Time series data for the statistic Birth_Rate_Crude_Per_1000_People and country Sweden. Indicator Definition:Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.The statistic "Birth Rate Crude Per 1000 People" stands at 9.50 per mille as of 12/31/2023, the lowest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.5 percentage points compared to the value the year prior.The 1 year change in percentage points is -0.5.The 3 year change in percentage points is -1.40.The 5 year change in percentage points is -1.90.The 10 year change in percentage points is -2.30.The Serie's long term average value is 12.31 per mille. It's latest available value, on 12/31/2023, is 2.81 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is +0.0.The Serie's change in percentage points from it's maximum value, on 12/31/1964, to it's latest available value, on 12/31/2023, is -6.50.

Death means the permanent disappearance of all evidence of life at any time after life birth has taken place (postnatal cessation of vital functions without capability of resuscitation). The crude death rate is the ratio of the number of deaths during the year to the average population in that year. The value is expressed per 1 000 persons.

Time series data for the statistic Birth_Rate_Crude_Per_1000_People and country Japan. Indicator Definition:Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.The statistic "Birth Rate Crude Per 1000 People" stands at 6.00 per mille as of 12/31/2023, the lowest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.3 percentage points compared to the value the year prior.The 1 year change in percentage points is -0.3.The 3 year change in percentage points is -0.8.The 5 year change in percentage points is -1.40.The 10 year change in percentage points is -2.20.The Serie's long term average value is 11.85 per mille. It's latest available value, on 12/31/2023, is 5.85 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is +0.0.The Serie's change in percentage points from it's maximum value, on 12/31/1967, to it's latest available value, on 12/31/2023, is -13.40.

Dataset replaced by: http://data.europa.eu/euodp/data/dataset/CAJrcG2qBzdgHFsUWHFw This indicator is defined as the crude death rate from suicide and intentional self-harm per 100 000 people, by age group. Figures should be interpreted with care as suicide registration methods vary between countries and over time. Moreover, the figures do not include deaths from events of undetermined intent (part of which should be considered as suicides) and attempted suicides which did not result in death.

Dataset replaced by: http://data.europa.eu/euodp/data/dataset/CAJrcG2qBzdgHFsUWHFw

This indicator is defined as the crude death rate from suicide and intentional self-harm per 100 000 people, by age group. Figures should be interpreted with care as suicide registration methods vary between countries and over time. Moreover, the figures do not include deaths from events of undetermined intent (part of which should be considered as suicides) and attempted suicides which did not result in death.

Analysis of ‘💊 Drug Induced Deaths’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/drug-induced-deathse on 13 February 2022.

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

About this dataset

This data was compiled using the CDC's WONDER database using these parameters:

• Group By: State, Year
• Measures: Deaths, Population, Crude Rate (95% Confidence Interval and Standard Error)
• Underlying Cause of Death: UCD - Drug/Alcohol Induced Causes - Drug Induced Causes
• Show Totals
• Show Zero Values
• Show Suppressed Values

Citation

Centers for Disease Control and Prevention, National Center for Health Statistics. Multiple Cause of Death
1999-2015 on CDC WONDER Online Database, released December, 2016. Data are from the Multiple Cause of Death Files, 1999-2015, as
compiled from data provided by the 57 vital statistics jurisdictions through the Vital Statistics Cooperative Program. Accessed
at http://wonder.cdc.gov/mcd-icd10.html on November 3, 2017.

