The National Longitudinal Study of Adolescent to Adult Health (Add Health) Parent Study Public Use collection includes data gathered as part of the Add Health longitudinal survey of adolescents. The original Add Health survey is a longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-1995 school year. In Wave 1 of the Add Health Study (1994-1995), a parent of each Add Health Sample Member (AHSM) was interviewed. The Add Health Parent Study gathered social, behavioral, and health survey data in 2015-2017 from the parents of Add Health Sample members who were originally interviewed at Wave 1 (1994-1995). Wave 1 Parents were asked about their adolescent children, their relationships with them, and their own health. The Add Health Parent Study interview is a comprehensive survey of Add Health parents' family relations, education, religious beliefs, physical and mental health, social support, and community involvement experiences. In addition, survey data contains cognitive assessments, a medications log linked to a medications database lookup table, and household financial information collection. The survey also includes permission for administrative data linkages and includes data from a Family Health History Leave-Behind questionnaire. Interviews were conducted with parents' spouse/partner when available. Research domains targeted in the survey and research questions that may be addressed using the Add Health Parent Study data include: Health Behaviors and Risks Many health conditions and behaviors run in families; for example, cardiovascular disease, obesity and substance abuse. How are health risks and behaviors transmitted across generations or clustered within families? How can we use information on the parents' health and health behavior to better understand the determinants of their (adult) children's health trajectories? Cognitive Functioning and Non-Cognitive Personality Traits What role does the intergenerational transmission of personality and locus of control play in generating intergenerational persistence in education, family status, income and health? How do the personality traits of parents and children, and how they interact, influence the extent and quality of intergenerational relationships and the prevalence of assistance across generations? Decision-Making, Expectations, and Risk Preferences Do intergenerational correlations in risk preferences represent intergenerational transmission of preferences? If so, are the transmission mechanisms a factor in biological and environmental vulnerabilities? Does the extent of genetic liability vary in response to both family-specific and generation-specific environmental pressures? Family Support, Relationship Quality and Ties of Obligation How does family complexity affect intergenerational obligations and the strength of relationship ties? As parents near retirement: What roles do they play in their children's lives and their children in their lives? What assistance are they providing to their adult children and grandchildren? What do they receive in return? And how do these ties vary with divorce, remarriage and familial estrangement? Economic Status and Capacities What are the economic capacities of the parents' generation as they reach their retirement years? How have fared through the wealth and employment shocks of the Great Recession? Are parents able to provide for their own financial need? And, do they have the time and financial resources to help support their children and grandchildren and are they prepared to do so?

Add Health Parent Study (2015-2017) gathered social, behavioral, and health survey data in 2015-2017 on a probability sample of the "https://addhealth.cpc.unc.edu/" Target="_blank">Add Health parents who were originally interviewed in 1995. Data for 2,013 Wave I parents, ranging in age from 50-80 years and representing 2,244 Add Health sample members, are available. Add Health Parent Study Wave I Parents were the biological, adoptive, or stepparent of an Add Health child; not deceased or incarcerated at the time of Parents (2015-2017) sampling; and had at least one Add Health child who is also not deceased at the time of Parents (2015-2017) sampling. The Add Health Parent Study interview also gathered survey data on the current cohabiting Spouse or Partner of Wave I Parents who completed the interview. Nine hundred eighty-eight (988) current Spouse/Partner interviews are available. These data can be linked with Wave I parent data, and corresponding Add Health respondents at Waves I - V.

The Add Health Parent Study (2015-2017) interview is a comprehensive survey of Add Health parents' family relations, education, religious beliefs, physical and mental health, social support, and community involvement experiences. In particular, the study was designed to improve the understanding of the role that families play through socioeconomic channels in the health and well-being of the older, parent generation and that of their offspring. This unique data set supports the analyses of intergenerational transmissions of (dis)advantage that have not been possible to date. Add Health Parent Study data permits the examination of both short-term and long-term linkages and interactions between parents and their adult children.

For more information, please visit the Add Health Parent Study official website "https://addhealth.cpc.unc.edu/about/#studies-satellite" Target="_blank">here.

This file contains the weights for analysis of Add Health child-level data. The name of the file is "p2ahwgt" on official Add Health "https://www.cpc.unc.edu/projects/addhealth/documentation/restricteduse/datasets#parent_study_files" Target="_blank"> data documentation .

