aCommunity service organizations include homeless services, substance abuse recovery centers, life skills programs, housing assistance programs, faith-based organizations, and other community-oriented service organizations.bFive organizations participating in the Houston survey only use opt-out consent during pregnancy as required by Texas law but do not use opt-out consent otherwise. Therefore, the bulk of consent used for these organizations would be opt-in. Results if these organizations are re-classified into the “opt-in approach only” category: 26 (60.5%) organizations use opt-in approach only, 3 (7.0%) organizations use opt-out approach only, and 14 (32.6%) organizations use a combination of opt-in and opt-out consent.cRespondents could check more than one response.dOther responses in DC include general revenue (n = 1). Other responses in Houston include donations (n = 12) and general revenue (n = 2).eOther responses in DC include general revenue (n = 1). Other responses in Houston include donations (n = 8) and general revenue (n = 2). One Houston organization selected both donations and general revenue for a total of n = 9 organizations selecting “other”.fOne Houston organization estimated 1–2 tests were completed. The average, 1.5 tests, was recorded as the response.HIV Testing Policy, Funding, and Implementation Practices.

U.S. Census Bureau QuickFacts statistics for Houston County, Texas. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

Abstract Background: Although funding has supported the scale up of routine, opt-out HIV testing in the US, variance in implementation mechanisms and barriers in high-burden jurisdictions remains unknown. Methods: We conducted a survey of health care organizations in Washington, DC and Houston/Harris County to determine number of HIV tests completed in 2011, policy and practices associated with HIV testing, funding mechanisms, and reported barriers to testing in each jurisdiction and to compare results between jurisdictions. Results: In 2012, 43 Houston and 35 DC HIV-testing organizations participated in the survey. Participants represented 85% of Department of Health-supported testers in DC and 90% of Department of Health-supported testers in Houston. The median number of tests per organization was 568 in DC and 1045 in Houston. Approximately 50% of organizations in both DC and Houston exclusively used opt-in consent and most conducted both pre- and post-test counseling with HIV testing (80% of organizations in DC, 70% in Houston). While the most frequent source of funding in DC was the Department of Health, Houston organizations primarily billed the patient or third-party payers. Barriers to testing most often reported were lack of funding, followed by patient discomfort/refusal with more barriers reported in DC. Conclusions: Given unique policies, resources and programmatic contexts, DC and Houston have taken different approaches to support routine testing. Many organizations in both cities reported opt-in consent approaches and pre-test counseling, suggesting 2006 national HIV testing recommendations are not being followed consistently. Addressing the barriers to testing identified in each jurisdiction may improve expansion of testing.

This report presents combined 2005 to 2010 National Survey on Drug Use and Health (NSDUH) results for those aged 12 or older in the Houston-Sugar Land-Baytown, TX metro area. The report includes estimates of substance use disorder, major depressive episode, illicit drug use, marijuana use, cigarette use, binge alcohol use, and the nonmedical use of prescription-type pain relievers. Results are provided for the Houston-Sugar Land-Baytown metro area, Texas, and the U.S. overall.

The purpose of this study was to describe the frequency and consequences of sexual assault within abusive intimate relationships, specific to ethnicity and immigrant status, and compare the findings to a similar group of physically abused women who had not experienced intimate partner sexual assault. Research objectives included a description of the type, extent, and temporal sequencing of sexual assault, consequences of sexual assault on women's health and their children's functioning, and treatments used by women to end the sexual assault. This study follows an earlier study on the effectiveness of protection orders that began in January 2001 at a special family violence unit of the Harris County District Attorney's office in Houston, Texas. That study was called EVALUATING A COLLABORATIVE INTERVENTION BETWEEN HEALTH CARE AND CRIMINAL JUSTICE IN HARRIS COUNTY, TEXAS, 2001-2002 (ICPSR 3542). Among the initial cohort of 150 women, 148 women were alive in January 2003 and signed informed consent for the second study. Data from the first study on effectiveness of protection orders were re-stratified to measure differences between sexually abused and not-sexually abused women. Instruments used in the re-stratified analysis included instruments from the earlier study: a Demographic Data Form, Severity of Violence against Women Scales (SAVAWS), the Stalking Victimization Survey, the Danger Assessment Scale, a Worksite Harassment survey, and the Medical Outcomes Study (MOS) Short Form (SF-12) Health Survey, as well the addition of the Brief Symptom Inventory (BSI) and Global Severity Index, the Post Traumatic Stress Disorder Scale (PTSD), the Family Hardiness Index (FHI), the Medical Outcomes Study (MOS) Social Support Survey, and the Child Behavior Checklist (CBCL.). The data include responses from 35 children to the CBCL. The variables in this study also include the frequency of use and the effectiveness of social agencies used in 2002. Additional questions asked about type and frequency of decision-making and actions regarding sexual relations, condom use, and birth control. Women physically but not sexually assaulted were asked a series of questions regarding whether they had ever worried about sexual assault. A series of questions was asked regarding children being witness to physical abuse. A detailed history of perpetrator behavior at the time of the first and additional sexual assaults was obtained, as well as victim helpseeking and health problems following the sexual assault(s). There was also a series of questions regarding the health effects of forced sex on the victim.

Baseline health characteristics and COVID-19 vaccination.

Local, state, tribal, and federal agencies use health insurance coverage data to plan government programs, determine eligibility criteria, and encourage eligible people to participate in health insurance programs. This map shows where those with no health insurance live. Map opens in Houston, TX. Use the bookmarks or search to see other cities. Zoom out to see map render data for counties and states.

Local, state, tribal, and federal agencies use health insurance coverage data to plan government programs, determine eligibility criteria, and encourage eligible people to participate in health insurance programs. This map shows where those with no health insurance live. Map opens in Houston, TX. Use the bookmarks or search to see other cities. Zoom out to see map render data for counties and states. Size of symbol depicts the count of those who are uninsured, color depicts the percent of those who are uninsured. Pop-up displays percentage by age group.This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available.

U.S. Census Bureau QuickFacts statistics for South Houston city, Texas. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

U.S. Census Bureau QuickFacts statistics for Pinehurst CDP, Texas. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

U.S. Census Bureau QuickFacts statistics for Horizon City city, Texas. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

U.S. Census Bureau QuickFacts statistics for Rio Grande City city, Texas. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

U.S. Census Bureau QuickFacts statistics for Colleyville city, Texas. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

U.S. Census Bureau QuickFacts statistics for Liberty city, Texas. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

U.S. Census Bureau QuickFacts statistics for Abilene city, Texas. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

U.S. Census Bureau QuickFacts statistics for Carrollton city, Texas. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.