Caveats

1. As of April 3, 2017, the underlying cause of death has been revised for 125 deaths in 2014. More information:
   http://wonder.cdc.gov/wonder/help/mcd.html#2014-Revision.
2. Circumstances in Georgia for the years 2008 and 2009 have resulted in unusually high death counts for the ICD-10 cause of
   death code R99, "Other ill-defined and unspecified causes of mortality." Caution should be used in interpreting these data.
   More information: http://wonder.cdc.gov/wonder/help/mcd.html#Georgia-Reporting-Anomalies.
3. Circumstances in New Jersey for the year 2009 have resulted in unusually high death counts for the ICD-10 cause of death code
   R99, "Other ill-defined and unspecified causes of mortality" and therefore unusually low death counts in other ICD-10 codes,
   most notably R95, "Sudden Infant Death Syndrome" and X40-X49, "Unintentional poisoning." Caution should be used in
   interpreting these data. More information: http://wonder.cdc.gov/wonder/help/mcd.html#New-Jersey-Reporting-Anomalies.
4. Circumstances in California resulted in unusually high death counts for the ICD-10 cause of death code R99, "Other
   ill-defined and unspecified causes of mortality" for deaths occurring in years 2000 and 2001. Caution should be used in
   interpreting these data. More information: http://wonder.cdc.gov/wonder/help/mcd.html#California-Reporting-Anomalies.
5. Death rates are flagged as Unreliable when the rate is calculated with a numerator of 20 or less. More information:
   http://wonder.cdc.gov/wonder/help/mcd.html#Unreliable.
6. The method used to calculate 95% confidence intervals is documented here: More information:
   http://wonder.cdc.gov/wonder/help/mcd.html#Confidence-Intervals.
7. The method used to calculate standard errors is documented here: More information:
   http://wonder.cdc.gov/wonder/help/mcd.html#Standard-Errors.
8. The population figures for year 2015 are bridged-race estimates of the July 1 resident population, from the Vintage 2015
   postcensal series released by NCHS on June 28, 2016. The population figures for year 2014 are bridged-race estimates of the July
   1 resident population, from the Vintage 2014 postcensal series released by NCHS on June 30, 2015. The population figures for
   year 2013 are bridged-race estimates of the July 1 resident population, from the Vintage 2013 postcensal series released by NCHS
   on June 26, 2014. The population figures for year 2012 are bridged-race estimates of the July 1 resident population, from the
   Vintage 2012 postcensal series released by NCHS on June 13, 2013. Population figures for 2011 are bridged-race estimates of the
   July 1 resident population, from the county-level postcensal Vintage 2011 series released by NCHS on July 18, 2012. Population
   figures for 2010 are April 1 Census counts. The population figures for years 2001 - 2009, are bridged-race estimates of the July
   1 resident population, from the revised intercensal county-level 2000 - 2009 series released by NCHS on October 26, 2012.
   Population figures for 2000 are April 1 Census counts. Population figures for 1999 are from the 1990-1999 intercensal series of
   July 1 estimates. Population figures for Infant Age Groups are the number of live births. Note: Rates and population
   figures for years 2001 - 2009 differ slightly from previously published reports, due to use of the population estimates which
   were available at the time of release.
9. The population figures used in the calculation of death rates for the age group 'under 1 year' are the estimates of the
   resident population that is under one year of age. More information: http://wonder.cdc.gov/wonder/help/mcd.html#Age Group.

Source: http://wonder.cdc.gov/mcd-icd10.html

This dataset was created by Health and contains around 900 samples along with Crude Rate Lower 95% Confidence Interval, Crude Rate Standard Error, technical information and other features such as: - Year - Crude Rate - and more.

How to use this dataset

• Analyze Deaths in relation to Crude Rate Upper 95% Confidence Interval
• Study the influence of State on Crude Rate Lower 95% Confidence Interval
• More datasets

Acknowledgements

If you use this dataset in your research, please credit Health

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

Definition:The crude birth rate is the annual number of live births per 1,000 population.Method of measurementThe crude birth rate is generally computed as a ratio. The numerator is the number of live births observed in a population during a reference period and the denominator is the number of person-years lived by the population during the same period. It is expressed as births per 1,000 population. Method of estimation:Data are taken from the most recent UN Population Division's "World Population Prospects". Other possible data sources:Population censusHousehold surveysPreferred data sources:Civil registration with complete coverageExpected frequency of data dissemination:Biennial (Two years)Data collected March 5, 2021 from: https://www.who.int/data/maternal-newborn-child-adolescent-ageing/indicator-explorer-new/mca/crude-birth-rate-(births-per-1000-population)

