United States US: Incidence of Tuberculosis: per 100,000 People data was reported at 3.100 Ratio in 2016. This records a decrease from the previous number of 3.300 Ratio for 2015. United States US: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 4.900 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 6.700 Ratio in 2000 and a record low of 3.100 Ratio in 2016. United States US: Incidence of Tuberculosis: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Health Statistics. Incidence of tuberculosis is the estimated number of new and relapse tuberculosis cases arising in a given year, expressed as the rate per 100,000 population. All forms of TB are included, including cases in people living with HIV. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.; ; World Health Organization, Global Tuberculosis Report.; Weighted average;

This dataset includes two tables on tuberculosis (TB) in California: 1) TB cases and rates by place of birth, sex, age and race/ethnicity 2) TB cases by local health jurisdiction (LHJ). TB case reports are submitted to the California Department of Public Health (CDPH), TB Control Branch (TBCB), by 61 local health jurisdictions (58 counties, and the cities of Berkeley, Long Beach, and Pasadena).

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretabilty. We also formatted the data into a standard data format.

Each Project Tycho dataset contains case counts for a specific condition (e.g. measles) and for a specific country (e.g. The United States). Case counts are reported per time interval. In addition to case counts, datsets include information about these counts (attributes), such as the location, age group, subpopulation, diagnostic certainty, place of aquisition, and the source from which we extracted case counts. One dataset can include many series of case count time intervals, such as "US measles cases as reported by CDC", or "US measles cases reported by WHO", or "US measles cases that originated abroad", etc.

Depending on the intended use of a dataset, we recommend a few data processing steps before analysis:

• Analyze missing data: Project Tycho datasets do not inlcude time intervals for which no case count was reported (for many datasets, time series of case counts are incomplete, due to incompleteness of source documents) and users will need to add time intervals for which no count value is available. Project Tycho datasets do include time intervals for which a case count value of zero was reported.
• Separate cumulative from non-cumulative time interval series. Case count time series in Project Tycho datasets can be "cumulative" or "fixed-intervals". Cumulative case count time series consist of overlapping case count intervals starting on the same date, but ending on different dates. For example, each interval in a cumulative count time series can start on January 1st, but end on January 7th, 14th, 21st, etc. It is common practice among public health agencies to report cases for cumulative time intervals. Case count series with fixed time intervals consist of mutually exxclusive time intervals that all start and end on different dates and all have identical length (day, week, month, year). Given the different nature of these two types of case count data, we indicated this with an attribute for each count value, named "PartOfCumulativeCountSeries".

Note: This dataset is historical only and there are not corresponding datasets for more recent time periods. For that more-recent information, please visit the Chicago Health Atlas at https://chicagohealthatlas.org.

The annual number of new cases of tuberculosis and average annual tuberculosis incidence rate (new cases per 100,000 residents) with corresponding 95% confidence intervals, by Chicago community area, for the years 2007 – 2011. See the full description at https://data.cityofchicago.org/api/assets/E0205898-C378-4299-97C1-F9F89AAF603C.

Three year average incidence of TB per 100,000 population

Rationale Reducing TB incidence is a key indicator in the Tuberculosis Action plan for England, 2021 to 2026.

Definition of numerator Sum of the number of new TB notifications to the National Tuberculosis Surveillance system (NTBS) over a three year time period.

Definition of denominator Sum of the Office for National Statistics (ONS) midyear population estimates for each year of the three year time period.

Caveats Every effort is made to ensure accuracy and completeness of NTBS data, including web-based reporting, data cleaning, and data integrity checks for data quality. However, responsibility for the accuracy and completeness of the data lies with the reporting clinic. Data for all previous years are updated using the most recent TB notification dataset. This update means that the values for a given area and year may be different (either smaller or larger) when compared to what has been shown on this profile in the past.

Zimbabwe ZW: Incidence of Tuberculosis: per 100,000 People data was reported at 208.000 Ratio in 2016. This records a decrease from the previous number of 242.000 Ratio for 2015. Zimbabwe ZW: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 487.000 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 617.000 Ratio in 2003 and a record low of 208.000 Ratio in 2016. Zimbabwe ZW: Incidence of Tuberculosis: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank: Health Statistics. Incidence of tuberculosis is the estimated number of new and relapse tuberculosis cases arising in a given year, expressed as the rate per 100,000 population. All forms of TB are included, including cases in people living with HIV. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.; ; World Health Organization, Global Tuberculosis Report.; Weighted average;

The Online Tuberculosis Information System (OTIS) on CDC WONDER contains information on verified tuberculosis (TB) cases reported to the Centers for Disease Control and Prevention (CDC) by state health departments, the District of Columbia and Puerto Rico since 1993. These data were extracted from the CDC national TB surveillance system. OTIS reports case counts, incidence rates, population counts, percentage of cases that completed therapy within 1 year of diagnosis, and percentage of cases tested for drug susceptibility. Data for 22 variables are included in the data set, including: age groups, race / ethnicity, sex, vital status, year reported, state, metropolitan area, several patient risk factors, directly observed therapy, disease verification criteria and multi-drug resistant TB. Each year these data are updated with an additional year of cases plus revisions to cases reported in previous years. OTIS is produced by the U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention (CDC), National Center for HIV/AIDS, viral Hepatitis, STD and TB Prevention (NCHHSTP).

