Element_ 3". That table (i.e. Data_Element_3) now also includes core housing need data on those priority populations reported in HART's HNA Tool. Two other outputs were migrated from that HNA Tool into this Federal HNA Template dataset: Income Categories and Affordable Shelter Costs, Percentage of Households in Core Housing Need by Income Category and Household Size, and 2021 Affordable Housing Deficit. (HICC Section 3.6), and Projected Households by Household Size and Income Category (HICC Section 6.1.1) This Borealis dataset has been updated accordingly to include that data: "AMHI.csv" (2021 AMHI and dollar ranges of income and shelter cost categories) "cd_hh_projections.csv" (Projected households in 2031 for CDs) "csd_hh_projections.csv" (Projected households in 2031 for CSDs) "CHN by income and HH size.csv" (2021 core housing need by income and household size) The geographical scope of the dataset has also been expanded. Before March 31st, only CSDs were included. As of March 31st, data on CDs, provinces/territories, the country of Canada, and CMA/CAs has been added. Not all data is available for all geographies: Data from CMHC's Rental Market Survey and Starts and Completions Survey are reported at the CSD level within CMAs/CAs. Results for provinces/territories/Canada are reported, but data for CDs is not. Since these surveys may not include all CSDs within a given CD, we have not attempted to aggregate this CSD data into CDs. Data from any custom census order by HART does not include CMA/CAs. We are able to aggregate the data by CSD into CMA/CAs, but all income and shelter cost data had been categorized based on the AMHI of the CSD as part of the original order (i.e. whether a household is "Very Low" income or "Low" income depends on the median household income of the CSD that the household lives in). This will lead to some inaccuracy and ambiguity of interpretation for the income or shelter cost data reported for CMAs. Data on "gender diverse" households is only available from Statistics Canada for geographies with a population count greater than 50,000 as of the 2021 census. This represents a total of 239 geographies (incl. Canada and the provinces/territories). Due to the low number of CSDs with this data, we have not attempted to aggregated this to the CMA/CA level. Data for CMAs/CAs will be added to the tool by mid-April 2025, but the source data has been summarized and included in this dataset: "CMAs_all data.csv" (All available data for CMAs and CAs) --------------------------------------------------------------------------------------------------------------------------------- Update (March 14, 2025): Tables "Data_Element_1a" and "...1b" have been updated to exclude some non-rail rapid transit stops that were erroneous included, notably in Winnipeg. --------------------------------------------------------------------------------------------------------------------------------- For more information, please visit HART.ubc.ca. Housing Assessment Resource Tools (HART) This database was created to accompany the dashboard on HART's website called the "Federal Housing Needs Assessment Template." URL: https://hart.ubc.ca/federal-hna-template/. This dashboard presents housing-related data to help communities complete the Housing Needs Assessment template requested by the Government of Canada as a requirement for certain funding applications. For more information on that template, please visit the Government of Canada's website (https://housing-infrastructure.canada.ca/housing-logement/hna-ebml/template-modele-eng.html). This dataset represents the underlying data used to populate HART's dashboard. The data contains some public and custom data from Canada's Census of Population (author: Statistics Canada), public data from the Canada Mortgage and Housing Corporation (CMHC) regarding it's Rental Market Survey as well as it's Starts and Completions Survey, private...

About this dataset

Context

The dataset tabulates the population of Rosenberg by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Rosenberg. The dataset can be utilized to understand the population distribution of Rosenberg by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Rosenberg. 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 Rosenberg.

Key observations

Largest age group (population): Male # 25-29 years (1,662) | Female # 25-29 years (2,031). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

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

• Age Group: This column displays the age group for the Rosenberg population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Rosenberg is shown in the following column.
• Population (Female): The female population in the Rosenberg is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Rosenberg for each age group.

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 Rosenberg Population by Gender. You can refer the same here

There are 3 datasets within this publication showing key aspects of Ethnic Minority Populations in Lincolnshire: Ethnic Groups, Proficiency in English, and Religion. The datasets show 2021 Census estimates of the total resident population with breakouts for these three population categories. These Census 2021 datasets are sourced from the Office for National Statistics (ONS) Nomis website - see the Source link below. Data is shown for Lincolnshire and Districts, and for 2021 Lower Super Output Areas (LSOA). Different geographies and more detailed breakouts of these and other useful datasets, are available at the Source link. The data is updated every 10 years with the next update due from the Census 2031.

