Our consumer data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.
Our comprehensive data enrichment solution includes a variety of data sets that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences.
Consumer Graph Schema & Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:
Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly).
Consumer Graph Use Cases:
360-Degree Customer View:Get a comprehensive image of customers by the means of internal and external data aggregation.
Data Enrichment:Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment
Fraud Detection: Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity.
Advertising & Marketing:Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.
Using Factori Consumer Data graph you can solve use cases like:
Acquisition Marketing Expand your reach to new users and customers using lookalike modeling with your first party audiences to extend to other potential consumers with similar traits and attributes.
Lookalike Modeling
Build lookalike audience segments using your first party audiences as a seed to extend your reach for running marketing campaigns to acquire new users or customers
And also, CRM Data Enrichment, Consumer Data Enrichment B2B Data Enrichment B2C Data Enrichment Customer Acquisition Audience Segmentation 360-Degree Customer View Consumer Profiling Consumer Behaviour Data
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
A shift in scientific publishing from paper-based to knowledge-based practices promotes reproducibility, machine actionability and knowledge discovery. This is important for disciplines like social science, as study indicators are often social constructs such as race or education; hypothesis tests are challenging to compare in demographic research due to their limited temporal and spatial coverage; and natural language in research papers is often imprecise and ambiguous. Therefore, we present the MIRA-KG, consisting of: (1) an ontology for capturing social demography research, which links hypotheses and findings to evidence, (2) annotations of papers on health inequality in terms of the ontology, gathered by (i) prompting a Large Language Model to annotate paper abstracts using the ontology, (ii) mapping concepts to terms from NCBO BioPortal ontologies and GeoNames, and (iii) refining the final graph by a set of SHACL constraints, developed according to data quality criteria. The utility of the resource lies in its use for formally representing social demography research hypotheses, discovering research biases, discovery of knowledge, and the derivation of novel questions.
This dataset was generated using the code available on Github at https://w3id.org/mira/ at version v1.0. It uses the following ontology: https://w3id.org/mira/ontology/. A dump of the requirement stories and other resources used to generate the resource can be found on the drive: https://drive.google.com/drive/folders/1QKAOVV0TXfF4vYQ7b5dkHkXQjBqnh75W?usp=sharing.
The world's population first reached one billion people in 1803, and reach eight billion in 2023, and will peak at almost 11 billion by the end of the century. Although it took thousands of years to reach one billion people, it did so at the beginning of a phenomenon known as the demographic transition; from this point onwards, population growth has skyrocketed, and since the 1960s the population has increased by one billion people every 12 to 15 years. The demographic transition sees a sharp drop in mortality due to factors such as vaccination, sanitation, and improved food supply; the population boom that follows is due to increased survival rates among children and higher life expectancy among the general population; and fertility then drops in response to this population growth. Regional differences The demographic transition is a global phenomenon, but it has taken place at different times across the world. The industrialized countries of Europe and North America were the first to go through this process, followed by some states in the Western Pacific. Latin America's population then began growing at the turn of the 20th century, but the most significant period of global population growth occurred as Asia progressed in the late-1900s. As of the early 21st century, almost two thirds of the world's population live in Asia, although this is set to change significantly in the coming decades. Future growth The growth of Africa's population, particularly in Sub-Saharan Africa, will have the largest impact on global demographics in this century. From 2000 to 2100, it is expected that Africa's population will have increased by a factor of almost five. It overtook Europe in size in the late 1990s, and overtook the Americas a decade later. In contrast to Africa, Europe's population is now in decline, as birth rates are consistently below death rates in many countries, especially in the south and east, resulting in natural population decline. Similarly, the population of the Americas and Asia are expected to go into decline in the second half of this century, and only Oceania's population will still be growing alongside Africa. By 2100, the world's population will have over three billion more than today, with the vast majority of this concentrated in Africa. Demographers predict that climate change is exacerbating many of the challenges that currently hinder progress in Africa, such as political and food instability; if Africa's transition is prolonged, then it may result in further population growth that would place a strain on the region's resources, however, curbing this growth earlier would alleviate some of the pressure created by climate change.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The total population in the United States was estimated at 341.2 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - United States Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The total population in Brazil was estimated at 212.6 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - Brazil Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Until the 1800s, population growth was incredibly slow on a global level. The global population was estimated to have been around 188 million people in the year 1CE, and did not reach one billion until around 1803. However, since the 1800s, a phenomenon known as the demographic transition has seen population growth skyrocket, reaching eight billion people in 2023, and this is expected to peak at over 10 billion in the 2080s.
