The number of snapchat users in the United States was forecast to continuously increase between 2024 and 2028 by in total 5.7 million users (+5.3 percent). After the ninth consecutive increasing year, the snapchat user base is estimated to reach 113.3 million users and therefore a new peak in 2028. Notably, the number of snapchat users of was continuously increasing over the past years.The user numbers, depicted here regarding the platform Snapchat, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of snapchat users in countries like Canada and Mexico.

The global number of snapchat users in was forecast to continuously increase between 2024 and 2028 by in total 165.7 million users (+27 percent). After the ninth consecutive increasing year, the snapchat user base is estimated to reach 779.3 million users and therefore a new peak in 2028. Notably, the number of snapchat users of was continuously increasing over the past years.The user numbers, depicted here regarding the platform Snapchat, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of snapchat users in countries like Africa and the Americas.

As of the second quarter of 2025, photo and video sharing app Snapchat had 469 million daily active users worldwide, up from 460 million global DAU in the first quarter of 2025. The app has seen steady increases in daily active users since the beginning of 2019. Snapchat is relevant for teenagers Originally launched in 2011, Snapchat has become one of the most popular social messaging and photo sharing apps worldwide; making its CEO and co-founder Evan Spiegel one of the world’s richest social media entrepreneurs. With almost 800 million active users as of April 2024, Snapchat easily ranks among the most popular social networks worldwide. According to U.S. teenagers in fall 2023, Snapchat is the second most important social network of their generation, ahead of photo sharing competitor Instagram and other networks such as Twitter or Facebook. Overall, 48 percent of U.S. internet users aged 15 to 25 years were reportedly using Snapchat, the highest usage reach among any age group. When it comes to user satisfaction with social media, Snapchat’s performance is fair to middling. According to recent survey data, the social app scored 72 out of 100 points on a consumer satisfaction scale, ranking ahead of Twitter and Facebook but behind Pinterest and eternal rival Instagram.

The SNAP Policy Database provides a central data source for information on State policy options in the Supplemental Nutrition Assistance Program (SNAP). The database includes information on State-level SNAP policies relating to eligibility criteria, recertification and reporting requirements, benefit issuance methods, availability of online applications, use of biometric technology (such as fingerprinting), and coordination with other low-income assistance programs. Data are provided for all 50 States and the District of Columbia for each month from January 1996 through December 2011.

The information in this database can facilitate research on factors that influence SNAP participation and on SNAP's effects on a variety of outcomes, such as health and dietary intake. More specifically, the database can be used to:

• Describe the differences in the State-level administration of SNAP and trends in the adoption of specific State-level SNAP policies,
• Examine how State policies affect household-level participation in SNAP, and
• Estimate the effect of SNAP participation on outcomes such as health and food spending by combining this data with nationally representative survey data. The SNAP Policy Database provides a potentially exogenous source of variation in program participation and can be used in instrumental variables estimation techniques.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: SNAP Policy Data Sets For complete information, please visit https://data.gov.

In 2021, messaging and video sharing platform Snapchat was more popular than TikTok among Gen Z users in the United States. TikTok counted around 37 million users who were born between 1997 and 2012, while Instagram reported around 33 million users in the same period. Snapchat, which counted 42 million Gen Z users, is projected to reach 49.5 million users in the examined demographic by 2025. Overall, platforms such as Pinterest, Twitter and Reddit had significantly less users amongst this age group.

YouTube, Instagram and Snapchat are the most popular online platforms among teens. Fully 95% of teens have access to a smartphone, and 45% say they are online 'almost constantly

this dataset has all you need to know about apps that are more popular among teens

Among internet users in the United States, Facebook Messenger is the most well-known messenger service, with 91 percent recognizing them. Places two and three in this ranking go to Snapchat and FaceTime.

For this study, brand awareness was surveyed employing the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.

Interested in more detailed results covering all brands of this ranking and many more? Explore GCS Brand Profiles. These statistics show results of the Brand KPI survey.