Japan IPSS: MM: HBR: DR: Age 0-14 data was reported at 22.000 % in 2070. This records an increase from the previous number of 21.900 % for 2069. Japan IPSS: MM: HBR: DR: Age 0-14 data is updated yearly, averaging 21.400 % from Dec 2020 (Median) to 2070, with 51 observations. The data reached an all-time high of 22.300 % in 2048 and a record low of 18.900 % in 2031. Japan IPSS: MM: HBR: DR: Age 0-14 data remains active status in CEIC and is reported by National Institute of Population and Social Security Research. The data is categorized under Global Database’s Japan – Table JP.G005: 2023 Population Estimates: 2020 Census: National Institute of Population and Social Security Research.

Transport for NSW provides projections of population and dwellings at the small area (Travel Zone or TZ) level for NSW. The latest version is Travel Zone Projections 2024 (TZP24), released in January 2025.\r \r TZP24 replaces the previously published TZP22.\r \r The projections are developed to support a strategic view of NSW and are aligned with the NSW Government Common Planning Assumptions .\r \r The TZP24 Population & Dwellings Projections dataset covers the following variables:\r \r * Estimated Resident Population\r \r * Structural Private Dwellings (Regional NSW only)\r \r * Population in Occupied Private Dwellings, by 5-year Age categories & by Sex\r \r * Population in Non-Private Dwellings\r \r The projections in this release, TZP24, are presented annually from 2021 to 2031 and 5-yearly from 2031 to 2066, and are in TZ21 geography.\r \r Please note, TZP24 is based on best available data as at early 2024, and the projections incorporate results of the National Census conducted by the ABS in August 2021.\r \r Key Data Inputs used in TZP24:\r \r * 2024 NSW Population Projections – NSW Department of Planning, Housing & Infrastructure\r \r * 2021 Census data - Australian Bureau of Statistics (including dwellings by occupancy, total dwellings by Mesh Block, household sizes, private dwellings by occupancy, population age and gender, persons by place of usual residence)\r \r For a summary of the TZP24 projection method please refer to the TZP24 Factsheet .\r \r For more detail on the projection process please refer to the TZP24 Technical Guide . \r \r Additional land use information for workforce and employment as well as Travel Zone 2021 boundaries for NSW (TZ21) and concordance files are also available for download on the Open Data Hub.\r \r Visualisations of the population projections are available on the Transport for NSW Website under Data and research/Reference Information .\r \r Cautions\r \r The TZP24 dataset represents one view of the future aligned with the NSW Government Common Planning Assumptions and population and employment projections.\r \r The projections are not based on specific assumptions about future new transport infrastructure but do take into account known land-use developments underway or planned, and strategic plans.\r \r *\tTZP24 is a strategic state-wide dataset and caution should be exercised when considering results at detailed breakdowns.\r \r *\tThe TZP24 outputs represent a point in time set of projections (as at early 2024).\r \r *\tThe projections are not government targets.\r \r *\tTravel Zone (TZ) level outputs are projections only and should be used as a guide. As with all small area data, aggregating of travel zone projections to higher geographies leads to more robust results.\r \r *\tAs a general rule, TZ-level projections are illustrative of a possible future only.\r \r *\tMore specific advice about data reliability for the specific variables projected is provided in the “Read Me” page of the Excel format summary spreadsheets on the TfNSW Open Data Hub.\r \r *\tCaution is advised when comparing TZP24 with the previous set of projections (TZP22) due to addition of new data sources for the most recent years, and adjustments to methodology.\r \r Further cautions and notes can be found in the TZP24 Technical Guide\r \r Important note: \r \r The Department of Planning, Housing & Infrastructure (DPHI) published the 2024 NSW Population Projections in November 2024. As per DPHI’s published projections, the following variables are excluded from the published TZP24 Population and Dwellings Projections:\r \r *\tStructural Private Dwellings for Travel Zones in 43 councils across Greater Sydney, Illawarra-Shoalhaven, Central Coast, Lower Hunter and Greater Newcastle\r \r *\tOccupied Private Dwellings for Travel Zones in NSW.\r \r Furthermore, in TZP24, the Structural Private Dwellings variable aligns with the 2024 Implied Dwelling projections while the Occupied Private Dwellings variable aligns with the 2024 Households projections at SA2 level prepared by DPHI.\r \r The above variables are available upon request by contacting model.selection@transport.nsw.gov.au - Attention Place Forecasting.