The National Longitudinal Study of Adolescent to Adult Health (Add Health) is a longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-95 school year. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent in 2008, when the sample was aged 24-32*. Add Health combines longitudinal survey data on respondents’ social, economic, psychological and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. Wave III The Wave III public use data are helpful in analyzing the transition between adolescence and young adulthood. A total of 4,882 of the original Wave I public-use respondent sample were re-interviewed between August 2001 and April 2002. Wave III respondents were between 18 and 26 years old. The Wave III public use dataset includes the following data files: Main Respondent File: includes the In-Home Questionnaire data, grand sampling weights, AHP VT scores, and biospecimen data for 4,882 respondents Relationship Table File Pregnancy Table File Relationship Detail File Completed Pregnancies File Current Pregnancies File Live Births File Children and Parenting File Education Data *17 respondents in the Wave IV public use sample were 33 years old at the time of the interview.

The "https://addhealth.cpc.unc.edu/" Target="_blank">National Longitudinal Study of Adolescent to Adult Health (Add Health) is a longitudinal study of a nationally representative sample of adolescents in grades seven through 12 in the United States. The Add Health cohort has been followed into adulthood (ages 31-42). Add Health combines longitudinal survey data on respondents' social, economic, psychological and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fifth wave of data collection includes social and environmental data and continues to include biological data, like the fourth wave. This data file collects information on weights for Wave V.

For more complete information on the Add Health studies, please refer to the "https://addhealth.cpc.unc.edu/documentation/" Target="_blank">study's documentation.

Longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-95 school year. Public data on about 21,000 people first surveyed in 1994 are available on the first phases of the study, as well as study design specifications. It also includes some parent and biomarker data. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent in 2008, when the sample was aged 24-32. Add Health combines longitudinal survey data on respondents social, economic, psychological and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. The restricted-use contract includes four hours of free consultation with appropriate staff; after that, there''s a fee for help. Researchers can also share information through a listserv devoted to the database.

The National Longitudinal Study of Adolescent Health (Add Health) is a longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-1995 school year. Add Health combines longitudinal survey data on respondents' social, economic, psychological and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. Public-use biomarker data has been added.

Data is available from four instruments in Wave I (conducted from September 1994 through December 1995), two surveys in Wave II (conducted from April 1996 through August 1996), several sources in Wave III (collected from August 2001 through April 2002), and one in-home interview in Wave IV (conducted from January 2008 through February 2009). Data from Wave V, conducted during 2016-2018 as a mixed-mode survey to collect information on health status and indicators of chronic disease, is available upon application approval only.

Abstract (en): The National Longitudinal Study of Adolescent Health (Add Health) is a longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-1995 school year. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent in 2008, when the sample was aged 24-32. Add Health combines longitudinal survey data on respondents' social, economic, psychological, and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. This component of the Add Health restricted data is the Biomarker Data. The Glucose/HbA1c data file contains two measures of glucose homeostasis based on assays of the Wave IV dried blood spots: Glucose (mg/dl) and Hemoglobin A1c (HbA1c, %). Six additional constructed measures -- fasting duration, classification of fasting glucose, classification of non-fasting glucose, classification of HbA1c, diabetes medication, and a joint classification of glucose, HbA1c, self-reported history of diabetes, and anti-diabetic medication use -- are also included. The Lipids data file contains measures of triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol, and total cholesterol to high-density lipoprotein cholesterol ratio. Additional variables include, measurement method for triglycerides (TG), total cholesterol (TC), high-density lipoprotein choleserol (HDL-C), Antihyperlipidemic medication use, joint classification of self-reported history of Hyperlipidemia and Antihyperlipidemic medication use, and fasting duration. For more information, please see the study website. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Standardized missing values.; Checked for undocumented or out-of-range codes.. Adolescents in grades 7-12 and their families. Wave I, Stage 1 School sample: stratified, random sample of all high schools in the United States. A school was eligible for the sample if it included an 11th grade and had a minimum enrollment of 30 students. A feeder school, a school that sent graduates to the high school and that included a 7th grade, was also recruited from the community. Wave I, Stage 2: An in-home sample of 27,000 adolescents was drawn consisting of a core sample from each community plus selected special over samples. Eligibility for over samples was determined by an adolescent's responses on the In-School Questionnaire. Adolescents could qualify for more than one sample. In addition, parents were asked to complete a questionnaire about family and relationships. The Wave II in-home interview sample is the same as the Wave I in-home interview sample, with a few exceptions. Information about neighborhoods/communities was gathered from a variety of previously published databases. Wave III: The in-home Wave III sample consists of Wave I respondents who could be located and re-interviewed six years later. Wave III also collected High School Transcript Release Forms as well as samples of urine and saliva. 2013-11-14 Public release of documentation guides and codebooks.2013-11-07 Part 4 was added and it includes new Biomarker Lipid Data.2013-03-08 Part 2 was updated following a resupply of the data by the Principal Investigators. Specifically, additional variables added to the data file, and CRP and EBV values have been recalculated, resulting in minimal changes to the data. The associated documentation and codebook files were also updated. Finally, a user guide describing measures of inflammation and immune function for Part 2 was also added.2012-11-07 The codebook associat...