As of the first quarter of 2025, Snapchat+ had amassed around 15 million subscribers, up from 14 million in the fourth quarter of 2024. Snapchat+, the paid version of Snap Inc.'s social app, was released in June 2022 and lets paying users of the platform access pre-release and experimental features for 3.99 U.S. dollars per month.

The SNAP participation rate shows how many households in Champaign County receive SNAP benefits, as a percentage of the total number of households in the county. The SNAP participation rate can serve as an indicator of poverty and need in the area, as income-based thresholds establish SNAP eligibility. However, not every household in poverty receives SNAP benefits, as can be determined by comparing the poverty rate between 2005 and 2023 and the percentage of households receiving SNAP benefits between 2005 and 2023.

The number of households and the percentage of households receiving SNAP benefits was higher in 2023 than in 2005, but we cannot establish a trend based on year-to-year changes, as in many years these changes are not statistically significant.

SNAP participation data was sourced from the U.S. Census Bureau’s American Community Survey (ACS) 1-Year Estimates, which are released annually.

As with any datasets that are estimates rather than exact counts, it is important to take into account the margins of error (listed in the column beside each figure) when drawing conclusions from the data.

Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data in 2020. This includes a limited number of data tables for the nation, states, and the District of Columbia. The Census Bureau states that the 2020 ACS 1-year experimental tables use an experimental estimation methodology and should not be compared with other ACS data. For these reasons, and because data is not available for Champaign County, no data for 2020 is included in this Indicator.

For interested data users, the 2020 ACS 1-Year Experimental data release includes a dataset on Receipt of Food Stamps/SNAP in the Past 12 Months by Presence of Children Under 18 Years for Households.

Sources: U.S. Census Bureau; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using data.census.gov; (17 October 2024).; U.S. Census Bureau; American Community Survey, 2022 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using data.census.gov; (26 September 2023).; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using data.census.gov; (5 October 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using data.census.gov; (8 June 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using data.census.gov; (8 June 2021).; U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2016 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (14 September 2017).; U.S. Census Bureau; American Community Survey, 2015 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (19 September 2016).; U.S. Census Bureau; American Community Survey, 2014 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2013 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2012 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2011 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2010 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2009 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2008 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2007 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2006 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2005 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (16 March 2016).

During the first half of 2024, North America was the region with the highest number of Snapchat account enforcements, with over 2.26 million Snapchat profiles being either removed, preserved, or suppressed. In Europe, 1.6 million accounts were enforced, whilst 1.56 million were actioned from other regions.

A tutorial to quantify BAM earthquake using SNAP

Differential InSAR is a satellite-based remote sensing technique that can be used to quantify small displacements of the Earth's surface. This is due to the interferometric phase being much more sensitive to the ground motion than to the elevation difference. This practical session will explain how to apply it to real-world Envisat ASAR images, with user-oriented open-source SNAP software. The main goal is able to generate ground motion from a pair of SAR images to map the Earthquake of 2003 in BAM city.

More information can be found here:

Video: https://youtu.be/Uc-5F9Vz04w

https://github.com/BAMInSAR

https://www.facebook.com/groups/RadarInterferometry

SNAP is designed to reduce food insecurity – reduced food intake or disrupted eating patterns in a household due to lack of money or other resources – but data quantifying this effect is limited. The objectives of this study were to: Assess how food security and food expenditures vary with SNAP participation. Examine how relationships between SNAP and food security and between SNAP and food expenditures vary by household characteristics and circumstances. Estimating the effect of SNAP on food insecurity using household survey data is challenging because households that choose to participate in SNAP can differ in systematic ways from households that do not participate, making it hard to distinguish the impact of SNAP from these other factors. This study sought to control for the SNAP participation “selection bias” by comparing information collected from households within days of entering the program (new entrants) to information obtained after about 6 months of participation.