This table represents the 2021 and 2031 Peel Regional Council adopted (ROPA 24) and provincially approved forecast numbers for Peel and the local municipalities. These forecasts are provincially allocated to Peel Region under The Growth Plan for the Greater Golden Horseshoe (2006). While these forecasts align to Peel Regional Official Plan ROPA 24, they are derived using 2006 Census base year data. The Region is in the process of bringing these forecasts into conformity with Amendment 2 to the Growth Plan. Updated forecasts will be provided once a new Regional Official Plan amendment has been adopted by Council and approved by the Province.Figures have been rounded to the nearest thousand. Totals for Mississauga, Brampton and Caledon may not add up to Peel’s total due to rounding. Forecasts were provided for Census years (2006, 2011, 2016, etc.) and years between were calculated through interpolation.When Should I Use These Forecasts?If your work or research is related to the Regional Official Plan or Planning (as in city planning), then you need to look at the current Council-endorsed Forecasts that are in the current Regional Official Plan.When Shouldn't I Use These Forecasts?If your work isn't related to the Regional Official Plan or Planning, you can likely use more detailed and up-to-date forecasts that are available on the portal. There are the Draft, Endorsed for Consultation forecasts (2016-2041) at the Secondary Plan Area level that are being proposed for the next Official Plan update and the Unofficial Forecasts (2016-2041) at the Census Tract level.

About this dataset

Context

The dataset tabulates the Rock town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Rock town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Rock town was 794, a 0.13% increase year-by-year from 2021. Previously, in 2021, Rock town population was 793, an increase of 0.89% compared to a population of 786 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Rock town decreased by 53. In this period, the peak population was 2,031 in the year 2019. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Rock town is shown in this column.
• Year on Year Change: This column displays the change in Rock town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Rock town Population by Year. You can refer the same here

This dataset presents a range of data items sourced from the Australian Bureau of Statistics (ABS). The data is derived from the November 2024 release of Data by region. Individual data items present the latest reference year data available on Data by region. This layer presents data by Local Government Areas (LGA), 2021.

The Aboriginal and Torres Strait Islander Peoples theme is based on groupings of data within Data by region. Concepts, sources and methods for each dataset can be found on the Data by region methodology page.

Topics in the Aboriginal and Torres Strait Islander Peoples theme include:

Estimated resident population Language (Census) Engagement in employment, education or training (Census) Labour force status (Census) Unpaid assistance to person with disability (Census) Unpaid childcare (Census) Voluntary work (Census) Tenure type (Census)

The Closing the Gap topics that are informed by Census data are included in the update:

Target 5: By 2031, increase the proportion of Aboriginal and Torres Strait Islander people aged 20-24 years attaining Year 12 or an equivalent qualification to 96 per cent. Target 6: By 2031, increase the proportion of Aboriginal and Torres Strait Islander people aged 25-34 years who have completed a tertiary qualification (Certificate III and above) to 70 per cent. Target 7: By 2031, increase the proportion of Aboriginal and Torres Strait Islander youth aged 15-24 years who are in employment, education or training to 67 per cent. Target 8: By 2031, increase the proportion of Aboriginal and Torres Strait Islander people aged 25-64 years who are employed to 62 per cent. Target 9A: By 2031, increase the proportion of Aboriginal and Torres Strait Islander people living in appropriately sized (not overcrowded) housing to 88 per cent.

When analysing these statistics:

Time periods, definitions, methodologies, scope, and coverage can differ across collections.
Some data values have been randomly adjusted or suppressed to avoid the release of confidential data, this means

    some small cells have been randomly set to zero
    care should be taken when interpreting cells with small numbers or zeros.

