By Derek Burk, Lara Cleveland, Jane Lee, Rodrigo Lovaton, and Sula Sarkar
Great news for IPUMS International (IPUMSI) users! Our ever-expanding census and survey data collection has just released new harmonized census samples from Honduras (2013), Kenya (2019), Malawi (2018), Mongolia (2010, 2020), and Mozambique (2017). We now have an average of 4.5 censuses per country. The Kenya census collection now spans 50 years!
This release also includes a large series of quarterly Labor Force Surveys from the Philippines (1997-2019). The 91 waves of the Philippines Labor Force Survey contain a total of 18 million person records.
Many thanks to the National Statistical Office partners in these countries for their ongoing contributions.
This latest data release also includes some of the least and most densely-populated regions in the whole IPUMSI collection. The 2010 Mongolia census sample records only about one person for every three square kilometers (or about one per square mile) in the Umnugobi Province — that is the 48th least-densely-populated region among the 17,000 first-level administrative region-by-sample estimates in the IPUMSI collection. On the other end of the distribution, the 2018 Q4 Philippines Labor Force Survey’s population density estimate for the Manila Province is the highest in the entire IPUMS International collection among first-level administrative regions, coming in at just over 48,000 people per square kilometer (125,000 per square mile) — that is one person for every 20 square meters! Did you know that these population density figures are easily available – POPDENSGEO1 and POPDENSGEO2 are calculated by IPUMS staff and available for download with your data extract.
Along with the new samples, IPUMS now provides harmonized migration variables coded to match the corresponding harmonized place-of-residence variables. The variables are available at the first and second administrative levels of geography for all available samples. The work to develop spatially harmonized birthplace variables is ongoing. At this time, harmonized birthplace codes matching place of residence codes are only available for a few samples. Learn more about harmonized migration and birthplace variables via IPUMS.
As you incorporate these new data into your work, be sure to let us know about your resulting research, findings, and policies. National Statistical Offices are eager to know how their countries’ data are being used. Upload a citation for your #poweredbyIPUMS work, or email us today at ipums@umn.edu.