In 2023, the highest rates of chlamydia in the U.S. were reported for the Black population, with men having a rate of 974.7 per 100,000 population and women a rate of 1,342.2 per 100,000 population. This statistic shows the rates of reported cases of chlamydia in the United States in 2023, by race/ethnicity and gender.

Sexually transmitted infections by age, gender and race compiled for Clackamas, Multnomah and Washington counties.Data from Oregon Health Authority Oregon STD Statistics.

Rates of syphilis in the United States are higher among men than women. This is true for every race and ethnicity, although the difference varies greatly. For example, among the Black population, there were around 62.3 cases of syphilis among men per 100,000 population in 2023 and only 18.8 cases per 100,000 population among women. On the other hand, rates of syphilis among American Indians/Alaska Natives were similarly high for both men and women with rates of 63.6 and 52.9 per 100,000 population, respectively. What is syphilis? Syphilis is a common and treatable sexually transmitted disease (STD). Anyone who is sexually active can contract syphilis, however men who have sex with only men accounted for slightly more cases than other groups in 2022. There are four stages of syphilis, and each stage has different signs and symptoms. The stages are primary, secondary, latent, and tertiary. Syphilis can be cured with antibiotics. How many people get syphilis each year? In 2022, there were around 207,255 cases of syphilis in the United States. This was the highest number of cases recorded since the 1950s. In comparison, in the year 2000, there were only around 31,618 cases. Like chlamydia and gonorrhea, rates of syphilis in the United States have increased over the past couple decades reaching 62 per 100,000 population in 2022. However, this rate is still far below the rate of 146 cases per 100,000 population recorded in 1950. Rates of syphilis in the U.S. are highest among people in their twenties and early thirties.

In 2023, there were approximately 1,691 cases of STIs diagnosed per 100,000 population in England among those from a black or black British ethnic background. This was the ethnic group with the highest rate of STIs diagnosed during this year. This statistic displays the rate of cases of sexually transmitted infections diagnosed in England in 2023, by ethnicity (per 100,000 population).

Illinois 2000-2016 STD counts and rates (per 100,000 population) by race/ethnicity. See attachment for metadata and censoring details under the "About" link. Null values in dataset reflect censored data. {AIAN: American Indian, Alaskan Native, non-Hispanic; Asian: Asian, non-Hispanic; Black: Black or African American, non-Hispanic; Hisp: Hispanc (of any race); MultiRace: more than one race was reported, non-Hispanic (Chlamydia and gonorrhea use multiple races in reporting, syphilis cases use single race reporting (i.e., MultiRace values may be zero for syphilis cases)); NHPI: Native Hawaiian or Other Pacific Islander (Chlamydia and gonorrhea cases reports distinguishes NHPI from Asians, whereas syphilis cases group Asians, native Hawaiians and other Pacific Islanders as “Asian” (i.e., NHPI cases in syphilis case reports may display zero cases; these cases would have been reported under Asian)); White: White or Caucasian, non-Hispanic; Other: Other race, non-Hispanic; Unk: Unknown race, ethnicity.} Data Source: Illinois Department of Public Health STD Program.

In 2023, only around four percent of white high school students in the United States reported being tested for sexually transmitted diseases (STDs) in the past year. This graph shows the percentage of high school students in the United States who were tested for STDs in the past year in 2019, 2021, and 2023, by race/ethnicity.

In 2023, only six percent of high school students in the United States reported being tested for sexually transmitted diseases (STDs) in the past year. This graph shows the percentage of high school students in the United States who were tested for STDs in the past year as of 2023, by race/ethnicity.

Illinois 2000-2016 STD Chlamydia counts by county by race/ethnicity. See attachment for metadata and censoring details under the "About" link. Null values in dataset reflect censored data. {AIAN: American Indian, Alaskan Native, non-Hispanic; Asian: Asian, non-Hispanic; Black: Black or African American, non-Hispanic; Hisp: Hispanc (of any race); MultiRace: more than one race was reported, non-Hispanic (Chlamydia and gonorrhea use multiple races in reporting, syphilis cases use single race reporting (i.e., MultiRace values may be zero for syphilis cases)); NHPI: Native Hawaiian or Other Pacific Islander (Chlamydia and gonorrhea cases reports distinguishes NHPI from Asians, whereas syphilis cases group Asians, native Hawaiians and other Pacific Islanders as “Asian” (i.e., NHPI cases in syphilis case reports may display zero cases; these cases would have been reported under Asian)); White: White or Caucasian, non-Hispanic; Other: Other race, non-Hispanic; Unk: Unknown race, ethnicity.} Data Source: Illinois Department of Public Health STD Program.

In 2023, the highest rates of gonorrhea in the U.S. were reported among the Black population, with men having a rate of 712.6 per 100,000 population and women a rate of 413.9 per 100,000 population. This statistic shows the rates of reported cases of gonorrhea in the United States in 2023, by race/ethnicity and gender.

In 2023, there were around 769.8 cases of chlamydia diagnosed per 100,000 population in England, among those with a black ethnic or black British background. This was the ethnic group with the highest rate of diagnosed chlamydia during this year. This statistic displays the rate of cases of chlamydia diagnosed in England in 2023, by ethnicity (per 100,000 population).