Data and geography references

Source data publication: Data by region Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: Data by region methodology, reference period 2011-24 Source: Australian Bureau of Statistics (ABS)

Made possible by the Digital Atlas of Australia

The Digital Atlas of Australia is a key Australian Government initiative being led by Geoscience Australia, highlighted in the Data and Digital Government Strategy. It brings together trusted datasets from across government in an interactive, secure, and easy-to-use geospatial platform. The Australian Bureau of Statistics (ABS) is working in partnership with Geoscience Australia to establish a set of web services to make ABS data available in the Digital Atlas of Australia.

Contact the Australian Bureau of Statistics

Email geography@abs.gov.au if you have any questions or feedback about this web service.
Subscribe to get updates on ABS web services and geospatial products.

Privacy at the Australian Bureau of Statistics Read how the ABS manages personal information - ABS privacy policy.

The growth rate of the elderly population in India saw a sharp increase from 2001 onward after a series of successive falls. According to projections for 2021-31, the growth rate was expected to be five times the growth rate of the total population.

Macau DSEC Projection: Resident Population: Female: 10 to 14 Year data was reported at 20,200.000 Person in 2036. This records a decrease from the previous number of 21,700.000 Person for 2031. Macau DSEC Projection: Resident Population: Female: 10 to 14 Year data is updated yearly, averaging 19,800.000 Person from Dec 2021 (Median) to 2036, with 4 observations. The data reached an all-time high of 21,700.000 Person in 2031 and a record low of 13,100.000 Person in 2021. Macau DSEC Projection: Resident Population: Female: 10 to 14 Year data remains active status in CEIC and is reported by Statistics and Census Service. The data is categorized under Global Database’s Macau – Table MO.G002: Resident Population and Immigrants: Projection: Statistics and Census Service.

This dataset is the 2016 release of the Victoria in Future series of data and presents Estimated Resident Population (ERP) for the state of Victoria. The data is presented in 2011 Local Government Area (LGA) boundaries and covers each year for the years 2011 to 2031.

The Victoria in Future series is a projection of the ERP for LGAs and Victoria in Future Small Areas (VIFSA) for 2011 to 2031. Some data areas are available for individual years and some for every fifth year in the projection period. The first year for each dataset within the series is 2011. Where available, the latest Australian Bureau of Statistics (ABS) data is used for the years 2012 to 2015.

Data are available for Estimated Resident Population (ERP - the official total population), population by age and sex (for single years of age in some cases, otherwise for five-year age groups) and households and dwellings (including average household sizes and dwelling occupancy rates).

Victoria in Future 2016 population projections are not predictions of the future, nor are they targets. They analyse changing economic and social structures and other drivers of demographic trends to indicate possible future populations if the present identified demographic and social trends continue. Projections are based exclusively on demographic components at the state and regional level, while local level projections take into account current and future land use, dwelling capacity, and development opportunities in addition to local demographic factors.

For more information please visit the DELWP VIF Portal.

Notes:

• AURIN has spatially enabled the original data.

• These detailed projections replace the projections published in Victoria in Future 2015 (based on the 2011 Census) issued by the Department of Transport, Planning and Local Infrastructure (DTPLI).

• The base year for the calculation of VIF2016 projections is 2015 (as at 30 June), the most recent year for which the ABS has published the Estimated Resident Population (ERP) for both Victoria and for LGAs.

• 2015 (a). - Data for 2015 has been estimated.

In 2021, the projected old age dependency rate was around 15.7 percent. And it was expected to reach 20.1 percent in 2031. The old age dependency ratio in India is seeing a gradual rise since the past few years. Projections reflect a steep rise in old age dependency from 2021 to 2031.

Early years child population forecasts (0-12 years) are available by 2012 Service Delivery Area (SDA). An updated version of these forecasts is available in the Early Years Forecast SDA 2017, 2016-2041 dataset. SDAs are a geography created in 2009 for service providers. SDAs were updated in 2012 to incorporate data from the 2011 Census. Peel has 77 SDAs. Early years population forecasts are consistent with the Regional Official Plan, sub-municipal data, and the Provincial Growth Plan.The forecasts are based on demographic analysis and knowledge of where growth and development can be accommodated within the Region.The forecasts were provided at 5 year intervals on Census years (2011, 2016, 2021, etc.). Intermediate years were calculated using interpolation.

