{"doc_desc":{"title":"United States Census of 1910","idno":"DDI_USA_1910_PHC_v01_M_v7.6_A_IPUMS","producers":[{"name":"IPUMS","abbr":"IPUMS","affiliation":"University of Minnesota","role":"Integration Harmonization Documentation"}],"prod_date":"April 1, 2025","version_statement":{"version":"Version 7.6 October 2025 : NEW FEATURES.\n\n--NO \"new features\" listed in Revision History\n\nNEW SAMPLES.\n\n--Six new census samples for Honduras (2013), Kenya (2019), Malawi (2018), Mongolia (2010, 2020), and Mozambique (2017) were added to the data series. All census samples extend pre-existing series for those countries. \n--91 quarterly labor force surveys from the Philippines (1997 - 2019) were added to IPUMS.\n\nSUPPLEMENTAL DATA.\n\n--No \"supplemental data\" listed in revision history\n\nNEW VARIABLES.\n\n--New spatially harmonized birthplace and previous-residence variables are available for samples in this data release. More information is available here (https:\/\/international.ipums.org\/international\/geo_mig.shtml). \n--Users should note that many older migration and birthplace variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. For birthplace variables refer to this table (https:\/\/international.ipums.org\/international\/resources\/misc_docs\/migCrosswalk_names.pdf).\n\nEDITED SAMPLES.\n\n--For the Zambia 2000 sample, an error in the household breaks was corrected, resulting in the creation of 1,988 new households (1% increase) that were previously combined with other households. The person records included in the sample did not change. Due to an inconsistency in the original file, no household-level information other than geographic location is available for these newly identified households, necessitating the addition of \"unknown\" values for this sample to the following variables: BEDROOMS, ELECTRIC, FLOOR, FUELCOOK, FUELHEAT, OWNERSHIP, PHONE, RADIO, REFRIG, ROOMS, SEWAGE, TRASH, WATSRC, TV, TOILET, GQ, ROOF, WATSUP, BIKE, MOTORCYCLE, KITCHEN, GQTYPE, AUTOS, and WALL.\n\nEDITED VARIABLES.\n\n--For the 1998 and 2008 Malawi samples, the family interrelationship pointer variables MOMLOC and POPLOC were modified to allow a \"Spouse\/partner\" of the household head to be linked as a parent to an \"Other relative\", because the enumeration instructions specify that adopted and stepchildren were categorized as \"Other relative\". These samples are now consistent with the links made in the newly released 2018 Malawi sample, which had the same enumeration instructions for adopted and stepchildren.\n--In the samples for C\u00f4te d'Ivoire 1988 and 1998, Rwanda 1991 and 2002, Togo 1960 and 2010, and South Africa 2001, for the harmonized variable POLYGAM, persons in consensual unions were previously coded as \"No, in monogamous union\". Because there was no response option in these samples for polygamous consensual unions, it is more appropriate to treat these cases as not-in-universe, so they have been recoded to \"NIU (not in universe)\".\n--MARST has been edited for Honduras 1974 to reclassify the source variable responses \"married, wife lives separately\" and \"consensual union, companion lives separately\" as separations. The documentation suggests that \"separately\" actually indicates a relationship separation and not an absent spouse or companion. Other minor edits were implemented for MARST for Mozambique 1997 and 2007.\n--In the Mozambique 1997 sample, an error was corrected that recoded persons with a relationship of \"Unknown\" in the source data to \"Other relative or non-relative\" (6000) in the harmonized variable RELATE. These persons are now coded as \"Not Stated\/Unknown\" (9999).\n--In the Malawi 1987, 1998, and 2008 samples, for variable WATSUP, a programming error was corrected such that any households who reported having piped water in either the wet or the dry season are classified as having access to piped water. This programming was also applied to the newly released 2018 sample.\n--The NATIVITY variable has been edited in the Chile 2017 sample to correct a programming error that mistakenly classified as foreign-born about 20 thousand person records that were actually native-born.\n--The MIGRATE5 variable has been edited in the Chile 2017 sample, given a programming error that classified most migrants as having changed their major geographic unit. The MIGRATE5 variable for the Chile 1982 and 1992 samples has been edited to use spatially harmonized geographic units to calculate migration status.\n--In the 1989, 1999, and 2009 Kenya samples, households who indicated that their lighting type or fuel was \"Solar\" were recoded from \"No\" to \"Yes\" in ELECTRIC, based on secondary sources documenting the spread of home solar energy systems in Kenya beginning in the mid-1980s. In the 1989 and 1999 Kenya samples, programming was removed that previously recoded households that reported using electricity as their main cooking fuel to \"Yes\" in the access to electricity variable ELECTRIC, making it more consistent across samples. Other minor edits were implemented for ELECTRIC in Botswana 2011, Ethiopia 1984 and 1994, Mongolia 1989, Mozambique 2007.\n--Some samples in DISCARE classified responses indicating \"some\" difficulty into \"yes\". These cases were revised to consistently include in \"yes\" only responses indicating \"a lot of difficulty\" or \"cannot do at all\".\n--Some codes were improperly labeled for municipalities in Honduras 1961 and 1974, which affect variables on place of residence, birthplace, and previous residence."}},"study_desc":{"title_statement":{"idno":"USA_1910_PHC_v01_M_v7.6_A_IPUMS","title":"United States Census of 1910 - IPUMS Subset","alternate_title":"PHC us1910a (IPUMS Harmonized Subset)"},"authoring_entity":[{"name":"Department of Commerce and Labor, Bureau of the Census","affiliation":""},{"name":"IPUMS","affiliation":"University of Minnesota"}],"production_statement":{"copyright":"(c) Copyright 1910, Department of Commerce and Labor, Bureau of the Census and Minnesota Population Center"},"distribution_statement":{"contact":[{"name":"Department of Commerce and Labor, Bureau of the Census","affiliation":"","email":"","uri":""}]},"series_statement":{"series_name":"Population and Housing Census [hh\/popcen] IPUMS International","series_info":"DOI:10.18128\/D020.V7.6"},"version_statement":{"version":"Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database.","version_date":"2025-05-09"},"study_info":{"topics":[{"topic":"Demographic Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Nativity and Birthplace Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Fertility and Mortality Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Geography: Global Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Work Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Technical Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Geography: O-Z Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Disability Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Group Quarters Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Constructed Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Ethnicity