Time series data for the statistic Birth_Rate_Crude_Per_1000_People and country Grenada. Indicator Definition:Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.The statistic "Birth Rate Crude Per 1000 People" stands at 11.71 per mille as of 12/31/2023, the lowest value since 12/31/2018. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.224 percentage points compared to the value the year prior.The 1 year change in percentage points is -0.224.The 3 year change in percentage points is -0.613.The 5 year change in percentage points is -0.684.The 10 year change in percentage points is -3.69.The Serie's long term average value is 25.03 per mille. It's latest available value, on 12/31/2023, is 13.32 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2017, to it's latest available value, on 12/31/2023, is +0.066.The Serie's change in percentage points from it's maximum value, on 12/31/1960, to it's latest available value, on 12/31/2023, is -37.05.

The Crude Birth Rate (CBR) is defined as the number of live births per thousand population. It is usually the dominant factor in determining the rate of population growth. Primary source of data for births and deaths is the registration of births and deaths under Civil Registration System (CRS) of the Office of Registrar General, India (ORGI). Since the reporting of births under CRS is not complete, ORGI estates CBR annually through Sample Registration System, a large scale demographic Survey Conducted by them.

Time series data for the statistic Birth_Rate_Crude_Per_1000_People and country Sudan. Indicator Definition:Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.The statistic "Birth Rate Crude Per 1000 People" stands at 33.61 per mille as of 12/31/2023. Regarding the One-Year-Change of the series, the current value constitutes an increase of 0.077 percentage points compared to the value the year prior.The 1 year change in percentage points is 0.077.The 3 year change in percentage points is -0.868.The 5 year change in percentage points is -1.46.The 10 year change in percentage points is -2.40.The Serie's long term average value is 42.45 per mille. It's latest available value, on 12/31/2023, is 8.84 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2022, to it's latest available value, on 12/31/2023, is +0.077.The Serie's change in percentage points from it's maximum value, on 12/31/1971, to it's latest available value, on 12/31/2023, is -15.24.

Crude incidence and prevalence of MS in Hungary between 2010 and 2015.

Time series data for the statistic Birth_Rate_Crude_Per_1000_People and country Rwanda. Indicator Definition:Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.The statistic "Birth Rate Crude Per 1000 People" stands at 28.35 per mille as of 12/31/2023, the lowest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.511 percentage points compared to the value the year prior.The 1 year change in percentage points is -0.511.The 3 year change in percentage points is -1.67.The 5 year change in percentage points is -2.88.The 10 year change in percentage points is -4.06.The Serie's long term average value is 43.09 per mille. It's latest available value, on 12/31/2023, is 14.74 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is +0.0.The Serie's change in percentage points from it's maximum value, on 12/31/1960, to it's latest available value, on 12/31/2023, is -24.53.

Time series data for the statistic Birth_Rate_Crude_Per_1000_People and country Latvia. Indicator Definition:Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.The statistic "Birth Rate Crude Per 1000 People" stands at 7.70 per mille as of 12/31/2023, the lowest value since 12/31/1999. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.8 percentage points compared to the value the year prior.The 1 year change in percentage points is -0.8.The 3 year change in percentage points is -1.50.The 5 year change in percentage points is -2.30.The 10 year change in percentage points is -2.50.The Serie's long term average value is 12.14 per mille. It's latest available value, on 12/31/2023, is 4.44 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/1998, to it's latest available value, on 12/31/2023, is +0.1.The Serie's change in percentage points from it's maximum value, on 12/31/1960, to it's latest available value, on 12/31/2023, is -9.00.