According to Cognitive Market Research, The Pyrethroid Market will be USD XX Billion in 2023 and is set to achieve a market size of USD XX Billion by the end of 2031 growing at a CAGR of XX% from 2024 to 2031. Asia Pacific held the major market share for more than XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX % from 2024 to 2031. The North American region is the fastest-growing market with a CAGR of XX% from 2024 to 2031 and is projected to grow at a CAGR of XX% in the future. Europe accounted for a market share of over XX% of the global revenue with a USD XX million market size. Latin America had a market share for more than XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031. Middle East and Africa had a market share of around XX% of the global revenue and was estimated at a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031. The Pyrethroid Market held the highest market revenue share in 2024. Market Dynamics of the Pyrethroid Market

Key Drivers for The Pyrethroid Market

Increased need for insect-repellent products drives market growth for pyrethroids

The market for pyrethroids is anticipated to rise at a rapid pace due to the increasing demand for products that repel insects. Products labeled as "insect-repellent" are made of ingredients or combinations intended to repel insects away from surfaces, people, or animals. People use these items regularly, particularly in outdoor environments or places where insects are prevalent. Because pyrethroid-based insect repellents are so good at keeping insects like flies, mosquitoes, ticks, and other biting or bothersome insects at bay, there is a developing market for these treatments. They are a common ingredient in insect-repellent compositions because of their effectiveness in warding off these pests. For Instance, in May 2023, A European government organization called Eurostat reported that in 2021, 355,175 tons of pesticides were sold in Europe. This was a little increase of 2.7% above the 346,000 tons in 2020. The largest pesticide sales volumes in 2021 were recorded by fungicides and bactericides, herbicides, humus destroyers, moss killers, insecticides, and acaricides, in that order (44%, 34%, and 14%). Consequently, the market for pyrethroids is expanding due to the rising demand for products that repel insects. Source:(https://ec.europa.eu/eurostat/web/products-eurostat-news/w/ddn-20230510-1) Thus, the increased need for insect-repellent products is a significant driver of market growth for pyrethroids, as these chemicals are widely used in various insecticides and pest control solutions to address growing concerns about vector-borne diseases and crop protection.

The market for pyrethroids rises in response to rising global population demands for food.

The market for pyrethroids is anticipated to rise in the future because to rising food demands brought on by a growing population. The term "food demands of a growing population" describes the rising demand for food resources brought on by the world's population growth. By successfully controlling pest infestations, promoting food security, and satisfying the requirement for increased agricultural production to meet the demands of a growing global population, pyrethroids are employed to secure higher crop yields. For instance, in September 2022, A US government agency, the U.S. Census Bureau, reports that as of 2022, there were 333,287,557 residents in the country, a rise of 1,256,003, or 0.4%, from the previous year. Source:(https://www.census.gov/newsroom/press-releases/2022/2022-population-estimates.html) For instance, as of September 2022, the U.S. Census Bureau a US government agency reported that the number of residents in the US had grown by 0.4%, or 1,256,003, to 333,287,557. Consequently, the market for pyrethroids is being driven by the rising food demands of a growing population. Source:(https://www.census.gov/newsroom/press-releases/2022/2022-population-estimates.html#:~:text=DEC.,components%20of%20change%20released%20today.) Thus, the rising global population's demands for food are a key driver of pyrethroid market growth, as these chemicals play a crucial role in protecting...

This dataset provides unofficial population forecast data for Peel Region by 2016 Census Tracts. The forecasts are provided as-is for each Census Tract in Peel in 5-year age groups for each Census year (5 year intervals from 2016 to 2041).Please note: there are some known issues with age forecasts when aggregating values from the Census Tract level to the municipal level. These aggregated Census Tract values will be different than the municipal totals that are provided. The municipal totals take precedence and provide the correct municipal-level population values. These forecasts have not been endorsed by Regional Council and are not used for Regional Official Plan or Planning purposes. These forecasts have been created to aid in other programming and estimates the Region performs and are neither official nor endorsed.For Council endorsed values at the municipal level, please see Population Forecasts 2006-2031.

