Introduction

Infographic Statistics: ​Infographics have emerged as a powerful tool in data communication, significantly enhancing content engagement and information retention. Approximately 60% of businesses have integrated infographics into their content strategies, recognizing their effectiveness in conveying complex data succinctly.

Content incorporating images and graphics, such as infographics, can achieve up to 650% higher engagement compared to text-only content. Furthermore, infographics are 30 times more likely to be read than purely textual articles, underscoring their appeal to audiences. The human brain processes visual information more efficiently, with 90% of information transmitted to the brain being visual.

Additionally, 65% of individuals are visual learners, highlighting the importance of visual aids in learning and information dissemination. When information is paired with relevant images, people retain 65% of the information three days later, compared to only 10% when it is presented without visuals.

These statistics demonstrate the critical role of infographics in enhancing communication, improving comprehension, and increasing audience engagement across various platforms.

The infographic in question, entitled Population Estimates, Canada, 2015, provides a concise accurate snapshot of the most recent demographic trends in Canada, related to demographic growth and aging, at the national, provincial and territorial levels.

The data coming from the census 2010 - used to develop this publication of infographics on population characteristics on each of Indonesia’s thirty-three provinces. The book is the result of cooperation between with BNPB and BPS and the United Nations agencies UNOCHA, UNFPA, WFP, and UNDP. UNFPA provided technical assistance in the preparation of the basic population indicators such as sex ratio, population density, main livelihood, and levels of literacy. In addition, this book also displays information regarding dependency ratio, fertility rates, life expectancy, and infant mortality rates included in the Population Projection 2010-2035. The results can be seen in this link: http://reliefweb.int/report/indonesia/indonesia-province-infographic-book-27-nov-2014 The datasets can also accessible in here: http://dibi.bnpb.go.id/profil-wilayah/11/aceh

The infographic, entitled TORONTO. Your city. Your facts. Take a look!, is designed to inform readers about Statistics Canada survey collection in the Toronto and surrounding areas by presenting a selection of household survey data for the Census Metropolitan Area of Toronto. The purpose of this infographic is to encourage residents in the Toronto and surrounding areas to participate in Statistics Canada's surveys when they are selected.

Migration Summary (2011-2020) Infographic to be embedded in 2022 BBTN Migration Story Map. Data for maps and tables was retrieved from: Internal Revenue Service, Statistics of Income Division Migration Data, 2011 - 2020.

Each county in the United States has a link with a demographic infographic report that helps communities plan for the impact of COVID-19.Original Web Map by gburgessBAPlease visit original web map link at: _Data sources: Esri forecasts for 2019 U.S. Census Bureau 2013-2017 American Community Survey (ACS) Businesses counts from Infogroup

Using the coronavirus infographic template in Business/Community Analyst Web (ArcGIS Blog).

About this dataset

Context

The dataset tabulates the Tooele 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 Tooele 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 2023, the population of Tooele was 39,263, a 1.71% increase year-by-year from 2022. Previously, in 2022, Tooele population was 38,604, an increase of 3.64% compared to a population of 37,247 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Tooele increased by 16,098. In this period, the peak population was 39,263 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. 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 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Tooele is shown in this column.
• Year on Year Change: This column displays the change in Tooele 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 Tooele Population by Year. You can refer the same here

In 2010, the Canadian Internet Use Survey (CIUS) was redesigned to better measure the type and speed of household Internet connections. It is a hybrid survey that measures both household Internet access and the individual online behaviours of a selected household member, including the use of e-commerce. This infographic describes some results of the Canadian Internet Use and e-Commerce survey of 2012.

This statistic shows the results of a 2014 Popsugar survey among American women asking them if they share and post infographics. During the survey, 11.9 percent of female respondents said they share and post often.

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 28/02/2025

Update Frequency: Annual

Footnotes: For more information, please refer to the 'Population Trends' publication (www.singstat.gov.sg/publications/population/population-trends) and the Information Paper on 'Singapore Resident Population, 2003-2007' (www.singstat.gov.sg/-/media/files/publications/population/respop.pdf). For more information on Rate of Natural Increase, please refer to the Statistics Singapore Newsletter on 'Singapore's Rate of Natural Increase for Population' (www.singstat.gov.sg/find-data/search-by-theme/population/population-and-population-structure/publications-and-methodology). For more information on Old-Age Support Ratio, please refer to the the Infographics on 'Old-Age Support Ratio' (www.singstat.gov.sg/modules/infographics/old-age-support-ratio) and Statistics Singapore Newsletter on 'Are the Old-Age Support Ratio Trends Similar Across Different Working-Age Groups' (www.singstat.gov.sg/find-data/search-by-theme/population/population-and-population-structure/publications-and-methodology).

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M810001

This infographic, entitled Family Violence in Canada, presents results from the Uniform Crime Reporting Survey and General Social Survey on victimization. Findings cover the prevalence of both police-reported and self-reported family and spousal violence in Canada.

Infographic displaying current education, income, and employment in San Bernardino County.Report was generated February 2024 using Business Analyst for ArcGIS

This profile is based on the ERSI Community Analyst Report Template. This infographic contains data provided by Esri. The vintage of the data is 2021, 2026.

About this dataset

Context

The dataset tabulates the Salem population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Salem. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 30,033 (67.88% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Salem population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Salem is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Salem is shown in the following column.

