This statistic shows the change in the regional distribution of the U.S. population each decade from 1790 to 2021. In 2021, 17.2 percent of the population in the United States lived in the Northeast.

In 2023, the natural growth rate of the population across China varied between 7.96 people per 1,000 inhabitants (per mille) in Tibet and -6.92 per mille in Heilongjiang province. The national total population growth rate turned negative in 2022 and ranged at -1.48 per mille in 2023. Regional disparities in population growth The natural growth rate is the difference between the birth rate and the death rate of a certain region. In China, natural population growth reached the highest values in the western regions of the country. These areas have a younger population and higher fertility rates. Although the natural growth rate does not include the direct effects of migration, migrants are often young people in their reproductive years, and their movement may therefore indirectly affect the birth rates of their home and host region. This is one of the reasons why Guangdong province, which received a lot of immigrants over the last decades, has a comparatively high population growth rate. At the same time, Jilin, Liaoning, and Heilongjiang province, all located in northeast China, suffer not only from low fertility, but also from emigration of young people searching for better jobs elsewhere. The impact of uneven population growth The current distribution of natural population growth rates across China is most likely to remain in the near future, while overall population decline is expected to accelerate. Regions with less favorable economic opportunities will lose their inhabitants faster. The western regions with their high fertility rates, however, have only small total populations, which limits their effect on China’s overall population size.

The rock ptarmigan is a popular game bird in Iceland, but management of hunting has tended to be controversial. We were interested in whether regional differences in ptarmigan demography exist and, if so, their implications for harvest management.

We fit integrated population models (IPMs) to monitoring data from six hunting regions of Iceland during 2005 – 2023, and then examined equilibrium and non-equilibrium harvests strategies based on an objective to maximize sustainable harvest.

Survival and reproductive rates tended to be similar among regions, except in the demographically important Northeast, where survival was lower and productivity was higher. There was a negative relationship between post-breeding age ratio and spring abundance in all regions, although the strength of density dependence varied. Spring abundance was stable in all regions, although harvest rates tended to decline, and adult survival rates tended to increase. There was a tendency for temporal patterns of demography to be positively correlated among regions. Evidence for cyclical patterns in abundance was weak, but this may be an artifact of the relatively short time series.

Sustainable harvest potential varied among regions and was greatest in the East and Northeast. It appears that harvests during 2005 – 2022 were somewhat less than the sustainable maximum. Non-equilibrium harvest strategies, in which the allowable harvests depend on spring population size and anticipated productivity, are so-called "bang-bang" strategies, meaning that no or very little harvest is optimal until the population is at or above its maximum level of net production.

Synthesis and applications: Regional differences in ptarmigan demography warrant different harvest strategies. Yet the hunting season in Iceland historically has been regulated on a country-wide basis, with population abundance and dynamics in the Northeast playing a key role. To implement regional harvest management, decision makers must first agree on harvest-management objectives that satisfy most stakeholders, who tend to hold very diverse values. Moreover, the historical relationship between season length and harvest rate is tenuous at best, yet season length is the primary mechanism traditionally used to control harvest. The uncertainty in this relationship could be addressed in an adaptive-management framework.

Thailand GDP: Chaiyaphum: Population (1,000 Persons) data was reported at 955.111 Person th in 2016. This records a decrease from the previous number of 957.111 Person th for 2015. Thailand GDP: Chaiyaphum: Population (1,000 Persons) data is updated yearly, averaging 1,035.955 Person th from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 1,118.303 Person th in 2000 and a record low of 955.111 Person th in 2016. Thailand GDP: Chaiyaphum: Population (1,000 Persons) data remains active status in CEIC and is reported by National Economic and Social Development Board. The data is categorized under Global Database’s Thailand – Table TH.A076: Regional GDP: SNA93: Northeastern: Current Price (Rev. 4).

Thailand GDP: NE: Population (1,000 Persons) data was reported at 18,674.471 Person th in 2016. This records a decrease from the previous number of 18,727.871 Person th for 2015. Thailand GDP: NE: Population (1,000 Persons) data is updated yearly, averaging 20,054.639 Person th from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 21,279.572 Person th in 2000 and a record low of 18,674.471 Person th in 2016. Thailand GDP: NE: Population (1,000 Persons) data remains active status in CEIC and is reported by National Economic and Social Development Board. The data is categorized under Global Database’s Thailand – Table TH.A076: Regional GDP: SNA93: Northeastern: Current Price (Rev. 4).