Note: The Food Environment Atlas contains ERS's most recent and reliable data on food assistance programs, including participants in the SNAP Program. The Supplemental Nutrition Assistance Program (SNAP) Data System is no longer being updated due to inconsistencies and reliability issues in the source data. The Supplemental Nutrition Assistance Program (SNAP) Data System provides time-series data on State and county-level estimates of SNAP participation and benefit levels, combined with area estimates of total population and the number of persons in poverty.

This database contains a subset of the Memetracker dataset collected by SNAP.

The full Memetracker dataset has observations broken into months. Because of size considerations, however, this version consists of one-half of a month: the first 15 days of Memetracker observations from November 2008.

About

Memetracker tracks the quotes and phrases that appear most frequently over time across the entire online news spectrum. This makes it possible to see how different stories compete for news and blog coverage each day, and how certain stories persist while others fade quickly.

Overall Memetracker tracks more than 17 million different phrases and about 54% of the total phrase/quote mentions appear on blogs and 46% in news media.

Acknowledgments

This dataset was collected by the Stanford Network Analysis Project. Detailed information about the data and its analysis can be found at the website here.

An analysis of this dataset was published here:
J. Leskovec, L. Backstrom, J. Kleinberg. Meme-tracking and the Dynamics of the News Cycle. ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 2009.

The Data

The SQLite database contains three tables:

articles: 4,542,920 records, with the following fields:

• article_id: a unique id for the article (int)
• url: the URL of the article (text)
• date: the date of the article (text), in the strptime format '%Y-%m-%d %H:%M:%S'

quotes: 7,956,125 records, with the following fields:

• article_id: unique id for the article that this quote was found in (int)
• phrase: the high-frequency phrase found in the article (text)

links: 16,727,125 records, with the following fields:

• article_id: unique id for the article that this link was found in (int)
• link_out: the URL of the link out (text)
• link_out_id: unique id for the target article (int), if it exists; else NULL

Cash Assistance and SNAP case reopenings with missed benefits ordered by NYS Welfare Management System (WMS) closing reason code. The total number of instances during the specified quarter and year in which a Cash Assistance case was terminated and at least one disbursement date passed before such case was reopened for the same type of ongoing Cash Assistance or SNAP. This data is ordered by the NYS Welfare Management System (WMS) closing reason code that was used to close the case prior to the case reopening. Each record is one case which may include one or many recipients.

NOTE: Because asterisks represent values between 1 and 10, users should not sum values across columns or rows to determine the total number of cases within a quarter. Accurate totals are represented in the rows and columns labeled “Total”.

96 million memes from Memetracker

96 million memes from the Memetracker. Memetracker tracks the quotes and phrases that appear most frequently over time across this entire online news spectrum. This makes it possible to see how different stories compete for news and blog coverage each day, and how certain stories persist while others fade quickly.

Overall Memetracker tracks more than 17 million different phrases and about 54% of the total phrase/quote mentions appear on blos and 46% in news media.

For each document (blog post or news media article): - URL (author) - Time - Memes - Links

Volume Time Series of Memetracker Phrases and Twitter Hashtags

Data contains the time series of the volume (the number of mention per hour) of 1,000 Memetracker phrases and 1,000 Twitter hashtags. Memetracker phrases are the 1,000 highest total volume phrases among 343 million phrases collected from Sep 2008 to Aug 2009. Twitter hashtags are the 1,000 highest total volume hashtags among 6 million hashtags from Jun to Dec 2009.

Higgs Twitter Dataset

The Higgs dataset has been built after monitoring the spreading processes on Twitter before, during and after the announcement of the discovery of a new particle with the features of the elusive Higgs boson on 4th July 2012. The messages posted in Twitter about this discovery between 1st and 7th July 2012 are considered.