This survey was mandated by Congress to collect data for the purpose of measuring the impact of the social environment on adolescent health. It examines the general health and well-being of adolescents in the United States, including, with respect to those adolescents: the behaviors that promote health and the behaviors that are detrimental to health; and the influence on health of factors particular to the communities in which adolescents reside. Some of the dependent variables include diet and nutrition, eating disorders, depression, violent behavior, intentional injury, unintentional injury, suicide, exercise, health services use, and health insurance coverage. Wave 1 was collected from students grade 7 through 12 and consists of responses to questions relating to the respondents' behaviors, friends, and parents. Parent data were also collected from one parent or parent-figure for each in-home sampled student. Wave 2 consists of follow-up interviews. Wave 3 consists of yet another follow-up, when the respondents were now between 18 and 26 years of age. The focus of Wave 3 was the issues faced in the transition from adolescence to adulthood, such as: the labor market, higher education, relationships, parenting, and community involvement.

Users can download or order data regarding adolescent health and well-being and the factors that influence the adolescent transition into adulthood. Background The Add Health Study, conducted by the Eunice Kennedy Shriver National Institute for Child Health and Human Development, began during the 1994-1995 school year with a nationally representative sample of students in grades 7-12. The cohort has been followed into adulthood. Participants' social, physical, economic and psychological information is ascertained within the contexts of their family, neighborhood, school, peer groups, friendships and romantic relationships. The original purpose of the study was to understand factors that may influence adolescent behaviors, but as the study has continued, it was evolved to gather information on the factors related to the transition into adulthood. User Functionality Users can download or order the CD-Rom of the public use data sets (which include only a subset of the sample). To do so, users must generate a free log in with Data Sharing for Demographic Research, which is part of the Inter-University Consortium for Political and Social Research, or users must contact Sociometrics. Links to both data warehouses are provided. Data Notes The study began in 1994; respondents were followed up with in 1996, 2001-2 002, and 2007-2008. In addition to the cohort members, parents, siblings, fellow students, school administrators, and romantic partners are also interviewed.

The National Longitudinal Study of Adolescent Health (Add Health) was mandated by Congress to collect data for the purpose of measuring the impact of social environment on adolescent health. It examines the general health and well-being of adolescents in the United States, including, with respect to these adolescents, (1) the behaviors that promote health and the behaviors that are detrimental to health; and (2) the influence on health of factors particular to the communities in which adolescents reside. Dependent variables include diet and nutrition, eating disorders, depression, violent behavior, intentional injury, unintentional injury, suicide, exercise, health service use, and health insurance coverage.

For current version see: https://data.sandiegocounty.gov/Health/2021-Alzheimer-s-Disease-and-Related-Dementias/6gup-43ea

Basic Metadata *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.

**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.

***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.

Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.

Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.

Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx

Downloads of Add Health require submission of the following information, which is shared with the original producer of Add Health: supervisor name, supervisor email, and reason for download. A Data Guide for this study is available as a web page and for download. The National Longitudinal Study of Adolescent to Adult Health (Add Health), 1994-2018 [Public Use] is a longitudinal study of a nationally representative sample of U.S. adolescents in grades 7 through 12 during the 1994-1995 school year. The Add Health cohort was followed into young adulthood with four in-home interviews, the most recent conducted in 2008 when the sample was aged 24-32. Add Health combines longitudinal survey data on respondents' social, economic, psychological, and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships. Add Health Wave I data collection took place between September 1994 and December 1995, and included both an in-school questionnaire and in-home interview. The in-school questionnaire was administered to more than 90,000 students in grades 7 through 12, and gathered information on social and demographic characteristics of adolescent respondents, education and occupation of parents, household structure, expectations for the future, self-esteem, health status, risk behaviors, friendships, and school-year extracurricular activities. All students listed on a sample school's roster were eligible for selection into the core in-home interview sample. In-home interviews included topics such as health status, health-facility utilization, nutrition, peer networks, decision-making processes, family composition and dynamics, educational aspirations and expectations, employment experience, romantic and sexual partnerships, substance use, and criminal activities. A parent, preferably the resident mother, of each adolescent respondent interviewed in Wave I was also asked to complete an interviewer-assisted questionnaire covering topics such as inheritable health conditions, marriages and marriage-like relationships, neighborhood characteristics, involvement in volunteer, civic, and school activities, health-affecting behaviors, education and employment, household income and economic assistance, parent-adolescent communication and interaction, parent's familiarity with the adolescent's friends and friends' parents. Add Health data collection recommenced for Wave II from April to August 1996, and included almost 15,000 follow-up in-home interviews with adolescents from Wave I. Interview questions were generally similar to Wave I, but also included questions about sun exposure and more detailed nutrition questions. Respondents were asked to report their height and weight during the course of the interview, and were also weighed and measured by the interviewer. From August 2001 to April 2002, Wave III data were collected through in-home interviews with 15,170 Wave I respondents (now 18 to 26 years old), as well as interviews with their partners. Respondents were administered survey questions designed to obtain information about family, relationships, sexual experiences, childbearing, and educational histories, labor force involvement, civic participation, religion and spirituality, mental health, health insurance, illness, delinquency and violence, gambling, substance abuse, and involvement with the criminal justice system. High School Transcript Release Forms were also collected at Wave III, and these data comprise the Education Data component of the Add Health study. Wave IV in-home interviews were conducted in 2008 and 2009 when the original Wave I respondents were 24 to 32 years old. Longitudinal survey data were collected on the social, economic, psychological, and health circumstances of respondents, as well as longitudinal geographic data. Survey questions were expanded on educational transitions, economic status and financial resources and strains, sleep patterns and sleep quality, eating habits and nutrition, illnesses and medications, physical activities, emotional content and quality of current or most recent romantic/cohabiting/marriage relationships, and maltreatment during childhood by caregivers. Dates and circumstances of key life events occurring in young adulthood were also recorded, including a complete marriage and cohabitation history, full

The Add Health Parent Study or Parents (2015-2017), gathered social, behavioral, and health survey data in 2015-2017 on a probability sample of the parents of Add Health sample members who were originally interviewed at Wave I (1994-1995). Data for 966 Wave I Parents, ranging in age from 50-80 years and representing 988 Add Health sample members, are available in the Public-Use sample. Parents eligible for participation in this study were the biological parent, adoptive parent, or stepparent of an Add Health respondent at Wave I; not deceased or incarcerated at the time of Parents (2015-2017) sampling; and had at least one Add Health child who was also not deceased at the time of Parents (2015-2017) sampling. Spouse/Partner Interviews The Add Health Parent Study interview also gathered survey data on the current co-habiting Spouse or Partner of eligible parents who completed the interview. Four hundred eight-six (486) current Spouse/or Partner interviews are available in the Public-Use sample. Financial Respondent During the Wave I Parent interview, Wave I Parents who indicated having a Spouse or Partner were asked to identify whether they or their Spouse or Partner was most knowledgeable about household assets, debts and retirement planning. The person identified was flagged by the survey as the Financial Respondent. Only the Financial Respondent was asked to complete a more detailed set of questions on these topics. Family Health History A paper Family Health History (FHH) leave-behind questionnaire was given to each respondent (Wave I Parent and Spouse or Partner) at the end of the interview together with a self-addressed and stamped envelope. Health Histories for biological parents, siblings, aunts or uncles and grandparents are included in this FHH questionnaire. A total of 633 Wave I Parents and 316 Spouses or Partners, selected for inclusion in the Public-Use sample, completed and returned the FHH leave-behind questionnaire.

Add Health Parent Study (2015-2017) gathered social, behavioral, and health survey data in 2015-2017 on a probability sample of the "https://addhealth.cpc.unc.edu/" Target="_blank">Add Health parents who were originally interviewed in 1995. Data for 2,013 Wave I parents, ranging in age from 50-80 years and representing 2,244 Add Health sample members, are available. Add Health Parent Study Wave I Parents were the biological, adoptive, or stepparent of an Add Health child; not deceased or incarcerated at the time of Parents (2015-2017) sampling; and had at least one Add Health child who is also not deceased at the time of Parents (2015-2017) sampling. The Add Health Parent Study interview also gathered survey data on the current cohabiting Spouse or Partner of Wave I Parents who completed the interview. Nine hundred eighty-eight (988) current Spouse/Partner interviews are available. These data can be linked with Wave I parent data, and corresponding Add Health respondents at Waves I - V.

