United States Excess Deaths: No. of Deaths: North Dakota data was reported at 89.000 Number in 16 Sep 2023. This records a decrease from the previous number of 109.000 Number for 09 Sep 2023. United States Excess Deaths: No. of Deaths: North Dakota data is updated weekly, averaging 142.000 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 283.000 Number in 05 Dec 2020 and a record low of 89.000 Number in 16 Sep 2023. United States Excess Deaths: No. of Deaths: North Dakota data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G010: Number of Excess Deaths: by States: All Causes (Discontinued).

As of March 10, 2023, the death rate from COVID-19 in the state of New York was 397 per 100,000 people. New York is one of the states with the highest number of COVID-19 cases.

United States Excess Deaths: Upper Bound: North Dakota data was reported at 169.000 Number in 16 Sep 2023. This records an increase from the previous number of 167.000 Number for 09 Sep 2023. United States Excess Deaths: Upper Bound: North Dakota data is updated weekly, averaging 160.000 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 179.000 Number in 21 Jan 2023 and a record low of 141.000 Number in 29 Jul 2017. United States Excess Deaths: Upper Bound: North Dakota data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G010: Number of Excess Deaths: by States: All Causes (Discontinued).

In 2023, there were **** deaths from breast cancer per 100,000 population in the state of South Dakota, the lowest of any state that year. This statistic shows the death rate from breast cancer in the U.S. in 2023, by state.

United States Excess Deaths: Above Upper Bound: North Dakota data was reported at 0.000 Number in 30 Oct 2021. This stayed constant from the previous number of 0.000 Number for 23 Oct 2021. United States Excess Deaths: Above Upper Bound: North Dakota data is updated weekly, averaging 4.000 Number from Jan 2017 (Median) to 30 Oct 2021, with 251 observations. The data reached an all-time high of 143.000 Number in 05 Dec 2020 and a record low of 0.000 Number in 30 Oct 2021. United States Excess Deaths: Above Upper Bound: North Dakota data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G010: Number of Excess Deaths: by States: All Causes (Discontinued).

Social bees have been extensively studied for their gut microbial functions, but the significance of the gut microbiota in solitary bees remain less explored. Solitary bee, Megachile rotundata females provision their offspring with pollen from various plant species, harboring a diverse microbial community that colonizes larvae guts.​ The Apilactobacillus is the most abundant microbe, but evidence concerning the effects of Apilactobacillus and ​other provision microbes on growth and survival ​are ​lacking. We ​hypothesized that the presence of Apilactobacillus in abundance would enhance larval and prepupal development, weight, and survival, while the absence of intact microbial communities was expected to have a negative impact on bee fitness. We reared larvae on pollen provisions with naturally collected microbial communities (Natural pollen) or devoid of microbial communities (Sterile pollen). We also assessed the impact of introducing Apilactobacillus micheneri by adding it to both types of pollen provisions. Feeding larvae with sterile pollen + A. micheneri led to the highest mortality rate, followed by natural pollen + A. micheneri, and sterile pollen. Larval development was significantly delayed in groups fed with sterile pollen. Interestingly, larval and prepupal weights did not significantly differ across treatments compared to natural pollen-fed larvae. 16S rRNA gene sequencing found a dominance of Sodalis, when A. micheneri was introduced to natural pollen. The presence of Sodalis with abundant A. micheneri suggests potential crosstalk between both, shaping bee nutrition and health. Hence, this study highlights that the reliance on non-host specific environmental bacteria may not impact fitness of M. rotundata.

In the United States, the leading causes of death among women are heart disease and cancer. Heart disease and cancer are similarly the leading causes of death among U.S. men. In 2023, heart disease accounted for **** percent of all deaths among women in the United States, while cancer accounted for **** percent of deaths. COVID-19 was the third leading cause of death among women in 2020 and 2021, and the fourth leading cause in 2022, however, by 2023 it had dropped to ninth place. Cancer among women in the U.S. The most common types of cancer among U.S. women are breast, lung and bronchus, and colon and rectum. In 2025, there were around ******* new breast cancer cases among women, compared to ******* new cases of lung and bronchus cancer. Although breast cancer is the most common form of cancer among women in the United States, lung and bronchus cancer causes the highest number of cancer deaths. In 2025, around ****** women were expected to die from lung and bronchus cancer, compared to ****** from breast cancer. Breast cancer Although breast cancer is the second most deadly form of cancer among women, rates of death have decreased over the past few decades. This decrease is possibly due to early detection, progress in therapy, and increasing awareness of risk factors. In 2023, the death rate due to breast cancer was **** per 100,000 population, compared to a rate of **** per 100,000 in the year 1990. The state with the highest rate of deaths due to breast cancer is Oklahoma, while South Dakota had the lowest rates.