When Should I Use These Forecasts? These forecasts, while they are not official and can't be used for Planning purposes, can still be useful to you. They provide approximate population and age information at a sub-neighbourhood level. This can be used to help in program or business planning with data that was never publicly available before. When Shouldn't I Use These Forecasts? If your work or research is related to the Regional Official Plan, Planning (as in city planning), or municipal infrastructure planning, then you need to look at the current Council-endorsed Forecasts that are in the current Regional Official Plan. If you want to see the draft approved for consultation forecasts by Secondary Plan Area (SPA), they are available on the Open Data Portal. Notes

These forecasts have been created to aid in other programming and estimates the Region performs and are neither official nor endorsed for Planning purposes. Due to rounding errors, values may not always add up to their totals.Population values include a net under-coverage (undercount) that has been applied.

Myanmar Population: Estimate: Female: Yangon Division data was reported at 5,627.356 Person th in 2031. This records an increase from the previous number of 5,523.135 Person th for 2030. Myanmar Population: Estimate: Female: Yangon Division data is updated yearly, averaging 4,729.924 Person th from Sep 2014 (Median) to 2031, with 18 observations. The data reached an all-time high of 5,627.356 Person th in 2031 and a record low of 3,881.624 Person th in 2014. Myanmar Population: Estimate: Female: Yangon Division data remains active status in CEIC and is reported by Central Statistical Organization. The data is categorized under Global Database’s Myanmar – Table MM.G003: Population Estimation: 2014 Population Census: By State.

This dataset is the 2016 release of the Victoria in Future series of data and presents the number of households by household types for the state of Victoria. The data is presented in 2011 Local Government Area (LGA) boundaries and covers each fifth year for the years 2011 to 2031.

The Victoria in Future series is a projection of the ERP for LGAs and Victoria in Future Small Areas (VIFSA) for 2011 to 2031. Some data areas are available for individual years and some for every fifth year in the projection period. The first year for each dataset within the series is 2011. Where available, the latest Australian Bureau of Statistics (ABS) data is used for the years 2012 to 2015.

Data are available for Estimated Resident Population (ERP - the official total population), population by age and sex (for single years of age in some cases, otherwise for five-year age groups), households and dwellings (including average household sizes and dwelling occupancy rates).

Victoria in Future 2016 population projections are not predictions of the future, nor are they targets. They analyse changing economic and social structures and other drivers of demographic trends to indicate possible future populations if the present identified demographic and social trends continue. Projections are based exclusively on demographic components at the state and regional level, while local level projections take account of current and future land use, dwelling capacity, and development opportunities in addition to local demographic factors.

For more information please visit the DELWP VIF Portal.

Notes:

• AURIN has spatially enabled the original data.

• These detailed projections replace the projections published in Victoria in Future 2015 (based on the 2011 Census) issued by the Department of Transport, Planning and Local Infrastructure (DTPLI).

• The base year for the calculation of VIF2016 projections is 2015 (as at 30 June), the most recent year for which the ABS has published the Estimated Resident Population (ERP) for both Victoria and for LGAs.

• The data tables have been condensed to one dataset to allow longitudinal analysis of the data through year-period filters.

Legislative Resolution 134 with Amendment 1472 was sent to the floor of the unicameral. LB-8 - NU Board of Regents was passed by the Legislature and approved by the Governor of Nebraska. Once approved the boundaries were handed over to the Secretary of State’s Office. These boundaries will be redrawn in 2031 following the 2030 U.S. Census. http://news.legislature.ne.gov/red/

About this dataset

Context

The dataset tabulates the population of Battle Creek by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Battle Creek. The dataset can be utilized to understand the population distribution of Battle Creek by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Battle Creek. 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 Battle Creek.

Key observations

Largest age group (population): Male # 15-19 years (2,235) | Female # 10-14 years (2,031). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

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

• Age Group: This column displays the age group for the Battle Creek population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Battle Creek is shown in the following column.
• Population (Female): The female population in the Battle Creek is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Battle Creek for each age group.

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 Battle Creek Population by Gender. You can refer the same here