How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. This is part 2 of 2 (containing: Purchasing Decisions; Washer and Dryer; and Miscellaneous); part 1 (https://data.ny.gov/d/e58s-chjh) contains: Property Characteristics; Heating and Cooling; Water Heating; Tenant Appliances; Lighting; and Common Area. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes data from 219 completed Multifamily owner and manager surveys. The types of data collected during the survey cover property characteristics, heating and cooling equipment, water heating equipment, tenant appliances, lighting, purchasing decision, common areas, clothes washing and drying, and miscellaneous equipment. The data is segmented to cover both common space equipment and, to the degree possible, tenant-unit equipment, such as refrigerators or clothes washers that are included in the rental by the building ownership.

This statistic shows the results of a Statista survey among Americans in 2017 about the relationship to their mother. During the survey, approximately 56 percent of respondents stated that their relationship with their mother is very good.

How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes data collected from a total of 67 on-site inspections of multifamily buildings. Data collected during the inspections covers property characteristics, heating and cooling equipment, water heating equipment, appliances, lighting, clothes washing and drying, miscellaneous energy using equipment, and observable operating behavior. The objective of the on-site inspections was to enhance the residential baseline study with detailed on-site information and, to the degree possible, verify self-reported data from the phone and web surveys. The on-site inspection data is segmented to cover both common space equipment and tenant-unit equipment.

In a survey conducted by Milieu Insight on working women in Singapore conducted on April 2024, ** percent of working mothers sometimes felt compelled to cover their identity as a mother at work. In comparison, ** percent stated that they never felt that they had to cover their identity as a mother when at work.

United States Employment: Non Farm Payroll: sa: MoM data was reported at 177.000 Person th in Apr 2025. This records a decrease from the previous number of 228.000 Person th for Mar 2025. United States Employment: Non Farm Payroll: sa: MoM data is updated monthly, averaging 163.000 Person th from Feb 1939 (Median) to Apr 2025, with 1035 observations. The data reached an all-time high of 4,631.000 Person th in Jun 2020 and a record low of -20,471.000 Person th in Apr 2020. United States Employment: Non Farm Payroll: sa: MoM data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Employment Statistics: Employment: Non Farm Payroll: Seasonally Adjusted.

The Parent Ping research project began in July 2020 and ended in September 2021. The project aimed to document parental life, particular during the pandemic. Participants were recruited via opportunity sampling or via their children's school. Participants downloaded a mobile phone app which asked them roughly three closed survey questions each day.

Question topics included: lockdown, home learning (due to school closures), attitudes to vaccination, family life, home-school relationships etc. Demographic data were also collected from each participant including: their age, their gender, the number of children they have, the gender of their children, whether their child has a special educational need and whether their child is eligible to receive free school meals. In the time the project has run, data were collected from roughly 1,200 questions and around 3,000 UK parents.

About Parent Ping

Parent Ping was created by Education Intelligence, a company that since 2017 has run a daily survey app for teachers in England called Teacher Tapp. When schools closed for the majority of pupils during the 2020 covid pandemic there was a specific need to understand how parents were coping with home educating their children. Education Intelligence were able to secure a small grant from Big Change to replicate the software used to create Teacher Tapp in order to survey parents. The app they built was call Parent Ping.

Key features of the app were:

• It asked questions every day (yes, even Christmas Day)
• Respondents were able to view aggregated results of the previous day’s questions
• Respondents were also given a daily read about an aspect of parenting.

Parent Ping was live for just over a year, pivotally collecting data during the second national lockdown in early 2021.

Data analysis

Users should note that the individual questions are all included together in the variable 'questiontext' and the answers are in the variable 'answertext'. In order to analyse questions separately, data will need to be filtered/subset using the 'questionid' and 'answerid' variables. The data file contains 2,412,976 lines, which means the tab-separated format cannot be viewed successfully in Excel.