Data by medical encounter for the following conditions by age, race/ethnicity, and gender:

Chlamydia Gonorrhea Syphilis Tuberculosis

Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population. Blank Cells: Rates not calculated for fewer than 11 events. Rates not calculated in cases where zip code is unknown. Geography not reported where there are no cases reported in a given year. SES: Is the median household income by SRA community. Data for SRA's only.

Data sources: County of San Diego, Health and Human Services Agency, Tuberculosis Control Program, County TB Registry. County of San Diego, Health and Human Services Agency, HIV, STD and Hepatitis Branch, Morbidity Database. SANDAG Population Estimates, 2020 (vintage: 09/2022). Population estimates were derived using the 2010 Census and data should be considered preliminary. Prepared by: County of San Diego, Health and Human Services Agency, Public Health Services, Community Health Statistics Unit, February 2023.

2020 Community Profile Data Guide and Data Dictionary Dashboard: https://public.tableau.com/app/profile/chsu/viz/2020CommunityProfilesDataGuideandDataDictionaryDashboard_16763944288860/HomePage

This dataset holds yearly case counts and cumulative incidences in Napa County from 2011-2021, broken down by race.

Multivariate analysis of factors associated with STI diagnosis during military service.

TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Redistricting Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States and Puerto Rico. The Redistricting Census 2000 TIGER/Line files will not include files for the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Redistricting Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The Redistricting Census 2000 TIGER/Line files do NOT contain the ZIP Code Tabulation Areas (ZCTAs) and the address ranges are of approximately the same vintage as those appearing in the 1999 TIGER/Line files. That is, the Census Bureau is producing the Redistricting Census 2000 TIGER/Line files in advance of the computer processing that will ensure that the address ranges in the TIGER/Line files agree with the final Master Address File (MAF) used for tabulating Census 2000. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Redistricting Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types.

BackgroundThe reasons for black/white disparities in HIV epidemics among men who have sex with men have puzzled researchers for decades. Understanding reasons for these disparities requires looking beyond individual-level behavioral risk to a more comprehensive framework.Methods and FindingsFrom July 2010-Decemeber 2012, 803 men (454 black, 349 white) were recruited through venue-based and online sampling; consenting men were provided HIV and STI testing, completed a behavioral survey and a sex partner inventory, and provided place of residence for geocoding. HIV prevalence was higher among black (43%) versus white (13% MSM (prevalence ratio (PR) 3.3, 95% confidence interval (CI): 2.5–4.4). Among HIV-positive men, the median CD4 count was significantly lower for black (490 cells/µL) than white (577 cells/µL) MSM; there was no difference in the HIV RNA viral load by race. Black men were younger, more likely to be bisexual and unemployed, had less educational attainment, and reported fewer male sex partners, fewer unprotected anal sex partners, and less non-injection drug use. Black MSM were significantly more likely than white MSM to have rectal chlamydia and gonorrhea, were more likely to have racially concordant partnerships, more likely to have casual (one-time) partners, and less likely to discuss serostatus with partners. The census tracts where black MSM lived had higher rates of poverty and unemployment, and lower median income. They also had lower proportions of male-male households, lower male to female sex ratios, and lower HIV diagnosis rates.ConclusionsAmong black and white MSM in Atlanta, disparities in HIV and STI prevalence by race are comparable to those observed nationally. We identified differences between black and white MSM at the individual, dyadic/sexual network, and community levels. The reasons for black/white disparities in HIV prevalence in Atlanta are complex, and will likely require a multilevel framework to understand comprehensively.

ICD-9 Diagnosis Codes examined in this study.

Percentage of HIV and STDs co-infection among persons living with HIV infection (PLWH) ages 13 and older, 2016, Santa Clara County. STD co-infections among PLWH were identified by matching the list of PLWH and the list of STD cases newly reported in Santa Clara County in 2016. STDs include chlamydia, gonorrhea, syphilis(primary, secondary, and early latent). Source: Santa Clara County Public Health Department, enhanced HIV/AIDS reporting system (eHARS), data as of 4/30/2017; CalREDIE, data as of March 15, 2017METADATA:Notes (String): Lists table title, notes and sourcesCategory (String): Lists the category representing the data: Santa Clara County is for total population living with HIV infection; sex: male, female; age group: 13-19, 20-29, 30-39, 40-49, 50-59, 60-64, 65 and older; race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only); transmission mode: MSM, IDU, MSM & IDU, heterosexual contactPercentage (Numeric): Percentage of people living with HIV who was diagnosed with chlamydia, gonorrhea, or early syphilis among all people living with HIV in 2016.

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.

Results from the 2006–09 Monitoring STIs Survey Program (MSSP). “Observed” estimates use only data from respondents who provided biospecimens for testing. All estimates are weighted to account for differing probabilities of selection and post-stratification adjustment to match Census marginals for Baltimore, Maryland (see text). “Observed + Imputed” estimates include multiply imputed data for respondents with missing biospecimens or other missing data (see text). All base Ns are unweighted. Confidence intervals (CI) were calculated using statistical algorithms that take account of the complex sample design used in the surveys. Confidence intervals for “observed + Imputed” estimates also take account of the impact of imputation of missing data on variance of prevalence estimates.(a)Persons describing themselves as Hispanic are coded as Non-Black.