The Add Health Parent Study (2015-2017) interview is a comprehensive survey of Add Health parents' family relations, education, religious beliefs, physical and mental health, social support, and community involvement experiences. In particular, the study was designed to improve the understanding of the role that families play through socioeconomic channels in the health and well-being of the older, parent generation and that of their offspring. This unique data set supports the analyses of intergenerational transmissions of (dis)advantage that have not been possible to date. Add Health Parent Study data permits the examination of both short-term and long-term linkages and interactions between parents and their adult children.

For more information, please visit the Add Health Parent Study official website "https://addhealth.cpc.unc.edu/about/#studies-satellite" Target="_blank">here.

This file is the main interview data collected from the Spouse or Partner of the Add Health Wave I Parent. The name of the file is "sp2" on official Add Health "https://www.cpc.unc.edu/projects/addhealth/documentation/restricteduse/datasets#parent_study_files" Target="_blank">data documentation.

BackgroundThe Global Burden of Disease (GBD) project systematically assesses mortality, healthy life expectancy, and disability across 195 countries and territories, using the disability-adjusted life year (DALY). Disability weights in the DALY are based upon surveys that ask users to rate health states based on lay descriptions. We conducted an experimental study to examine whether the inclusion or removal of psychological, social, or familial implications from a health state description might affect individual judgments about disease severity, and thus relative disability weights.MethodsWe designed a survey consisting of 36 paired descriptions in which information about plausible psychological, social, or familial implications of a health condition was either present or absent. Using a Web-based platform, we recruited 1,592 participants, who were assigned to one of two experimental groups, each of which were asked to assign a value to the health state description from 0 to 100 using a slider, with 0 as the “worst possible health” and 100 as the “best possible health.” We tested five hypotheses: (1) the inclusion of psychological, social, or familial consequences in health state descriptions will reduce the average rating of a health state; (2) the effect will be stronger for diseases with lower disability weights (i.e., less severe diseases); (3) the effect will vary across the type of additional information added to the health state description; (4) the impact of adding information on familial consequences will be stronger for female than male; (5) the effect of additional consequences on ratings of health state descriptions will not differ by levels of completed education and age.ResultsOn average, adding social, psychological, or familial consequences to the health state description lowered individual ratings of that description by 0.78 points. The impact of adding information had a stronger impact on ratings of the least severe conditions, reducing average ratings in this category by 1.67 points. Addition of information about child-rearing had the strongest impact, reducing average ratings by 2.09 points. We found little evidence that the effect of adding information on ratings of health descriptions varied by gender, education, or age.ConclusionsIncluding information about health states not directly related to major functional consequences or symptoms, particularly with respect to child-rearing and specifically for descriptions of less severe conditions, can lead to lower ratings of health. However, this impact was not consistent across all conditions or types of information, and was most pronounced for inclusion of information about child-rearing, and among the least severe conditions.

PSE = Perceived Survival Expectations. Assessed via: “What are your chances of living to age 35?”.aUnweighted sample size. Means, Percentages (95% Confidence Intervals) are weighted to be representative of adolescents in grades 7–12 in the US during the1994–1995 school year.

In 2023, over nine in ten U.S. adults agreed that physician assistants (PAs) are part of the solution to address the shortage of healthcare providers. Furthermore, 93 percent agreed with the statement that PAs add value to healthcare teams. This statistic illustrates the share of adults who agreed with the selected statements regarding the benefits physician assistants (PAs) add to the U.S. healthcare system in 2023.

Descriptive Statistics (Adolescents from Add Health Wave II/1996).

This dataset contains the final rule/correction notice cost thresholds by Medicare Severity Diagnosis Related Group (MS-DRG) for the cost criteria for new technology add on payment applications for applications for FY 2018.

The Adding Chemicals to Water Supply permit is required for persons who engage in the business of chemically treating the drinking water supply within a building. This permit allows chemicals to be added only for anti-corrosion, anti-scaling or disinfection purposes. This dataset contains a list of current permittees who may add chemical treatment to a building's drinking water in New York City. To learn more about this permit program and related health code, please visit https://www.nyc.gov/nycbusiness/description/adding-chemicals-to-water-supply-permit

Data is collected to track the adding chemicals to water supply permits issued by DOHMH and is managed by the Office of Public Health Engineering.

This data can be used to find a company or individual that has a current adding chemicals to water supply permit in New York City. It can also be used to verify the permit for a business or persons that engages in the business of chemically treating the drinking water supply in a building.