The four directional networks made available here have been extracted from user activities in Twitter as: 1. re-tweeting (retweet network) 2. replying (reply network) to existing tweets 3. mentioning (mention network) other users 4. friends/followers social relationships among user involved in the above activities 5. information about activity on Twitter during the discovery of Higgs boson

It is worth remarking that the user IDs have been anonimized, and the same user ID is used for all networks. This choice allows to use the Higgs dataset in studies about large-scale interdependent/interconnected multiplex/multilayer networks, where one layer accounts for the social structure and three layers encode different types of user dynamics .

Note that this dataset has been updated on Mar 31 2015. If you downloaded a previous version, please update it, results could differ.

For more information about data collection, please refer to our paper.

Stanford Network Analysis Platform (SNAP) is a general purpose, high performance system for analysis and manipulation of large networks. Graphs consists of nodes and directed/undirected/multiple edges between the graph nodes. Networks are graphs with data on nodes and/or edges of the network.

The core SNAP library is written in C++ and optimized for maximum performance and compact graph representation. It easily scales to massive networks with hundreds of millions of nodes, and billions of edges. It efficiently manipulates large graphs, calculates structural properties, generates regular and random graphs, and supports attributes on nodes and edges. Besides scalability to large graphs, an additional strength of SNAP is that nodes, edges and attributes in a graph or a network can be changed dynamically during the computation.

SNAP was originally developed by Jure Leskovec in the course of his PhD studies. The first release was made available in Nov, 2009. SNAP uses a general purpose STL (Standard Template Library)-like library GLib developed at Jozef Stefan Institute. SNAP and GLib are being actively developed and used in numerous academic and industrial projects. http://snap.stanford.edu/data/index.html#onlinecoms

As of April 2024, almost 32 percent of global Instagram audiences were aged between 18 and 24 years, and 30.6 percent of users were aged between 25 and 34 years. Overall, 16 percent of users belonged to the 35 to 44 year age group.

              Instagram users

              With roughly one billion monthly active users, Instagram belongs to the most popular social networks worldwide. The social photo sharing app is especially popular in India and in the United States, which have respectively 362.9 million and 169.7 million Instagram users each.

              Instagram features

              One of the most popular features of Instagram is Stories. Users can post photos and videos to their Stories stream and the content is live for others to view for 24 hours before it disappears. In January 2019, the company reported that there were 500 million daily active Instagram Stories users. Instagram Stories directly competes with Snapchat, another photo sharing app that initially became famous due to it’s “vanishing photos” feature.
              As of the second quarter of 2021, Snapchat had 293 million daily active users.

The number of snapchat users in Africa was forecast to continuously increase between 2024 and 2028 by in total 40.3 million users (+52.07 percent). After the ninth consecutive increasing year, the snapchat user base is estimated to reach 117.68 million users and therefore a new peak in 2028. Notably, the number of snapchat users of was continuously increasing over the past years.The user numbers, depicted here regarding the platform Snapchat, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of snapchat users in countries like Asia and Australia & Oceania.

As of April 2024, around 16.5 percent of global active Instagram users were men between the ages of 18 and 24 years. More than half of the global Instagram population worldwide was aged 34 years or younger.

              Teens and social media

              As one of the biggest social networks worldwide, Instagram is especially popular with teenagers. As of fall 2020, the photo-sharing app ranked third in terms of preferred social network among teenagers in the United States, second to Snapchat and TikTok. Instagram was one of the most influential advertising channels among female Gen Z users when making purchasing decisions. Teens report feeling more confident, popular, and better about themselves when using social media, and less lonely, depressed and anxious.
              Social media can have negative effects on teens, which is also much more pronounced on those with low emotional well-being. It was found that 35 percent of teenagers with low social-emotional well-being reported to have experienced cyber bullying when using social media, while in comparison only five percent of teenagers with high social-emotional well-being stated the same. As such, social media can have a big impact on already fragile states of mind.

Supplemental Nutrition Assistance Program (SNAP) is the new name for the federal Food Stamp Program. This data set contains participation and cost data for SNAP. The data is furthered divided by annual, state, and monthly levels categorized by persons participating, households participating, benefits provided, average monthly benefits per person and average monthly benefits per household.