and Language Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Education Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Other Person Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Technical Person Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Other Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Technical Person Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Technical Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Geography: O-Z Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Group Quarters Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Constructed Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Other Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Demographic Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Demographic Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Ethnicity and Language Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Nativity and Birthplace Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Education Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Work Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Disability Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Other Person Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Technical Person Variables -- PERSON","vocab":"IPUMS","uri":""}],"time_periods":[{"start":"1910-04-15","end":"1910-04-15","cycle":""}],"coll_dates":[{"start":"1910-04-10","end":"1910-04-10","cycle":""}],"nation":[{"name":"United States of America","abbreviation":"USA"}],"geog_unit":"County","analysis_unit":"Persons, households, and dwellings\n        \nUNITS IDENTIFIED:\n- Dwellings: yes\n- Vacant Units: No\n- Households: yes\n- Individuals: yes\n- Group quarters: yes\n\nUNIT DESCRIPTIONS:\n- Dwellings: A place in which, at the time of the census, one or more persons regularly sleep. It may be a room in a factory, store or office building, a loft over a stable, a canal boat, tent, or a wigwam. A building like a tenement or apartment house, if it has only one front door, counts as only one dwelling house, no matter how many persons or families live in it. But one building with a partition wall through it and a front door for each of the two parts, counts as two dwelling houses. So in a block of houses there are as many dwelling-houses as front doors.\u00a0\n- Households: A group of persons living together in the same dwelling place. The persons constituting this group may or may not be related by ties of kinship, but if they live together forming one household they should be considered as one family. Thus a servant who sleeps in the house or on the premises should be included with the members of the family for which he or she works. A boarder or lodger should be included with the members of the family with which he lodges, but a persons who boards in one place and lodges or rooms at another should be returned as a member of the family at the place where he lodges or rooms.\u00a0\n- Group quarters: Yes","universe":"All persons living in the United States. Native Americans living on reservations or under tribal rule were enumerated using a separate schedule.","data_kind":"Population and Housing Census [hh\/popcen]","notes":"Additional notes on a sample that is part of this study:  United States 1910 (1%)"},"method":{"data_collection":{"sampling_procedure":"MICRODATA SOURCE: Department of Commerce and Labor, Bureau of the Census\n\nSAMPLE SIZE (person records): 923153.\n\nSAMPLE DESIGN: 1-in-100 national random sample of the population, including Alaskans, Hawaiians, and persons enumerated on the American Indians schedules.","coll_mode":["Face-to-face [f2f]"],"research_instrument":"The census operation involved six schedules.  Schdule 1 was used to enumerate the population and collected information on individual characteristics.  Other schedules were used to enumerate the Native American population, and record information on agriculture and livestock.","sources":[{"name":"","origin":"","characteristics":""}],"coll_situation":"de jure, CENSUS DAY: April 15, 1910","weight":"Self-weighting (expansion factor=100)"}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved.\n\nTo gain access to the data, a researcher must agree to the following:\n\n(1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited.\n\n(2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture.\n\n(3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited.\n\n(4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies.\n\nOnce a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes.\n\nThese safeguards mirror the principles from the Joint ECE\/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data.\n\nIPUMS International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS International uses a variety of technical procedures to enhance confidentiality protection. These include the following:\n\n(1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible.\n\n(2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed.\n\n(3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories)\n\n(4) Top- and bottom-coding continuous variables to prevent identification of extreme cases.\n\nThe safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS International are designed to extend this record.","required":"yes","form_no":"","form_uri":""}],"contact":[{"name":"Department of Commerce and Labor, Bureau of the Census","affiliation":"","email":"","uri":""}],"cit_req":"Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee, and Nate Merrill. Integrated Public Use Microdata Series, International: Version 7.6 [dataset]. Minneapolis, MN: IPUMS, 2025. https:\/\/doi.org\/10.18128\/D020.V7.6\n\nResearchers should also acknowledge the statistical agency that originally produced the data: United States of America, Department of Commerce and Labor, Bureau of the Census. United States Census of 1910\n\n\nThe licensing agreement for use of IPUMS International data requires that users supply IPUMS International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation.\n\nCopies of such materials are also gratefully received at ipums@umn.edu.\n\nPrinted matter should be sent to:\nIPUMS International\nMinnesota Population Center\nUniversity of Minnesota\n50 Willey Hall\n225 19th Avenue South\nMinneapolis, MN 55455","conditions":"An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https:\/\/international.ipums.org\/international\/) under the following conditions:\n\nIPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved.  To gain access to the data, a researcher must agree to the following:\n\n(1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited.\n\n(2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture.\n\n(3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited.\n\n(4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies.\n\nOnce a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes.\n\nThese safeguards mirror the principles from the Joint ECE\/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data.","disclaimer":"The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}},"tags":[{"tag":"NODOI"}],"schematype":"survey"}