The 2025 annual OPEC basket price stood at ***** U.S. dollars per barrel as of June. This would be lower than the 2024 average, which amounted to ***** U.S. dollars. The abbreviation OPEC stands for Organization of the Petroleum Exporting Countries and includes Algeria, Angola, Congo, Equatorial Guinea, Gabon, Iraq, Iran, Kuwait, Libya, Nigeria, Saudi Arabia, Venezuela, and the United Arab Emirates. The aim of the OPEC is to coordinate the oil policies of its member states. It was founded in 1960 in Baghdad, Iraq. The OPEC Reference Basket The OPEC crude oil price is defined by the price of the so-called OPEC (Reference) basket. This basket is an average of prices of the various petroleum blends that are produced by the OPEC members. Some of these oil blends are, for example: Saharan Blend from Algeria, Basra Light from Iraq, Arab Light from Saudi Arabia, BCF 17 from Venezuela, et cetera. By increasing and decreasing its oil production, OPEC tries to keep the price between a given maxima and minima. Benchmark crude oil The OPEC basket is one of the most important benchmarks for crude oil prices worldwide. Other significant benchmarks are UK Brent, West Texas Intermediate (WTI), and Dubai Crude (Fateh). Because there are many types and grades of oil, such benchmarks are indispensable for referencing them on the global oil market. The 2025 fall in prices was the result of weakened demand outlooks exacerbated by extensive U.S. trade tariffs.

This dataset presents the footprint of the crude percentage of adults who perform insufficient weekly physical activity. Insufficient physical activity is defined as those aged 18-64 years who did not complete over 150 minutes of physical activity, and at least 5 sessions over a week, and those aged 65+ years who did not complete 30 minutes of activity on at least 5 days in a week. As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the Australian Bureau of Statistics (ABS) using standard error estimates of the proportion. The data spans the financial year of 2014-2015 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). Health risk factors are attributes, characteristics or exposures that increase the likelihood of a person developing a disease or health disorder. Examples of health risk factors include risky alcohol consumption, physical inactivity and high blood pressure. High-quality information on health risk factors is important in providing an evidence base to inform health policy, program and service delivery. For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Health Risk Factors in 2014-2015 Data Tables. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas. The health risks factors reported are known to vary with age and the different PHN area populations are known to have a range of age structures. As such, comparisons of results between the PHN areas should be made with caution because the crude rates presented do not account for these age differences. Adults are defined as persons aged 18 years and over. Values assigned to "n.p." in the original data have been removed from the data.

Time series data for the statistic Birth_Rate_Crude_Per_1000_People and country Sierra Leone. Indicator Definition:Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.The statistic "Birth Rate Crude Per 1000 People" stands at 30.60 per mille as of 12/31/2023, the lowest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.47 percentage points compared to the value the year prior.The 1 year change in percentage points is -0.47.The 3 year change in percentage points is -1.60.The 5 year change in percentage points is -2.74.The 10 year change in percentage points is -6.00.The Serie's long term average value is 43.60 per mille. It's latest available value, on 12/31/2023, is 13.00 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is +0.0.The Serie's change in percentage points from it's maximum value, on 12/31/1963, to it's latest available value, on 12/31/2023, is -17.61.

Time series data for the statistic Birth_Rate_Crude_Per_1000_People and country Eswatini. Indicator Definition:Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.The statistic "Birth Rate Crude Per 1000 People" stands at 24.07 per mille as of 12/31/2023, the lowest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.538 percentage points compared to the value the year prior.The 1 year change in percentage points is -0.538.The 3 year change in percentage points is -1.32.The 5 year change in percentage points is -2.34.The 10 year change in percentage points is -5.57.The Serie's long term average value is 39.16 per mille. It's latest available value, on 12/31/2023, is 15.08 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is +0.0.The Serie's change in percentage points from it's maximum value, on 12/31/1976, to it's latest available value, on 12/31/2023, is -26.61.