It is estimated that alcohol contributed to around 2.6 million deaths worldwide in 2019. The major causes of alcohol-related death include alcohol poisoning, liver damage, heart failure, cancer, and car accidents. Alcohol abuse worldwide Despite the widespread use of alcohol around the world, a global survey from 2024 of people from 31 different countries found that around 16 percent of respondents stated alcohol abuse was the biggest health problem facing people in their country. The countries with the highest per capita consumption of alcohol include Romania, Georgia, and Latvia. Alcohol consumption in the United States It is estimated that over half of adults in the United States aged 21 to 49 currently use alcohol. Binge drinking (four or more drinks for women and five or more drinks for men on a single occasion) is most common among those aged 21 to 29 years, but still around 25 percent of those aged 40 to 44 report binge drinking. The states with the highest share of the population who binge drink are North Dakota, Iowa, and South Dakota. The death rate due to alcohol in the United States was around 13.5 per 100,000 population in 2022, an increase from a rate of 10.4 per 100,000 recorded in 2019.

United States Excess Deaths: Total Excess Estimate: North Dakota data was reported at 2,793.000 Number in 16 Sep 2023. This stayed constant from the previous number of 2,793.000 Number for 09 Sep 2023. United States Excess Deaths: Total Excess Estimate: North Dakota data is updated weekly, averaging 2,793.000 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 2,793.000 Number in 16 Sep 2023 and a record low of 2,793.000 Number in 16 Sep 2023. United States Excess Deaths: Total Excess Estimate: North Dakota data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G010: Number of Excess Deaths: by States: All Causes (Discontinued).

Population growth can be sensitive to changes in survival rates for many avian species. Understanding sources of mortality, and how to mitigate negative effects on survival, can give managers insight into factors contributing to population change. Harvest trends of eastern wild turkeys (Meleagris gallopavo silvestris) in northeastern South Dakota suggest a decline in abundance. We investigated factors influencing survival of wild turkeys to identify potential factors contributing to the decline. We monitored 122 female wild turkeys using VHF radio transmitters from February 2017 to April 2019. Annual survival was 0.52 (95% CI = 0.33–0.64) for juvenile and 0.49 (95% CI = 0.23–0.63) for adult females, respectively. Daily survival probability was significantly lower during the spring (log‐odds ratio [LOR] = −0.9; 95% CI = −1.5–−0.2) and while a juvenile female was incubating (LOR = −0.67; 95% CI = −1.23–−0.09) but not while an adult female was incubating (LOR = −0.35; 95% CI = −0.92–0.24). Mammalian predation was the leading cause of mortality, and female wild turkeys were most vulnerable to predation during the spring while engaging in nesting and rearing of young broods. Wild turkeys were at risk for additional sources of mortality while incubating nests that were not contributors to mortality during other periods of the year, as deaths caused by haying equipment—the second greatest cause of mortality—only occurred while a female was incubating. Reducing female mortality due to haying, by delaying cutting, installing flushing bars on haying equipment, or increasing availability of suitable nesting cover types to reduce the probability of nesting in hayfields, could improve female survival. Annual survival during our study was about 16–29% lower than survival estimates from northeastern South Dakota during the 1990s, suggesting that reduced female survival could be contributing to the apparent decline in wild turkey abundance.

Proposal for 2008-2009 mortality surveillance for Highly Pathogenic Avian Influenza (HPAI) at Kulm Wetland Management District in North Dakota. Surveillance will focus on priority species known to be sensitive to HPAI. Mortality surveys will be focused on designated routes of 11 Waterfowl Production Areas which have high known concentrations of the sensitive species. Surveillance will be through observation along wetlands on a weekly basis from April 1, 2008 through November 7, 2008 for migration and throughout the breeding season and from March 2, 2009 through March 31, 2009 for the spring migration, with surveys on foot and ATV. Wetlands will be scanned with a spotting scope and binoculars. Carcasses of species detected during mortality surveillance efforts will be collected, properly packaged and shipped to an accredited laboratory for HPAI detection and cause-of-death determination.

Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Vaccination Status. Click 'More' for important dataset description and footnotes

Dataset and data visualization details: These data were posted on October 21, 2022, archived on November 18, 2022, and revised on February 22, 2023. These data reflect cases among persons with a positive specimen collection date through September 24, 2022, and deaths among persons with a positive specimen collection date through September 3, 2022.