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 Salem Population by Age. You can refer the same here

In 2010, the Canadian Internet Use Survey (CIUS) was redesigned to better measure the type and speed of household Internet connections. The CIUS consists of a household component that measures home access, and an individual component that measures online behaviours, including the use of e-commerce. These infographics describe some results of the Canadian Internet Use and e-Commerce survey of 2010.

apportionments_pop_2021_pred_2024.xlsx This is a dataset containing prediction apportionments of seats for the 2024 election of the European Parliament (EP). This prediction is based on population data from the 2021 census held by Eurostat. See our paper for the standard function, configurations of parameters, and d-rounding rules we used for calculation. Note: We recommend readers who are not so well informed about apportionment problems and rounding rules see https://www.census.gov/library/video/2021/what-is-apportionment.html or https://www.census.gov/history/www/reference/apportionment/methods_of_apportionment.html.

Data interpretations for this dataset are as follows. 4 worksheets: all: prediction apportionment results of all configurations under the assumption that the membership remains unchanged and the total number of seats is between 705 (current total number of seats) and 750 (statutory threshold). no_lose: prediction apportionment results under the following assumptions: (1) the membership remains unchanged; (2) any Member State does not lose any seats from the current distribution of seats; (3) and the total number of seats is between 705 and 750. increase_no_lose: prediction apportionment results under the following assumptions: (1) the membership remains unchanged; (2) any Member State with an increasing population does not lose any seats from the current distribution of seats; (3) and the total number of seats is between 705 and 750. response: prediction apportionment results under the following assumptions: (1) the membership remains unchanged; (2) any Member State with an increasing population does not lose any seats from the current distribution of seats while any Member State with a decreasing population does not gain seats; (3) and the total number of seats is between 705 and 750. Meanings of column names: State: name of Member State of the European Union p_2011: population data from the 2011 census (data source: https://ec.europa.eu/eurostat/web/population-demography/population-housing-censuses/database) p_2021: population data from the 2021 census (data source: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Population_and_housing_census_2021_-_population_grids&stable=1#Distribution_of_European_population) stat_2020: current distribution of seats in the EP (data source: https://www.europarl.europa.eu/news/en/headlines/eu-affairs/20180126STO94114/infographic-how-many-seats-does-each-country-get-in-in-the-european-parliament) other columns: composed in the order of "a", "gamma", "d-rounding rule", and "the total number of seats (S)".

indexes_pop_2021_pred_2024.csv This is a dataset presenting the extent of the PSI-based inequality index (index based on Population Seat Index) and the conventional PSP-based index (index based on the proportion of seats to population) of all prediction apportionments of seats for the 2024 election of the European Parliament (EP). This prediction is based on population data from the 2021 census held by Eurostat. See our paper for the standard function, configurations of parameters, and d-rounding rules used for calculation and the PSI-based index and PSP-based index used for evaluation. Data interpretations for this dataset are as follows. Meanings of column names: a: configuration of the standard function gamma: configuration of the standard function rounding: d-rounding rule used for obtaining a whole number S: the total number of seats in the prediction x_min: the minimum number of seats in the prediction apportionment x_max: the maximum number of seats in the prediction apportionment inequality index: maximum of PSI divided by minimum of PSI psp_max/psp_min: maximum of PSP divided by minimum of PSP

The total population in Canada was estimated at 41.5 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - Canada Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Abstract

The Population and Housing Census 2021 was the 9th census carried out in Tonga since 1956, and the 7th census conducted by the Statistics Department. The Population and Housing Census is a vast and complex undertaking. It is certainly the largest statistical exercise we can contemplate, touching, as it does, every individual and household in the Kingdom. The result of the census has an important role in producing official statistics for Tonga and providing fundamental information for measuring SDG indicators. The 2021 Tonga Population and Housing Census is the third census undertaken following the 5-year interval census. This census will provide up-to-date information regarding the size, distribution, and structure of the Tonga population as well as other social and economic information. Periodic national population and housing census are critical to countries' development policy and planning efforts, in that they represent from most countries' only national snapshot of its social, demographic, and economic conditions, as well as information on recent developments in these areas, that impact on the overall well-being of its population. Population Census provides us with the opportunity to get an accurate, comprehensive and consistent picture of the country's population. The results are invaluable for policy formation, planning and effective targeting of resources. It provides the only source of directly comparable statistics both for small areas and different population groups. It is used as a reference base for many statistical series such as population profiles, infographics and detailed demographic analysis; population estimates, projections and sample survey frame. The census date was midnight, the 30th of November 2021, everyone in Tonga was counted, so that leaves no one behind through the census. The Census of Population and Housing 2021 Volume 1 is the first of two statistical publications of detailed census results. The report comprises detailed statistical tables to facilitate users carrying out more comprehensive studies and further analyses. The Census 2021 was conducted under challenging conditions with the evolving COVID - 19 situation and the significant disruptions of the Volcanic Eruption. The success of the 2021 Tonga Population and Housing Census was made possible with by all participating households who had given their full support and co-operation to the Census. Also the continuous commitment of the all the staff of Tonga Statistics Department.

Geographic coverage

National coverage.

Analysis unit

Household, Individual

Kind of data

Census/enumeration data [cen]

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire is made of 18 sections in total and is in English with the Tongan translation below each question. The questionnaire was designed with Survey Solutions. Below is the list of all 18 sections:

-Demographic characteristics -Civil registration -Migration -Health -Functioning -Education -Literacy -Internet and communication -Alcohol and tobacco -Labour force -Electoral vote -Fertility and mortality -Dwelling characteristics -Household assets -Household income sources -Children deprivation -Household members no longer living in household -Electricity meter and GPS.

The questionnaire is available in the external resources section.

Cleaning operations

Data was edited using the software Stata (version 15).

Infographic displaying current housing characteristics in San Bernardino County.Report was generated February 2024 using Business Analyst for ArcGIS