The National Household Education Survey, 2007 Parent and Family Involvement in Education (PFI-NHES:2007), is a study that is part of the National Household Education Survey (NHES) program. PFI-NHES:2007 (https://nces.ed.gov/nhes/) is a cross-sectional survey that collects data directly from households on educational issues. This study was conducted using address based sample, self-administered questionnaires of households. Households in 2007 were sampled. The study's response rate was 53.2 percent. Key statistics produced from PFI-NHES:2007 are parent involvement in education.

This statistic shows share of U.S. mothers who let their kids use their iPhone. 23 percent of 18-44 years old smartphone moms* state they let their kids use the iPhone for using educational content that has been downloaded for them beforehand.

This dataset contains results from the third wave of surveys sent to parents of twin pairs in 2016. In these surveys, parents were asked to rate themselves, their home, and their twins on various questionnaire measures including: family demographic measures (parent education, household income, etc.), home environmental measures (home literacy environment, family routines, CHAOS, etc.), family history (Colorado Learning Disabilities Questionnaire), and various behavioral measures (ADHD ratings, internalizing and externalizing behaviors, executive function, etc).

Analysis of ‘RSBS MOM: Multifamily On-Site Survey, Measure Level, New York State Residential Statewide Baseline Study’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/d63f4215-97e1-41ac-bc56-a1a3f89cce76 on 12 February 2022.

--- Dataset description provided by original source is as follows ---

How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.

The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes data collected from a total of 67 on-site inspections of multifamily buildings. Data collected during the inspections covers property characteristics, heating and cooling equipment, water heating equipment, appliances, lighting, clothes washing and drying, miscellaneous energy using equipment, and observable operating behavior. The objective of the on-site inspections was to enhance the residential baseline study with detailed on-site information and, to the degree possible, verify self-reported data from the phone and web surveys. The on-site inspection data is segmented to cover both common space equipment and tenant-unit equipment.

--- Original source retains full ownership of the source dataset ---

United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Inflation Survey: Breakeven Inflation: 5-Year data was reported at 4.767 % in 12 May 2025. This records a decrease from the previous number of 6.256 % for 05 May 2025. United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Inflation Survey: Breakeven Inflation: 5-Year data is updated weekly, averaging 2.759 % from Jan 2020 (Median) to 12 May 2025, with 277 observations. The data reached an all-time high of 27.973 % in 14 Jun 2021 and a record low of 0.053 % in 12 Jul 2021. United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Inflation Survey: Breakeven Inflation: 5-Year data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Employment: Non Farm Payroll.

This dataset contains results from the first wave of surveys sent to parents of twin pairs in 2012. Within said surveys, parents were asked to rate themselves, their home, and their twins on various questionnaire measures including: Twin Similarity Rating (TSR), family demographic measures (parent education, household income, etc.), home environmental measures (home literacy environment, family routines, CHAOS, etc.), family history (Colorado Learning Disabilities Questionnaire), and various behavioral measures (ADHD ratings, internalizing and externalizing behaviors, executive function, etc).

How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.

This is part 1 (containing: Property Characteristics; Heating and Cooling; Water Heating; Tenant Appliances; Lighting; and Common Areas) of 2; part 2 (https://data.ny.gov/d/hc4z-b2p5) contains: Purchasing Decisions; Washer and Dryer; and Miscellaneous. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes data from 219 completed Multifamily owner and manager surveys. The types of data collected during the survey cover property characteristics, heating and cooling equipment, water heating equipment, tenant appliances, lighting, purchasing decision, common areas, clothes washing and drying, and miscellaneous equipment. The data is segmented to cover both common space equipment and, to the degree possible, tenant-unit equipment, such as refrigerators or clothes washers that are included in the rental by the building ownership.

Graph and download economic data for Total One Parent Families with Children under 18 Years Old with Mother (OPFWCUMO) from 1950 to 2024 about 18 years +, family, child, household survey, and USA.

France BS: MS: sa: MoM Chg: Employment data was reported at 11.500 Balances in Nov 2018. This records an increase from the previous number of 10.180 Balances for Oct 2018. France BS: MS: sa: MoM Chg: Employment data is updated monthly, averaging 7.450 Balances from Oct 2002 (Median) to Nov 2018, with 194 observations. The data reached an all-time high of 15.390 Balances in Apr 2005 and a record low of -6.700 Balances in Oct 2002. France BS: MS: sa: MoM Chg: Employment data remains active status in CEIC and is reported by Bank of France. The data is categorized under Global Database’s France – Table FR.S014: Business Survey: Bank of France .