Vaccination status: A person vaccinated with a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected. Additional or booster dose: A person vaccinated with a primary series and an additional or booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after receipt of an additional or booster dose of any COVID-19 vaccine on or after August 13, 2021. For people ages 18 years and older, data are graphed starting the week including September 24, 2021, when a COVID-19 booster dose was first recommended by CDC for adults 65+ years old and people in certain populations and high risk occupational and institutional settings. For people ages 12-17 years, data are graphed starting the week of December 26, 2021, 2 weeks after the first recommendation for a booster dose for adolescents ages 16-17 years. For people ages 5-11 years, data are included starting the week of June 5, 2022, 2 weeks after the first recommendation for a booster dose for children aged 5-11 years. For people ages 50 years and older, data on second booster doses are graphed starting the week including March 29, 2022, when the recommendation was made for second boosters. Vertical lines represent dates when changes occurred in U.S. policy for COVID-19 vaccination (details provided above). Reporting is by primary series vaccine type rather than additional or booster dose vaccine type. The booster dose vaccine type may be different than the primary series vaccine type. ** Because data on the immune status of cases and associated deaths are unavailable, an additional dose in an immunocompromised person cannot be distinguished from a booster dose. This is a relevant consideration because vaccines can be less effective in this group. Deaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Rates of COVID-19 deaths by vaccination status are reported based on when the patient was tested for COVID-19, not the date they died. Deaths usually occur up to 30 days after COVID-19 diagnosis. Participating jurisdictions: Currently, these 31 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (New York), North Carolina, Philadelphia (Pennsylvania), Rhode Island, South Dakota, Tennessee, Texas, Utah, Washington, and West Virginia; 30 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 72% of the total U.S. population and all ten of the Health and Human Services Regions. Data on cases

Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Vaccination Status. Click 'More' for important dataset description and footnotes

Dataset and data visualization details: These data were posted on October 21, 2022, archived on November 18, 2022, and revised on February 22, 2023. These data reflect cases among persons with a positive specimen collection date through September 24, 2022, and deaths among persons with a positive specimen collection date through September 3, 2022.

Vaccination status: A person vaccinated with a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected. Additional or booster dose: A person vaccinated with a primary series and an additional or booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after receipt of an additional or booster dose of any COVID-19 vaccine on or after August 13, 2021. For people ages 18 years and older, data are graphed starting the week including September 24, 2021, when a COVID-19 booster dose was first recommended by CDC for adults 65+ years old and people in certain populations and high risk occupational and institutional settings. For people ages 12-17 years, data are graphed starting the week of December 26, 2021, 2 weeks after the first recommendation for a booster dose for adolescents ages 16-17 years. For people ages 5-11 years, data are included starting the week of June 5, 2022, 2 weeks after the first recommendation for a booster dose for children aged 5-11 years. For people ages 50 years and older, data on second booster doses are graphed starting the week including March 29, 2022, when the recommendation was made for second boosters. Vertical lines represent dates when changes occurred in U.S. policy for COVID-19 vaccination (details provided above). Reporting is by primary series vaccine type rather than additional or booster dose vaccine type. The booster dose vaccine type may be different than the primary series vaccine type. ** Because data on the immune status of cases and associated deaths are unavailable, an additional dose in an immunocompromised person cannot be distinguished from a booster dose. This is a relevant consideration because vaccines can be less effective in this group. Deaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Rates of COVID-19 deaths by vaccination status are reported based on when the patient was tested for COVID-19, not the date they died. Deaths usually occur up to 30 days after COVID-19 diagnosis. Participating jurisdictions: Currently, these 31 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (New York), North Carolina, Philadelphia (Pennsylvania), Rhode Island, South Dakota, Tennessee, Texas, Utah, Washington, and West Virginia; 30 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 72% of the total U.S. population and all ten of the Health and Human Services Regions. Data on cases

United States Excess Deaths: Avg Expected No. of Deaths: North Dakota data was reported at 148.000 Number in 16 Sep 2023. This records an increase from the previous number of 147.000 Number for 09 Sep 2023. United States Excess Deaths: Avg Expected No. of Deaths: North Dakota data is updated weekly, averaging 140.000 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 158.000 Number in 14 Jan 2023 and a record low of 122.000 Number in 29 Jul 2017. United States Excess Deaths: Avg Expected No. of Deaths: North Dakota data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G010: Number of Excess Deaths: by States: All Causes (Discontinued).