Thailand GDP: Surin: Population (1,000 Persons) data was reported at 1,110.479 Person th in 2016. This records a decrease from the previous number of 1,112.879 Person th for 2015. Thailand GDP: Surin: Population (1,000 Persons) data is updated yearly, averaging 1,228.616 Person th from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 1,355.611 Person th in 2000 and a record low of 1,110.479 Person th in 2016. Thailand GDP: Surin: Population (1,000 Persons) data remains active status in CEIC and is reported by National Economic and Social Development Board. The data is categorized under Global Database’s Thailand – Table TH.A076: Regional GDP: SNA93: Northeastern: Current Price (Rev. 4).

Thailand GDP: Nakhon Phanom: Population (1,000 Persons) data was reported at 566.964 Person th in 2016. This records a decrease from the previous number of 569.964 Person th for 2015. Thailand GDP: Nakhon Phanom: Population (1,000 Persons) data is updated yearly, averaging 636.774 Person th from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 700.238 Person th in 2000 and a record low of 566.964 Person th in 2016. Thailand GDP: Nakhon Phanom: Population (1,000 Persons) data remains active status in CEIC and is reported by National Economic and Social Development Board. The data is categorized under Global Database’s Thailand – Table TH.A076: Regional GDP: SNA93: Northeastern: Current Price (Rev. 4).

Thailand GDP: Maha Sarakham: Population (1,000 Persons) data was reported at 828.188 Person th in 2016. This records a decrease from the previous number of 829.788 Person th for 2015. Thailand GDP: Maha Sarakham: Population (1,000 Persons) data is updated yearly, averaging 891.725 Person th from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 965.582 Person th in 2000 and a record low of 827.188 Person th in 2010. Thailand GDP: Maha Sarakham: Population (1,000 Persons) data remains active status in CEIC and is reported by National Economic and Social Development Board. The data is categorized under Global Database’s Thailand – Table TH.A076: Regional GDP: SNA93: Northeastern: Current Price (Rev. 4).

Thailand GDP: Roi Et: Population (1,000 Persons) data was reported at 1,071.749 Person th in 2016. This records a decrease from the previous number of 1,074.449 Person th for 2015. Thailand GDP: Roi Et: Population (1,000 Persons) data is updated yearly, averaging 1,176.594 Person th from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 1,284.074 Person th in 2000 and a record low of 1,071.749 Person th in 2016. Thailand GDP: Roi Et: Population (1,000 Persons) data remains active status in CEIC and is reported by National Economic and Social Development Board. The data is categorized under Global Database’s Thailand – Table TH.A076: Regional GDP: SNA93: Northeastern: Current Price (Rev. 4).

Thailand GDP: Buri Ram: Population (1,000 Persons) data was reported at 1,251.254 Person th in 2016. This records a decrease from the previous number of 1,254.754 Person th for 2015. Thailand GDP: Buri Ram: Population (1,000 Persons) data is updated yearly, averaging 1,389.581 Person th from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 1,525.962 Person th in 2000 and a record low of 1,251.254 Person th in 2016. Thailand GDP: Buri Ram: Population (1,000 Persons) data remains active status in CEIC and is reported by National Economic and Social Development Board. The data is categorized under Global Database’s Thailand – Table TH.A076: Regional GDP: SNA93: Northeastern: Current Price (Rev. 4).

Thailand GDP: Sakon Nakhon: Population (1,000 Persons) data was reported at 810.717 Person th in 2016. This records a decrease from the previous number of 813.717 Person th for 2015. Thailand GDP: Sakon Nakhon: Population (1,000 Persons) data is updated yearly, averaging 929.153 Person th from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 1,062.819 Person th in 2000 and a record low of 810.717 Person th in 2016. Thailand GDP: Sakon Nakhon: Population (1,000 Persons) data remains active status in CEIC and is reported by National Economic and Social Development Board. The data is categorized under Global Database’s Thailand – Table TH.A076: Regional GDP: SNA93: Northeastern: Current Price (Rev. 4).

Thailand GDP: Bueng Kan: Population (1,000 Persons) data was reported at 350.093 Person th in 2016. This records a decrease from the previous number of 352.093 Person th for 2015. Thailand GDP: Bueng Kan: Population (1,000 Persons) data is updated yearly, averaging 0.000 Person th from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 360.493 Person th in 2011 and a record low of 0.000 Person th in 2010. Thailand GDP: Bueng Kan: Population (1,000 Persons) data remains active status in CEIC and is reported by National Economic and Social Development Board. The data is categorized under Global Database’s Thailand – Table TH.A076: Regional GDP: SNA93: Northeastern: Current Price (Rev. 4).

