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https://www.ecb.europa.eu/stats/ecb_surveys/hfcs/html/index.en.html
understanding society: the uk household longitudinal survey (heir to british household panel survey)
https://www.understandingsociety.ac.uk/documentation/access-data/
https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=6614
https://dataverse.ada.edu.au/dataverse/DSSLongitudinalStudies
https://www.ggp-i.org/generations-and-gender-survey/
https://www.icpsr.umich.edu/web/NAHDAP/series/35
https://ncses.nsf.gov/explore-data/microdata
https://ncsesdata.nsf.gov/datadownload/
[email protected] said NSOAAP microdata (AGID 2.0 site to be launched) soon https://agid.acl.gov/
https://www.newyorkfed.org/microeconomics/sce#/
https://pop.umn.edu/data/nchat
https://github.com/ajdamico/asdfree/tree/master/unpublished%20metadata
publicly available from cdc korea
https://www.fhfa.gov/programs/national-mortgage-database-program
https://data.hrsa.gov/topics/health-systems/organ_donation_opinion_survey-data
ffcws.princeton.edu
https://wfhresearch.com/gswadata/ https://wfhresearch.com/data/
https://www.cdc.gov/prams/index.htm
https://developer.ibm.com/exchanges/data/all/wikitext-103/
https://blogs.cdc.gov/nchs/2021/09/02/6047/
Investment and Debt Survey - Rural data
The situation assessment survey in 2013 and 2019
https://nhats.org/researcher/nsoc
https://www.cdc.gov/nchs/ahcd/
https://www.fdic.gov/analysis/household-survey/index.html
https://www.gesis.org/en/institute
4 of them: household pulse, school pulse, household panel, military panel
https://ghdx.healthdata.org/series/brazil-mortality-information-system-sim
https://www.acf.hhs.gov/orr/programs/refugees/annual-survey-refugees
Initially motivated by the COVID-19 pandemic, high-frequency phone surveys have been rolled out rapidly across low- and middle-income countries with otherwise limited past experience with phone-based data collection. In view of the slow-down in face-to-face survey data collection, phone surveys, have fulfilled important gaps in evidence and knowledge regarding the impacts of and responses to the pandemic. Now in the third year of the pandemic, phone surveys continue to respond to evolving data needs not only regarding the COVID-19 pandemic but also emerging, large-scale, covariant health and economic shocks. This presentation will provide an overview of the World Bank Living Standards Measurement Study (LSMS)’s program on longitudinal high-frequency phone surveys, which have been implemented in Burkina Faso, Ethiopia, Malawi, Nigeria, Tanzania and Uganda since April 2020 by the respective national statistical office (NSO) in each country. Each phone survey relied on a pre-COVID-19 household survey as a sampling frame, and except in the case of Burkina Faso, the sampling frame was the existing longitudinal face-to-face survey that has been supported by the LSMS. The presentation will share the design- and implementation-related experience to date; a summary of selected research based on longitudinal phone and face-to-face survey data; and future LSMS plans regarding data collection and methodological research pertaining to phone surveys/mixed mode data collection in longitudinal household surveys.
The Mexican Health and Aging Study (MHAS) follows a sample of adults aged 50 and older with national and urban/rural representation from Mexico (n~15,000). Wave 1 was completed in 2001 and wave 6 in 2021. Sample refreshers were added in 2012 and 2018 to once again represent adults aged 50 and older. MHAS is one of the sister studies of the U.S. Health and Retirement Study (HRS) and applies similar core survey protocols and instruments adapted to the Mexican context.
The study now supports ancillary studies, including sub-samples for physical performance, detailed cognitive function (applying the harmonized cognitive aging protocol HCAP), and with blood and saliva biomarkers for genetics, and hair for metal exposures. The study data bases have been linked to other data at the community level, including historical population census variables, health services census, air pollution from monitoring stations, mortality rates, and social programs enrollment.
The study is supported by the National Institute on Aging in the United States (grant AG018016) and the Statistical Bureau (INEGI) in Mexico. Data sets and documentation are available free of charge in www.MHASweb.org in English or [www.ENASEM.org (http://www.enasem.org/) in Spanish. The website includes a search engine for a list of more than 300 publications that have used the databases.
https://www.ifpri.org/publication/bangladesh-integrated-household-survey-bihs-2018-2019
https://www.census.gov/geo/maps-data/data/tiger.html
with this in mind.. https://github.com/davidbrae/swmap/issues/9
https://journal.r-project.org/archive/2016-2/walker.pdf
https://www.cdc.gov/nchs/slaits/cshcn.htm looks very similar in structure to nsch
http://www.cpsc.gov/en/Research--Statistics/NEISS-Injury-Data/
https://www.mtusdata.org/mtus-action/samples
https://www.insee.fr/fr/statistiques/2415511
https://g2aging.org/survey-overview https://g2aging.org/index.php?section=page&pageid=18
https://ropercenter.cornell.edu/ipoll/study/31115615 https://ropercenter.cornell.edu/ https://cedatos.com/
https://www.federalreserve.gov/consumerscommunities/shed.htm
https://afhs.isr.umich.edu/about-the-study/news/
https://ihds.umd.edu/ round 3 expected late 2024
https://stackoverflow.com/questions/76683422/how-to-make-properly-designed-survey-objects
https://www.huduser.gov/portal/pumd/index.html
https://www.huduser.gov/portal/pdrdatas_landing.html#dataset-title
the public housing program building shapefile and [email protected] has analyzed this and created a map
https://hudgis-hud.opendata.arcgis.com/datasets/HUD::public-housing-buildings-2/about
https://datacommons.cancer.gov/data/key-datasets
Hello SEER*Stat Users,
We have just released US Mortality databases including 2015 deaths and Vintage 2016 US Population databases in SEERStat. All Client-Server users now have access to these data within SEERStat.
The new databases are not currently linked to any county attribute data. New county attribute data will be made available soon and will be linked to the county-level mortality and population databases. This will include a new set of time-dependent county attributes, which will include a Yost SES index score. Client-server users access will automatically be updated when the attributes are available. No email notification will be sent when this occurs.
The Vintage 2016 US population data (with populations through 2016) are also now available on the seer website: https://seer.cancer.gov/popdata/.
Lastly, within the next week, two new standards for age-adjustment will automatically be added for all users in client-server mode. These are the 2011 Canadian Standard Population and the European (EU-27 plus EFTA 2011-2030) Std Million.
Regards, Steve
SEER*Stat Technical Support IMS, Inc. [email protected]
http://www.cas.miamioh.edu/statsandstories/archives44.html
http://hrms.urban.org/survey-instrument/index.html
http://users.nber.org/~taxsim/
https://dupri.duke.edu/research/center-monitoring-indian-economy-cmie-data
https://hishes.wiv-isp.be/index.php?hishes=home
http://www.rand.org/pubs/tools.html
datasets to add are https://nces.ed.gov/training/datauser/
more datasets to review at http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0158120
https://lehd.ces.census.gov/data/
https://www.loc.gov/rr/program/bib/elections/statistics.html
https://www.nhatsdata.org/Project/PubUseFiles.aspx
The National Health and Aging Trends Study (NHATS) is pleased to announce that Round 6 final data files are now available at www.nhatsdata.org. Updated Sample Person (SP), Other Person (OP), and Tracker files are available in both SAS and Stata formats. Updated documentation, including a revised User Guide, a technical paper on round 6 weights, revised crosswalk between the instruments and the codebook, and a crosswalk of changes from the beta to final version, can be found on our website http://www.nhats.org/.
possibly overlaps with hud -- https://www.huduser.gov/portal/datasets/usps.html