https://www.zaragoza.es/sede/portal/aviso-legal#condicioneshttps://www.zaragoza.es/sede/portal/aviso-legal#condiciones
Set of graphs, tables or maps with demographic data on the population of the city of Zaragoza, gathered by the Statistical Observatory. http://www.zaragoza.es/ciudad/risp/demografia.htmÍndice content (complete): Municipal Register: Characteristics of the population Demographic Indicators Official Data Characteristics of the population Natural Population Movement Migrations Demographic Indicators Aid: To access the data set, you need to click on the Demographic and Population tag in the drop-down menu. There you can access the set of tables that are organised thematically. Click on the tag of the theme on which you want to extract the statistical data, select the desired table(s), clicking on the square to the left of the title of each table and clicking on the tab called: Table/Map/Graph to display or generate charts, tables and maps. http://demografia.zaragoza.es/ayuda.aspx?id_idioma=1Más information about the tool Developer Tools: You can export graphs in different formats and generate Json from the tab tables/maps in those indicators that have information together
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Population Growth for Brazil (SPPOPGROWBRA) from 1961 to 2024 about Brazil, population, and rate.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Population Growth for the United States (SPPOPGROWUSA) from 1961 to 2024 about population, rate, and USA.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Population Level - Hispanic or Latino (LNU00000009) from Mar 1973 to Jun 2025 about civilian, latino, hispanic, population, and USA.
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Graph and download economic data for Population Growth for Low Income Countries (SPPOPGROWLIC) from 1961 to 2023 about income, population, and rate.
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Graph and download economic data for Population Ages 15 to 64 for the United States (SPPOP1564TOZSUSA) from 1960 to 2024 about 15 to 64 years, population, and USA.
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Graph and download economic data for Infra-Annual Labor Statistics: Working-Age Population Total: From 25 to 54 Years for United States (LFWA25TTUSM647N) from Jan 1955 to May 2025 about 25 to 54 years, working-age, population, and USA.
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Graph and download economic data for Resident Population in Richmond city, VA (VARICH0POP) from 1970 to 2024 about Richmond City, VA; Richmond; VA; residents; population; and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Provides data visualizations for demographic change over the last 25 years in 43 Alaska villages
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Population Growth for China (SPPOPGROWCHN) from 1961 to 2024 about China, population, and rate.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The total population in Vietnam was estimated at 101.3 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - Vietnam Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The total population in Finland was estimated at 5.6 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - Finland Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The total population in Ivory Coast was estimated at 31.9 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - Ivory Coast Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.
These files contain individual graphs tracking population dynamics in 104 individual Arctic/Subarctic Alaska communities, over the years from 1990 to 2022. The numerical data underlying these graphs have been archived separately with the Arctic Data Center: Hamilton, L.C. 2023. “Annual population, natural increase and net migration for rural Alaska communities 1990–2022.” Dataset archived with the NSF Arctic Data Center. https://arcticdata.io/catalog/view/doi:10.18739/A28K74Z2B The purpose of this "graphical library" is to provide visualizations of 1990-2022 population change for each town or village in a format that is simple to download, share, and apply to other purposes such as planning, proposals or case studies. The files (identical pdf and PowerPoint versions) include a brief rationale, illustration of the numerical database organization, description of sources, citations and links to published articles, and explanation of the graphical style. These notes are followed by 104 individual graphs, one per slide, organized by boroughs or census areas.
Our consumer data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.
Our comprehensive data enrichment solution includes a variety of data sets that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences.
Consumer Graph Schema & Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:
Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly).
Consumer Graph Use Cases:
360-Degree Customer View:Get a comprehensive image of customers by the means of internal and external data aggregation.
Data Enrichment:Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment
Fraud Detection: Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity.
Advertising & Marketing:Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.
Using Factori Consumer Data graph you can solve use cases like:
Acquisition Marketing Expand your reach to new users and customers using lookalike modeling with your first party audiences to extend to other potential consumers with similar traits and attributes.
Lookalike Modeling
Build lookalike audience segments using your first party audiences as a seed to extend your reach for running marketing campaigns to acquire new users or customers
And also, CRM Data Enrichment, Consumer Data Enrichment B2B Data Enrichment B2C Data Enrichment Customer Acquisition Audience Segmentation 360-Degree Customer View Consumer Profiling Consumer Behaviour Data