Morocco MA: Incidence of Tuberculosis: per 100,000 People data was reported at 103.000 Ratio in 2016. This records an increase from the previous number of 101.000 Ratio for 2015. Morocco MA: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 100.000 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 116.000 Ratio in 2002 and a record low of 94.000 Ratio in 2007. Morocco MA: Incidence of Tuberculosis: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank: Health Statistics. Incidence of tuberculosis is the estimated number of new and relapse tuberculosis cases arising in a given year, expressed as the rate per 100,000 population. All forms of TB are included, including cases in people living with HIV. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.; ; World Health Organization, Global Tuberculosis Report.; Weighted average;

The three-year average incidence of TB per 100,000 population is calculated by dividing the numerator (the number of TB notifications in the 3-year period) by the denominator (the sum of the mid-year population estimates for the same 3-year period) and multiplying by 100,000.

Data for all previous years are updated using the most recent TB notification dataset. This update means that the values for a given area and year may be different (either smaller or larger) when compared to what has been shown on this profile in the past.Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

NNDSS - Table III. Tuberculosis - 2017.This Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States will exclude counts from US territories. Footnote: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable Cum: Cumulative year-to-date counts. Min: Minimum. Max: Maximum. * Case counts for reporting year 2016 and 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf Data for TB are displayed quarterly.

Montenegro ME: Incidence of Tuberculosis: per 100,000 People data was reported at 16.000 Ratio in 2016. This records an increase from the previous number of 15.000 Ratio for 2015. Montenegro ME: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 21.000 Ratio from Dec 2005 (Median) to 2016, with 12 observations. The data reached an all-time high of 31.000 Ratio in 2006 and a record low of 15.000 Ratio in 2015. Montenegro ME: Incidence of Tuberculosis: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Montenegro – Table ME.World Bank: Health Statistics. Incidence of tuberculosis is the estimated number of new and relapse tuberculosis cases arising in a given year, expressed as the rate per 100,000 population. All forms of TB are included, including cases in people living with HIV. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.; ; World Health Organization, Global Tuberculosis Report.; Weighted average;

Series Name: Tuberculosis incidence (per 100 000 population)Series Code: SH_TBS_INCIDRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 3.3.2: Tuberculosis incidence per 100,000 populationTarget 3.3: By 2030, end the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, water-borne diseases and other communicable diseasesGoal 3: Ensure healthy lives and promote well-being for all at all agesFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

This data set includes a range of other statistics relevant to the incidence of tuberculosis (TB) in cattle. If you require these datasets in a more accessible format, please contact Defra Contact email: tbstatistics@defra.gsi.gov.uk Source agency: Environment, Food and Rural Affairs Destination: Statistical data set Language: English Alternative title: Incidents of confirmed M.bovis infection in domestic and companion animals and wild deer in GB

French Polynesia PF: Incidence of Tuberculosis: per 100,000 People data was reported at 20.000 Ratio in 2016. This records an increase from the previous number of 19.000 Ratio for 2015. French Polynesia PF: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 24.000 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 31.000 Ratio in 2006 and a record low of 18.000 Ratio in 2010. French Polynesia PF: Incidence of Tuberculosis: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s French Polynesia – Table PF.World Bank.WDI: Health Statistics. Incidence of tuberculosis is the estimated number of new and relapse tuberculosis cases arising in a given year, expressed as the rate per 100,000 population. All forms of TB are included, including cases in people living with HIV. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.; ; World Health Organization, Global Tuberculosis Report.; Weighted average;

The dataset provides surveillance and disease data for tuberculosis.

Tuberculosis cases and rates by select characteristics table from the Tuberculosis Control Annual Summary

The number of cases of tuberculosis (all forms) in a population at a given point in time (the middle of the calendar year), expressed as the rate per 100 000 population. Estimates include cases of TB in people with HIV.Tuberculosis is considered as one of the three pandemics of low- and middle- income countries.

United Kingdom UK: Incidence of Tuberculosis: per 100,000 People data was reported at 9.900 Ratio in 2016. This records a decrease from the previous number of 10.000 Ratio for 2015. United Kingdom UK: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 13.000 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 15.000 Ratio in 2011 and a record low of 9.900 Ratio in 2016. United Kingdom UK: Incidence of Tuberculosis: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Health Statistics. Incidence of tuberculosis is the estimated number of new and relapse tuberculosis cases arising in a given year, expressed as the rate per 100,000 population. All forms of TB are included, including cases in people living with HIV. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.; ; World Health Organization, Global Tuberculosis Report.; Weighted average;

This data set includes a range of other statistics relevant to the incidence of tuberculosis (TB) in cattle.

If you require these datasets in a more accessible format, please contact tbstatistics@defra.gov.uk

Source agency: Environment, Food and Rural Affairs

Destination: Statistical data set

Language: English

Alternative title: Incidents of confirmed M.bovis infection in domestic and companion animals and wild deer in GB

This dataset presents gender-disaggregated TB data across different states and years. It includes total TB cases notified, paediatric TB cases notified, and total TB cases initiated on treatment, allowing for gender-based analysis of TB burden and healthcare access. It should be noted that for 2019, the data on cases initiated treatment is available as percentage by gender only.