United States Excess Deaths: Predicted: No. of Deaths: North Dakota data was reported at 165.000 Number in 16 Sep 2023. This records an increase from the previous number of 155.000 Number for 09 Sep 2023. United States Excess Deaths: Predicted: No. of Deaths: North Dakota data is updated weekly, averaging 142.000 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 283.000 Number in 05 Dec 2020 and a record low of 100.000 Number in 01 Sep 2018. United States Excess Deaths: Predicted: No. of Deaths: North Dakota data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G011: Number of Excess Deaths: by States: All Causes: Predicted (Discontinued).

Wildfire and mountain pine beetle infestations are naturally occurring disturbances in western North American forests. Black-backed woodpeckers (Picoides arcticus) are emblematic of the role these disturbances play in creating wildlife habitat, since they are strongly associated with recently-killed forests. However, management practices aimed at reducing the economic impact of natural disturbances can result in habitat loss for this species. Although black-backed woodpeckers occupy habitats created by wildfire, prescribed fire, and mountain pine beetle infestations, the relative value of these habitats remains unknown. We studied habitat-specific adult and juvenile survival probabilities and reproductive rates between April 2008 and August 2012 in the Black Hills, South Dakota. We estimated habitat-specific adult and juvenile survival probability with Bayesian multi-state models and habitat-specific reproductive success with Bayesian nest survival models. We calculated asymptotic population growth rates from estimated demographic rates with matrix projection models. Adult and juvenile survival and nest success were highest in habitat created by summer wildfire, intermediate in MPB infestations, and lowest in habitat created by fall prescribed fire. Mean posterior distributions of population growth rates indicated growing populations in habitat created by summer wildfire and declining populations in fall prescribed fire and mountain pine beetle infestations. Our finding that population growth rates were positive only in habitat created by summer wildfire underscores the need to maintain early post-wildfire habitat across the landscape. The lower growth rates in fall prescribed fire and MPB infestations may be attributed to differences in predator communities and food resources relative to summer wildfire.

Models compared and contrasted survival rates among groups and time-dependency.aKA = known-age newborn fawns, B = Brinkman [20], H = Haskell [17], S = Sams [19], or HS = Haugen and Speake [18] neonatal-age model.bTemporal scale represents constant, daily, or weekly survival among intervals.cAkaike's Information Criterion corrected for small sample size [55].dDifference in the AICc value of the top-ranked model and that of the model under consideration.eAkaike weight [55].fNumber of parameters.Survival models using Program MARK for white-tailed deer from birth to 120 days using known-age newborn fawns and ages estimated from published neonatal-age models based on new-hoof growth, South Dakota and Minnesota, USA, 2001–2009.

United States Excess Deaths: Predicted: Above Expected: North Dakota data was reported at 29.000 Number in 30 Oct 2021. This records a decrease from the previous number of 45.000 Number for 23 Oct 2021. United States Excess Deaths: Predicted: Above Expected: North Dakota data is updated weekly, averaging 5.000 Number from Jan 2017 (Median) to 30 Oct 2021, with 251 observations. The data reached an all-time high of 143.000 Number in 05 Dec 2020 and a record low of 0.000 Number in 07 Aug 2021. United States Excess Deaths: Predicted: Above Expected: North Dakota data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G011: Number of Excess Deaths: by States: All Causes: Predicted (Discontinued).

United States Excess Deaths excl COVID: Predicted: Avg No. of Deaths: North Dakota data was reported at 148.000 Number in 16 Sep 2023. This records an increase from the previous number of 146.000 Number for 09 Sep 2023. United States Excess Deaths excl COVID: Predicted: Avg No. of Deaths: North Dakota data is updated weekly, averaging 140.000 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 156.000 Number in 21 Jan 2023 and a record low of 122.000 Number in 29 Jul 2017. United States Excess Deaths excl COVID: Predicted: Avg No. of Deaths: North Dakota data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G012: Number of Excess Deaths: by States: All Causes excluding COVID-19: Predicted (Discontinued).

United States Excess Deaths excl COVID: Predicted: Above Expected: North Dakota data was reported at 0.000 Number in 30 Oct 2021. This stayed constant from the previous number of 0.000 Number for 23 Oct 2021. United States Excess Deaths excl COVID: Predicted: Above Expected: North Dakota data is updated weekly, averaging 0.000 Number from Jan 2017 (Median) to 30 Oct 2021, with 251 observations. The data reached an all-time high of 21.000 Number in 24 Nov 2018 and a record low of 0.000 Number in 30 Oct 2021. United States Excess Deaths excl COVID: Predicted: Above Expected: North Dakota data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G012: Number of Excess Deaths: by States: All Causes excluding COVID-19: Predicted (Discontinued).