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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: Its Potential for National and Cross-National Research on Aging

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.

bangladesh integrated household survey

https://www.ifpri.org/publication/bangladesh-integrated-household-survey-bihs-2018-2019

census tiger shapefiles

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

national survey of children with special health care needs

https://www.cdc.gov/nchs/slaits/cshcn.htm looks very similar in structure to nsch

national electronic injury surveillance system (neiss)

http://www.cpsc.gov/en/Research--Statistics/NEISS-Injury-Data/

european time use surveys

https://www.mtusdata.org/mtus-action/samples

enquete emploi en continu

https://www.insee.fr/fr/statistiques/2415511

understanding america study

global aging studies

https://g2aging.org/survey-overview https://g2aging.org/index.php?section=page&pageid=18

the family history of incarceration survey and perhaps others from cornell

https://ropercenter.cornell.edu/ipoll/study/31115615 https://ropercenter.cornell.edu/ https://cedatos.com/

shed

https://www.federalreserve.gov/consumerscommunities/shed.htm

american family health study

https://afhs.isr.umich.edu/about-the-study/news/

india human development survey

https://ihds.umd.edu/ round 3 expected late 2024

dominican republic central bank survey of income & expenses

https://stackoverflow.com/questions/76683422/how-to-make-properly-designed-survey-objects

https://cdn.bancentral.gov.do/documents/estadisticas/encuesta-de-gastos-e-ingresos/documents/ENGIH_2018.pdf?v=1689359502661

microsoft open research datasets

https://www.microsoft.com/en-us/research/blog/announcing-microsoft-research-open-data-datasets-by-microsoft-research-now-available-in-the-cloud/

hud pums

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 anusha.ban@slu.edu has analyzed this and created a map

https://hudgis-hud.opendata.arcgis.com/datasets/HUD::public-housing-buildings-2/about

seer

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. seerstat@imsweb.com

review agricultural surveys

http://www.cas.miamioh.edu/statsandstories/archives44.html

urban hrms

http://hrms.urban.org/survey-instrument/index.html

eurobarometer public opinion microdata

http://ec.europa.eu/COMMFrontOffice/PublicOpinion/index.cfm/Survey/getSurveyDetail/instruments/STANDARD/surveyKy/2098

taxsim

http://users.nber.org/~taxsim/

consumer pyramids survey of india

http://www.icpsr.umich.edu/icpsrweb/DSDR/studies/36782?utm_source=Ann&utm_medium=FB-TW&utm_campaign=CPS2014-release

https://dupri.duke.edu/research/center-monitoring-indian-economy-cmie-data

british constituency dataset

European Health Interview & Health Examination Surveys Database

https://hishes.wiv-isp.be/index.php?hishes=home

rand surveys

http://www.rand.org/pubs/tools.html

nces surveys

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

bjs public surveys

employer-household dynamics

https://lehd.ces.census.gov/data/

election & polling datasets (both surveys & state microdata)

https://www.loc.gov/rr/program/bib/elections/statistics.html

national health & aging trends study

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/.

USPS data - everything available from the postal service

possibly overlaps with hud -- https://www.huduser.gov/portal/datasets/usps.html

Home

reverted publications

National Longitudinal Survey of Public Health Systems

national agricultural workers survey

Household Finance and Consumption Survey (HFCS)

knhanes

National Survey of Organ Donation Attitudes and Practices

future of families & child wellbeing study

Survey of Working Arrangements and Attitudes

pregnancy risk assessment monitoring system

wikitext-103 dataset

National Data archive on child abuse and neglect

Generations and Gender Survey

national youth tobacco survey

california healthy kids survey

National Study of Long-Term Care Providers

https://dataverse.unc.edu/

two surveys from the National Sample Survey Organization

national study of caregiving

national household food acquisition & purchase survey

national ambulatory care data (namcs/nhamcs)

Health Information National Trends Survey (HINTS)

baby's first years study project

fdic national survey of underbanked & unbanked

german longitudinal election study (gles)

peru national household survey on living conditions and poverty (enaho)

zambian living conditions monitoring survey (lcms)

comparative study of electoral systems (module 5)

italian household survey: istat

us census demographic high frequency surveys

national survey of college graduates

brazil mortality information system

spanish survey of household finances

nepal chitwan valley family study

uruguay: continuous household survey (chs)

review nassda for additional datasets

annual survey of refugees

cnef cross national equivalent file

the world bank's Living Standards Measurement Study: High-Frequency Phone Surveys