Detailed household load and solar generation in minutely to hourly resolution. This data package contains measured time series data for several small businesses and residential households relevant for household- or low-voltage-level power system modeling. The data includes solar power generation as well as electricity consumption (load) in a resolution up to single device consumption. The starting point for the time series, as well as data quality, varies between households, with gaps spanning from a few minutes to entire days. All measurement devices provided cumulative energy consumption/generation over time. Hence overall energy consumption/generation is retained, in case of data gaps due to communication problems. Measurements were conducted 1-minute intervals, with all data made available in an interpolated, uniform and regular time interval. All data gaps are either interpolated linearly, or filled with data of prior days. Additionally, data in 15 and 60-minute resolution is provided for compatibility with other time series data. Data processing is conducted in Jupyter Notebooks/Python/pandas.

Data on households in Uganda from the census

Local Unit Population and HouseHold data of Rukum, harvested from Central Bureau of Statistics.

State-reported annual data collected on the presence of elderly, disabled, and young children in eligible households receiving Low Income Home Energy Assistance Program (LIHEAP) heating assistance, cooling assistance, crisis assistance or weatherization assistance.

The Rwanda Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in almost the entire country, including all four provinces and all of rural Rwanda. This dataset is a household-level file with records for each sampled household with a completed interview.

Local Unit Population and HouseHold data of Jhapa, harvested from CBS: http://cbs.gov.np/sectoral_statistics/population/Population%20of%20753%20Local%20Units

The Uganda Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in 38 districts across eight regions of the country. The PBS was conducted from October 25 to December 30, 2012. The overall objective of the survey is to provide baseline data on living standards, nutritional status, and women's empowerment in agriculture in the Zone Of Influence. This dataset is a household-level file with records for each sampled household with a completed interview.

This dataset identifies the number of individually-owned domestic wells, and the number of households relying upon domestic water supply in the state of California. The number of wells and households are summarized for each Public Land Survey System (PLSS) section. The well locations were determined from more than 635,000 scanned well-completion reports (WCRs) provided by the California Department of Water Resources in 2011. This is only a partial sample of the total number of WCRs (estimated at 1 to 2 million in total). The number of domestic wells was estimated based upon a spatially distributed and randomized survey that determined the Township Ratio (TR) for each township in the state (4,692 in total). Each township generally contains 36 sections (6 x 6). The total number of wells within a section was multiplied by the corresponding TR to estimate the number of domestic wells within each section. See the "TRatio" column in the attribute table. Each section within the same township will have the same Township Ratio. The domestic household data are from the 1990 US Census. These data were provided at the census tract level and were subsequently aggregated to PLSS sections that contained a domestic well. In the case where census tract data identified households using domestic supply, but there were no domestic wells within the tract, the household data were distributed evenly to all sections within the tract. In San Luis Obispo County, the scanned WCRs were incomplete. Therefore, a surrogate method was used. The total number of households reported by the 1990 census did not change; only the distribution of where those households existed within the tract changed. A WCR was considered an individually-owned domestic well if the primary use of the well was identified as being domestic, the owner was an individual, and the well was not destroyed as of 1990. See the larger body work (Johnson and Belitz 2015) for more details.

Local Unit Population and HouseHold data of Gulmi, harvested from Central Bureau of Statistics.

This dataset contains the data describing the households interviewed for the first interim survey for monitoring progress made by the Feed the Future (FTF) program in Nepal. The file contains one record per household including data from Modules A, D, and F. This dataset is associated with the data asset for the first interim survey for monitoring progress made by the Feed the Future (FTF) program in Nepal. The data asset is comprised of 7 datasets: households, household members, women, children and the three daatsets needed to calculate the women’s empowerment in agriculture index.

The baseline survey in Tajikistan captures data in the Feed the Future Zones of Influence (ZOI), comprised of 12 of the 24 districts in Khatlon province. A total of 2,000 households in the ZOI were surveyed for the PBS data collection activity. These households are spread across 100 standard enumeration areas in the targeted districts. The survey is comprised of ten CSV files: a children's file, a household-level file, a household member level file, a women's file, several files describing consumption, and two files used to construct the Women's Empowerment in Agriculture Index. This file reports survey results related to households.

Abstract copyright UK Data Service and data collection copyright owner. The English Housing Survey 2012-2013 Household Data Teaching Dataset is based on the English Housing Survey, 2012-2013: Household Data (held under SN 7512) and constitutes real data which are used by the Department for Communities and Local Government and are behind many headlines. The teaching dataset is a subset which has been subjected to certain simplifications and additions for the purpose of learning and teaching. The main differences are:the number of variables has been reducedweighting has been simplifieda reduced codebook is providedFurther information is available in the study documentation which includes a dataset user guide. Information about other teaching resources and datasets can be found on the Teaching resources webpage. Main Topics: The main topics covered are:housing characteristicshousehold characteristicssatisfaction with the home and local area Multi-stage stratified random sample Face-to-face interview Compilation or synthesis of existing material The EHS is collected by a face-to-face interview but the teaching dataset has been created by simplifying and altering the original data.

Local Unit Population and HouseHold data of Rautahat, harvested from CBS

The baseline survey in Tajikistan captures data in the Feed the Future Zones of Influence (ZOI), comprised of 12 of the 24 districts in Khatlon province. A total of 2,000 households in the ZOI were surveyed for the PBS data collection activity. These households are spread across 100 standard enumeration areas in the targeted districts. The survey is comprised of ten CSV files: a children's file, a household-level file, a household member level file, a women's file, several files describing consumption, and two files used to construct the Women's Empowerment in Agriculture Index. This file reports survey results related to households.