Thailand GDP: Udon Thani: Population (1,000 Persons) data was reported at 1,259.671 Person th in 2016. This records a decrease from the previous number of 1,264.572 Person th for 2015. Thailand GDP: Udon Thani: Population (1,000 Persons) data is updated yearly, averaging 1,386.332 Person th from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 1,498.774 Person th in 2000 and a record low of 1,259.671 Person th in 2016. Thailand GDP: Udon Thani: Population (1,000 Persons) data remains active status in CEIC and is reported by National Economic and Social Development Board. The data is categorized under Global Database’s Thailand – Table TH.A076: Regional GDP: SNA93: Northeastern: Current Price (Rev. 4).

Thailand GDP: Si Sa Ket: Population (1,000 Persons) data was reported at 1,036.633 Person th in 2016. This records a decrease from the previous number of 1,040.433 Person th for 2015. Thailand GDP: Si Sa Ket: Population (1,000 Persons) data is updated yearly, averaging 1,218.964 Person th from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 1,435.815 Person th in 2000 and a record low of 1,036.633 Person th in 2016. Thailand GDP: Si Sa Ket: Population (1,000 Persons) data remains active status in CEIC and is reported by National Economic and Social Development Board. The data is categorized under Global Database’s Thailand – Table TH.A076: Regional GDP: SNA93: Northeastern: Current Price (Rev. 4).

Thailand GDP: Ubon Ratchathani: Population (1,000 Persons) data was reported at 1,713.904 Person th in 2016. This records a decrease from the previous number of 1,719.704 Person th for 2015. Thailand GDP: Ubon Ratchathani: Population (1,000 Persons) data is updated yearly, averaging 1,733.630 Person th from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 1,748.351 Person th in 2007 and a record low of 1,640.561 Person th in 1995. Thailand GDP: Ubon Ratchathani: Population (1,000 Persons) data remains active status in CEIC and is reported by National Economic and Social Development Board. The data is categorized under Global Database’s Thailand – Table TH.A076: Regional GDP: SNA93: Northeastern: Current Price (Rev. 4).

Thailand GDP: Nong Bua Lam Phu: Population (1,000 Persons) data was reported at 473.423 Person th in 2016. This records a decrease from the previous number of 475.623 Person th for 2015. Thailand GDP: Nong Bua Lam Phu: Population (1,000 Persons) data is updated yearly, averaging 486.674 Person th from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 494.838 Person th in 2001 and a record low of 468.549 Person th in 1995. Thailand GDP: Nong Bua Lam Phu: Population (1,000 Persons) data remains active status in CEIC and is reported by National Economic and Social Development Board. The data is categorized under Global Database’s Thailand – Table TH.A076: Regional GDP: SNA93: Northeastern: Current Price (Rev. 4).

IntroductionVariation in smoking cessation behaviors and motivators across the United States may contribute to health disparities. This study investigates regional differences over time in two key cessation motivators (quit interest and doctor's advice to quit) and two cessation behaviors (past-year quit attempts and recent successful cessation) across diverse demographic factors.MethodsData were analyzed from two releases of the Tobacco Use Supplement to the U.S. Census Bureau's Current Population Survey (TUS-CPS) for the years 2014–15 and 2018–19. The analysis included sex, age, race and ethnicity, education, marital status, employment status, and household income.ResultsFindings from 2018 to 2019 TUS-CPS revealed that quit interest was highest in the Northeast and lowest in the Midwest, while doctor's advice to quit was most prevalent in the Northeast and least in the West. Past-year quit attempts were most common in the Northeast and least in the South. Recent successful cessation (defined as quitting for 6 to 12 months) was highest in the Northeast and Midwest, with the South showing the lowest rates. Compared to the 2014–15 survey, 14 demographic groups (7 in the Midwest, 6 in the South, and 1 in the West) showed decreases in both quit interest and actions to quit. Notably, the Asian non-Hispanic group in the Northeast experienced a significant decrease in quit interest (–17.9%) but an increase in recent successful cessation (+369.2%).DiscussionOverall, the study indicates that while quit interest was highest in the West, the South exhibited the lowest rates of quit attempts and successful cessation. Significant differences were also noted between age groups. These findings highlight the need for further research into cessation behaviors at more granular levels to inform policies aimed at reducing smoking-related health disparities among populations facing the greatest challenges in cessation.