This dataset presents the footprint of the crude percentage of adults who consume more than two standard drinks per day on average. Lifetime risky alcohol consumption is defined as those adults who …Show full descriptionThis dataset presents the footprint of the crude percentage of adults who consume more than two standard drinks per day on average. Lifetime risky alcohol consumption is defined as those adults who consume more than two standard drinks per day on average, thereby increasing their lifetime risk. As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the Australian Bureau of Statistics (ABS) using standard error estimates of the proportion. The data spans the financial year of 2014-2015 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). Health risk factors are attributes, characteristics or exposures that increase the likelihood of a person developing a disease or health disorder. Examples of health risk factors include risky alcohol consumption, physical inactivity and high blood pressure. High-quality information on health risk factors is important in providing an evidence base to inform health policy, program and service delivery. For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Health Risk Factors in 2014-2015 Data Tables. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas. The health risks factors reported are known to vary with age and the different PHN area populations are known to have a range of age structures. As such, comparisons of results between the PHN areas should be made with caution because the crude rates presented do not account for these age differences. Adults are defined as persons aged 18 years and over. Values assigned to "n.p." in the original data have been removed from the data. Data for PHN105 and PHN106 should be interpreted with caution, as the estimates have a relative standard error of 25% to 50%. Data for PHN701 (Northern Territory) should be interpreted with caution as the National Health Survey excluded discrete Aboriginal and Torres Strait Islander communities and very remote areas, which comprise around 28% of the estimated resident population of the Northern Territory living in private dwellings. Copyright attribution: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare, (2017): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)

This dataset presents the footprint of the crude percentage of adults who are daily smokers. A current daily smoker was defined as a person who smokes one or more cigarettes, roll-your-own cigarettes, cigars or pipes at least once a day. Chewing tobacco, electronic cigarettes (and similar) and the smoking of non-tobacco products were excluded. As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the Australian Bureau of Statistics …Show full descriptionThis dataset presents the footprint of the crude percentage of adults who are daily smokers. A current daily smoker was defined as a person who smokes one or more cigarettes, roll-your-own cigarettes, cigars or pipes at least once a day. Chewing tobacco, electronic cigarettes (and similar) and the smoking of non-tobacco products were excluded. As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the Australian Bureau of Statistics (ABS) using standard error estimates of the proportion. The data spans the financial years of 2011-2012 and 2014-2015, and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). Health risk factors are attributes, characteristics or exposures that increase the likelihood of a person developing a disease or health disorder. Examples of health risk factors include risky alcohol consumption, physical inactivity and high blood pressure. High-quality information on health risk factors is important in providing an evidence base to inform health policy, program and service delivery. For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Health Risk Factors in 2014-2015 Data Tables. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas. The health risks factors reported are known to vary with age and the different PHN area populations are known to have a range of age structures. As such, comparisons of results between the PHN areas should be made with caution because the crude rates presented do not account for these age differences. Adults are defined as persons aged 18 years and over. Values assigned to "n.p." in the original data have been removed from the data. Data for PHN102, PHN107, PHN109 and PHN110 should be interpreted with caution, as the estimates have a relative standard error of 25% to 50% and should be used with caution. Data for PHN701 (Northern Territory) should be interpreted with caution as the National Health Survey excluded discrete Aboriginal and Torres Strait Islander communities and very remote areas, which comprise around 28% of the estimated resident population of the Northern Territory living in private dwellings. Copyright attribution: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare, (2017): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)

This dataset presents the footprint of the crude percentage of adults who have uncontrolled high blood pressure. Uncontrolled high blood pressure (measured high blood pressure) is defined as including any of the following; measured systolic blood pressure of 140 mmHg or more, or; diastolic blood pressure of 90 mmHg or more, and; irrespective of the use of blood pressure medication. As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the Australian Bureau of Statistics (ABS) using standard error estimates of the proportion. The data spans the financial year of 2014-2015 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). Health risk factors are attributes, characteristics or exposures that increase the likelihood of a person developing a disease or health disorder. Examples of health risk factors include risky alcohol consumption, physical inactivity and high blood pressure. High-quality information on health risk factors is important in providing an evidence base to inform health policy, program and service delivery. For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Health Risk Factors in 2014-2015 Data Tables. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas. The health risks factors reported are known to vary with age and the different PHN area populations are known to have a range of age structures. As such, comparisons of results between the PHN areas should be made with caution because the crude rates presented do not account for these age differences. Adults are defined as persons aged 18 years and over. Values assigned to "n.p." in the original data have been removed from the data. Data for PHN701 (Northern Territory) should be interpreted with caution as the National Health Survey excluded discrete Aboriginal and Torres Strait Islander communities and very remote areas, which comprise around 28% of the estimated resident population of the Northern Territory living in private dwellings.