This is part 2 of 2 (containing: Purchasing Decisions; Washer and Dryer; and Miscellaneous); part 1 (https://data.ny.gov/d/e58s-chjh) contains: Property Characteristics; Heating and Cooling; Water Heating; Tenant Appliances; Lighting; and Common Area. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes data from 219 completed Multifamily owner and manager surveys. The types of data collected during the survey cover property characteristics, heating and cooling equipment, water heating equipment, tenant appliances, lighting, purchasing decision, common areas, clothes washing and drying, and miscellaneous equipment. The data is segmented to cover both common space equipment and, to the degree possible, tenant-unit equipment, such as refrigerators or clothes washers that are included in the rental by the building ownership.

In a survey conducted by Milieu Insight on working women in Singapore conducted on April 2024, ** percent of respondents felt that they had people around them who understood their difficulties as a working mom. On the other hand, ** percent wished more people in their lives understood the difficulties they faced as a working mother.

The folder contains datasets of parent surveys, including parents of primary school grade 2 students and parents of lower secondary school grade 7 students. The data was collected in Vietnam in 2018.

A national sample survey dataset covering a wide variety of issues on American family life beginning in 1987-88 and at two subsequent timepoints1992-93 and 2001-03. Topics covered included detailed household composition, family background, adult family transitions, couple interactions, parent-child interactions, education and work, health, economic and psychological well-being, and family attitudes. The first wave interviewed 13,017 respondents, including a main cross-section sample of 9,643 persons aged 19 and over plus an oversample of minorities and households containing single-parent families, step-families, recently married couples, and cohabiting couples. In each household, a randomly selected adult was interviewed. In addition, a shorter, self-administered questionnaire was filled out by the spouse or cohabiting partner of the primary respondent. Interviews averaged about 100 minutes, although interview length varied considerably with the complexity of the respondent''s family history. In 1992-94, an in-person interview was conducted of all surviving members of the original sample, the current spouse or cohabiting partner, and with the baseline spouse or partner in cases where the relationship had ended. Telephone interviews were conducted with focal children who were aged 5-12 and 13-18 at baseline. Short proxy interviews were conducted with a surviving spouse or other relative in cases where the original respondent died or was too ill to interview. A telephone interview was conducted with one randomly selected parent of the main respondent. In 2001-03, telephone interviews were conducted with: Surviving members of the original respondents who had a focal child age 5 or over at baseline; the baseline spouse/partner of these original respondents, whether or not the couple was still together; the focal children who were in the household and aged 5-18 at baselinemost of whom were interviewed at wave 2; and all other original respondents age 45 or older in 2000, and their baseline spouse/partner. Oversamples: Blacks, 9.2%; Mexican-Americans, 2.4%; Puerto Ricans, 0.7% * Dates of Study: 1987-2003 * Study Features: Longitudinal, Minority Oversampling * Sample Size (original respondents): ** Wave I (1987-88): 13,017 ** Wave II (1992-93): 10,007 ** Wave III (2001-03): 8,990 Links: * Wave I (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06041 * Wave II (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06906 * Wave III (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00171

Peru Macroeconomic Outlook Survey: Business Confidence Index: MoM: Order: Services data was reported at 62.143 Point in Mar 2025. This records an increase from the previous number of 53.425 Point for Feb 2025. Peru Macroeconomic Outlook Survey: Business Confidence Index: MoM: Order: Services data is updated monthly, averaging 52.239 Point from Jan 2010 (Median) to Mar 2025, with 183 observations. The data reached an all-time high of 70.833 Point in Jul 2010 and a record low of 14.516 Point in Apr 2020. Peru Macroeconomic Outlook Survey: Business Confidence Index: MoM: Order: Services data remains active status in CEIC and is reported by Central Reserve Bank of Peru. The data is categorized under Global Database’s Peru – Table PE.S001: Business Confidence Indicator.