China Household Survey (HS): Rural: Number of Household data was reported at 73,750.000 Unit in 2012. This records an increase from the previous number of 73,630.000 Unit for 2011. China Household Survey (HS): Rural: Number of Household data is updated yearly, averaging 67,898.000 Unit from Dec 1985 (Median) to 2012, with 28 observations. The data reached an all-time high of 73,750.000 Unit in 2012 and a record low of 66,642.000 Unit in 1985. China Household Survey (HS): Rural: Number of Household data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under Global Database’s China – Table CN.HC: No of Household Surveyed: Rural.

This dataset (n=1,139, vars=92) is a household-level file, and thus contains records for each sampled household with a completed interview in the Mozambique 2015 ZOI Interim Survey. The unique identifier for this file is pbs_id, and the dataset includes variables from Modules A, D, and F. Please note that all key household- level derived variables are also included in the household dataset (e.g., disaggregate variables such as household size [“hhsize”] and indicator variables such as household hunger [“hhhunger”], etc.). These derived household-level variables can be merged onto other datasets as needed using the unique household identifier, pbs_id.

Origin Destination Survey 2017 - Household Data
This dataset falls under the category Raw Mobility Data.
It contains the following data: Refers to the variables that characterise travel in the Aburra Valley obtained through the Origin Destination Survey carried out by the Metropolitan Area of the Aburra Valley in 2017.
This dataset was scouted on 2022/01/24 as part of a data sourcing project conducted by TUMI. License information might be outdated: Check original source for current licensing. The data can be accessed using the following URL / API Endpoint: https://datosabiertos.metropol.gov.co/dataset/encuesta-origen-destino-2017-datos-por-viajes

Abstract

The Integrated Public Use Microdata Series (IPUMS) Complete Count Data include more than 650 million individual-level and 7.5 million household-level records. The microdata are the result of collaboration between IPUMS and the nation’s two largest genealogical organizations—Ancestry.com and FamilySearch—and provides the largest and richest source of individual level and household data.

Before Manuscript Submission

All manuscripts (and other items you'd like to publish) must be submitted to

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For more information about how to cite PHS and PHS datasets, please visit:

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Documentation

Historic data are scarce and often only exists in aggregate tables. The key advantage of historic US census data is the availability of individual and household level characteristics that researchers can tabulate in ways that benefits their specific research questions. The data contain demographic variables, economic variables, migration variables and family variables. Within households, it is possible to create relational data as all relations between household members are known. For example, having data on the mother and her children in a household enables researchers to calculate the mother’s age at birth. Another advantage of the Complete Count data is the possibility to follow individuals over time using a historical identifier.

In sum: the historic US census data are a unique source for research on social and economic change and can provide population health researchers with information about social and economic determinants.

The historic US 1920 census data was collected in January 1920. Enumerators collected data traveling to households and counting the residents who regularly slept at the household. Individuals lacking permanent housing were counted as residents of the place where they were when the data was collected. Household members absent on the day of data collected were either listed to the household with the help of other household members or were scheduled for the last census subdivision.

Notes

• We provide household and person data separately so that it is convenient to explore the descriptive statistics on each level. In order to obtain a full dataset, merge the household and person on the variables SERIAL and SERIALP. In order to create a longitudinal dataset, merge datasets on the variable HISTID.

• Households with more than 60 people in the original data were broken up for processing purposes. Every person in the large households are considered to be in their own household. The original large households can be identified using the variable SPLIT, reconstructed using the variable SPLITHID, and the original count is found in the variable SPLITNUM.

• Coded variables derived from string variables are still in progress. These variables include: occupation and industry.

• Missing observations have been allocated and some inconsistencies have been edited for the following variables: SPEAKENG, YRIMMIG, CITIZEN, AGE, BPL, MBPL, FBPL, LIT, SCHOOL, OWNERSHP, MORTGAGE, FARM, CLASSWKR, OCC1950, IND1950, MARST, RACE, SEX, RELATE, MTONGUE. The flag variables indicating an allocated observation for the associated variables can be included in your extract by clicking the ‘Select data quality flags’ box on the extract summary page.

• Most inconsistent information was not edited for this release, thus there are observations outside of the universe for some variables. In particular, the variables GQ, and GQTYPE have known inconsistencies and will be improved with the next release.

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Section 2

This dataset was created on 2020-01-10 18:46:34.647 by merging multiple datasets together. The source datasets for this version were:

IPUMS 1920 households: This dataset includes all households from the 1920 US census.

IPUMS 1920 persons: This dataset includes all individuals from the 1920 US census.

IPUMS 1920 Lookup: This dataset includes variable names, variable labels, variable values, and corresponding variable value labels for the IPUMS 1920 datasets.

China Household Survey (HS): Urban: Number of Household data was reported at 65,981.000 Unit in 2012. This records an increase from the previous number of 65,655.000 Unit for 2011. China Household Survey (HS): Urban: Number of Household data is updated yearly, averaging 39,562.000 Unit from Dec 1985 (Median) to 2012, with 28 observations. The data reached an all-time high of 65,981.000 Unit in 2012 and a record low of 24,338.000 Unit in 1985. China Household Survey (HS): Urban: Number of Household data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under Global Database’s China – Table CN.HC: No of Household Surveyed: Urban.

This dataset provides values for HOUSEHOLD reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.