The Population Projections for the State of Tennessee, produced for the Tennessee State Data Center, contain projections for each county in Tennessee by race, age, and sex for each year from 2018 to 2070. Age is defined by five-year bands, starting with an “age 0-4” group and ending with an “age 85+” group. Race is delineated as one of four categories that combine race and ethnic definitions:White Non-HispanicBlack Non-HispanicAll HispanicOther non-Hispanic, including two or more races. Our forecast implements a cohort-component methodology. We specify the base year as 2000 and the launch year as 2018. Thus, we inform the forecast with trends from 2000 to 2018. Using vital statistics data from the Tennessee Department of Health, we project the population change resulting from natural components (births minus deaths). Differences between actual population values as reported by the Census and values predicted using births and deaths are used to establish net migration patterns.The forecast used these predicted net migration patterns; life tables from the Social Security Administration; recent average birth rates by county, race, and age of female; and forecast future U.S. populations.The 2018 base year population estimates for Tennessee Counties are from the 2018 Vintage Estimates of Population and Housing Units produced by the US Census Bureau.

This CD-ROM contains the 2004 Natality Detail public use files and documentation. This collection provides information on live births in the United States and U.S. territories during calendar year 2004. Birth data for the U.S. are limited to births occurring within the U.S. to U.S. residents and nonresidents. Births to nonresidents of the US are excluded from all tabulations by place of residence. Births occurring to US citizens outside of the US are not included in this file. Birth data for Puerto Rico, Virgin Islands, Guam, and America Samoa are limited to biths occuring within the respective territories. Geographic variables describing residence for births include the state, county, city, county and city population, standard metropolitan statistical area (SMSA), and metropolitan/nonmetropolitan county. Other variables include the race and sex of the child, parent's age, national origin, and race, and mother's educational attainment and marital status. Health data include variables such as live birth order, prenatal care, birth weight, plurality, Apgar score, method of delivery, medical risk factors, complications of labor and/or delivery, abnormal conditions of the newborn, attendant at birth, and place or facility of birth. This data file includes data based on both the 1989 Revision of the U.S. Standard Certificate of Live Birth (unrevised) and the 2003 revision of the U.S. Standard Certificate of Live Birth in 2003 (revised). Pennsylvania and Washington implemented the revised certificate in 2003: five states, Idaho, Kentucky, New York (excluding New York City), South Carolina, and Tennessee implemented as of January 1, 2004. Two additional states, Florida and New Hampshire, implemented the revised birth certificate in 2004, but after January 1. The nine revised states represent 20 percent of all 2004 births. The seven revised states, for which data are available for all of 2004, represent 14 percent of all births. Where comparable, revised data are comb ined with data from the remaining 41 states and the District of Columbia. (Revised data are denoted by R. Unrevised data are denoted by U in the Rev column of the documentation.) Note to Users: This CD is part of a collection located in the Data Archive at the Odum Institute for Research in Social Science, University of North Carolina at Chapel Hill. The collection is located in Room 10, Manning Hall. Users may check out the CDs, subscribing to the honor system. Items may be checked out for a period of two weeks. Loan forms are located adjacent to the collection.

The Population Projections for the State of Tennessee, produced for the Tennessee State Data Center, contain projections for each county in Tennessee by race, age, and sex for each year from 2020 to 2070. Age is defined by five-year groups, starting with “age 0-4” and ending with “age 85+” group. Race is delineated as one of four categories that combine race and ethnic definitions:White Non-HispanicBlack Non-HispanicAll HispanicOther non-Hispanic, including two or more races. Our forecast implements a cohort-component methodology. We specify the base year as 2000 and the launch year as 2021. Thus, we inform the forecast with trends from 2000 to 2020. Using vital statistics data from the Tennessee Department of Health, we project the population change resulting from natural components (births minus deaths). Differences between actual population values as reported by the Census and values predicted using births and deaths are used to establish net migration patterns. The forecast used these predicted net migration patterns; life tables from the Social Security Administration; recent average birth rates by county, race, and age of female; and forecast future U.S. populations.The 2020 base year population estimates for Tennessee Counties are from the 2020 Vintage Estimates of Population and Housing Units produced by the US Census Bureau.

This table presents the number of pregnant and postpartum Medicaid and CHIP beneficiaries, 2017-2021. It includes (1) the number and percentage of beneficiaries ever pregnant in the year; (2) the number and percentage of live births in the year; (3) the number and percentage of miscarriages, stillbirths, or terminations in the year; and (4) the number and percentage of births with an unknown delivery outcome in the year.

These metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues, making the data unusable for identifying this population. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Cells with a value of “DQ” indicate that data were suppressed due to unusable data.

Data from Maryland, Tennessee, and Utah are omitted from the tables due to data quality concerns. Maryland was excluded in 2017 due to unusable diagnosis codes in the IP file and the OT file. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2020. In addition, states with a high data quality concern on one or more measures are noted in the table in the "Data Quality" column. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods.

Some cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.

The cost of giving birth through cesarean section in the United States varies significantly by state and insurance status. In 2023, the national median charge for a C-section delivery for those without insurance, or using out-of-network services, was 37,654 U.S. dollars, with New Jersey topping the list of the highest costs at 52,592 U.S. dollars.
Insurance impact on c-section costs Having insurance significantly reduces the financial burden of childbirth. The national median allowed value for insured, in-network C-sections was 16,943 U.S. dollars in 2023, less than half the cost for uninsured patients. Even with insurance, costs vary widely by state, with New Jersey again having the highest median allowed value at 26,900 U.S. dollars. The disparity between insured and uninsured costs underscores the importance of healthcare coverage for expectant mothers. C-section rates and reasons C-section rates in the United States remain higher than national targets. In 2022, the average C-section rate for low-risk first-time mothers was 25.2 percent, above the national target of 23.6 percent. Among all live births, the C-section rate was even higher, at 32.1 percent in 2022. A 2023 survey revealed that about a quarter of women who had C-sections in the past six months did so due to previous C-sections, while over half reported having emergency C-sections. (1448381, 1448748)

This table presents the rate of neonatal abstinence syndrome per 1,000 newborns whose deliveries were covered by Medicaid or CHIP, 2017 - 2019. Some states have serious data quality issues, making the data unusable for identifying this population. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Data from Maryland, Tennessee, and Utah are omitted for the tables due to data quality concerns. Values for Maryland were excluded due to unusuable diagnosis codes in the IP file and the OT file in 2017. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2019. In addition, states with a high data quality concern on one or more measures are noted in the table with an asterisk (*). Please refer to the DQ Atlas for more information about data quality assessment methods.

This table presents the number of beneficiaries with NAS and the rate of neonatal abstinence syndrome per 1,000 newborns whose deliveries were covered by Medicaid or CHIP, 2017 - 2021.

These metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues, making the data unusable for identifying this population. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Cells with a value of “DQ” indicate that data were suppressed due to unusable data.

Data from Maryland, Tennessee, and Utah are omitted due to data quality concerns. Maryland was excluded in 2017 due to unusable diagnosis codes in the IP file and the OT file. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2020. In addition, states with a high data quality concern on one or more measures are noted in the table in the "Data Quality" column. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods.

Some cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.

Each year, the Population Estimates Program utilizes current data on births, deaths, and migration to calculate population change since the most recent decennial census, and produces a time series of estimates of population. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year.This webmap includes visualizations of population change, rates of population change as well as the components of change: natural increase (births minus deaths) and net migration. More information about the data can be found on the feature layer.

This table presents the number of births per 1,000 female beneficiaries by age group in 2017.

Some states have serious data quality issues, making the data unusable for identifying this population. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Data from Maryland, Tennessee, and Utah are omitted for the tables due to data quality concerns. Maryland was excluded due to unusuable diagnosis codes in the IP file and the OT file. Tennessee was excluded due to unusable diagnosis codes in the IP file. Utah was excluded due to unusable procedure codes on OT professional claims. In addition, states with a high data quality concern on one or more measures are noted in the table with an asterisk (*).

Please refer to the DQ Atlas for more information about data quality assessment methods.

Annual population estimates for Tennessee counties are presented in a dashboard interface developed by the Tennessee State Data Center. The dashboard data is drawn from the 2018 Vintage Population and Housing Unit Estimates produced by the US Census Bureau. The dashboard is focused on current and historic county-level population estimates dating back to 2010. It also provides growth rates and information about the primary components of population change: births, deaths, domestic and international migration. More detailed background on the estimate's procedures and methodology are provided on the dashboard's source data page. A series of maps is also included. The maps present a visual depiction of county-level patterns of growth, as well as maps for each of the primary change components. The available map layers can be accessed by using the

button found in the top right corner of the map.