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Net interstate migration (NIM) is the difference between the number of persons who have changed their place of usual residence by moving into a given state or territory and the number who have changed their place of usual residence by moving out of that state or territory. This difference can be either positive or negative. This dataset contains annual NIM estimates by age and sex at the state/territory and Australia level.
This statistic shows the net percentage change in the Millennial population in the United States from 2010 to 2016, by state. In the period of 2010 to 2016, North Dakota had the largest change in Millennial population, growing ** percent.
The annual net migration of the population of Ukraine, calculated as the difference between the number of inter-state immigrants and emigrants, exceeded ** thousand in 2021, marking a significant increase compared to the previous year. Since 2005, people migrating to and taking permanent residence in Ukraine have outnumbered those who left the country.
Over *** percent of migrants moved for job-related purposes from the north Indian state of Uttar Pradesh to Maharashtra, the highest among other inter-state migration patterns between 2020 and 2021. Over * percent of the population migrated from Uttar Pradesh to the national capital Delhi.
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Interstate migration in developing countries is a key income generating strategy for low-income households. In India, despite the importance of migration between states, interstate migrants continue to face significant integration barriers in their destination states. The impact of state borders is significant and large on migration within India. This study presents one of the first attempts at creating a set of indicators to understand the role of state-level policies for the integration of interstate migrants in a developing country. After illustrating the process behind the creation of this tool and the tool in itself, we compare seven out the major migrant destination states of India based on their policy frameworks relevant for the integration of interstate migrants. Out of these states, we found that Kerala state is the most inclusive of interstate migrants, but overall policymakers in the considered Indian states have a long way to favour integration of interstate migrants.
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A map and ranking of the highest-volume interstate moves such as California to Texas and New York to Florida.
Data supports Working Paper 681, "Interstate Migration Has Fallen Less Than You Think: Consequences of Hot Deck Imputation in the Current Population Survey." https://www.minneapolisfed.org/research/wp/wp681.pdf
Himachal Pradesh had over ** percent of intra-state migrant population, the highest among all states in India between 2020 and 2021. Telangana and Tamil Nadu followed it with ** and over ** percent respectively.
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Australia Population Change: Net Interstate Migration: Victoria data was reported at 179.000 Person in Sep 2024. This records an increase from the previous number of -24.000 Person for Jun 2024. Australia Population Change: Net Interstate Migration: Victoria data is updated quarterly, averaging -482.000 Person from Jun 1981 (Median) to Sep 2024, with 174 observations. The data reached an all-time high of 5,197.000 Person in Dec 2015 and a record low of -10,431.000 Person in Dec 2020. Australia Population Change: Net Interstate Migration: Victoria data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G003: Population Change.
33 000,0 (Persons) in 2022. Migration by place of residence five years earlier. The figures refer to the population aged 5 and over. Excludes the population that resided five years earlier in another country, and for 2005 and 2010 in addition to the population that did not specify the entity of residence five years earlier. Figures for the following census dates: February 14 (2000), 17 October (2005) and June 12 (2010).
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The project leads for the collection of this data were Julie Garcia and Richard Shinn. Female mule deer were captured in February 2017 and equipped with satellite collars manufactured by Lotek. Location fixes were collected from these collars between 2017 and 2020. Additional GPS data was collected between 1999-2001 from deer captured in 1999. The earlier dataset was included in the analysis to supplement the small sample size of the 2017-2020 dataset. The data was collected from deer throughout Modoc County with a priority to ascertain general distributions, survival, and home range, and not to model migration routes, hence the low sample sizes. Deer with overlapping winter ranges were defined as from the same herd. The Modoc Interstate deer herd migrates from a winter range near Clear Lake Reservoir in Modoc County, California north into Oregon in Klamath and Lake counties for the summer. GPS locations were fixed at 12-hour intervals in the 2017-2020 dataset and 8-hour intervals in the 1999-2001 dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual deer is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst.
The methodology used for this migration analysis allowed for the mapping of winter ranges and the identification and prioritization of migration corridors. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 21 migrating deer, including 52 migration sequences. Resident deer with winter ranges overlapping those of migrant deer were removed from the analysis; only migrants were used in the mapping of corridors, stopovers, and winter ranges. GPS locations, date, time, and average location error were used as inputs in Migration Mapper. Sixteen migration sequences from 12 deer, with an average migration time of 23.89 days and an average migration distance of 69.71 km, were used from the 1999-2001 dataset. Thirty-six migration sequences from 9 deer, with an average migration time of 19.53 days and an average migration distance of 87.57 km, were used from the 2017-2020 dataset. Corridors and stopovers were prioritized based on the number of animals moving through a particular area. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours and a fixed motion variance of 1000. Winter range analyses were based on data from 20 individual deer and 32 wintering sequences using a fixed motion variance of 1000. Winter range designations for this herd would likely expand with a larger sample, filling in some of the gaps between winter range polygons in the map. Large water bodies were clipped from the final outputs.
Corridors are visualized based on deer use per cell, with greater than or equal to 1 deer, greater than or equal to 3 deer (10% of the sample), and greater than or equal to 5 deer (20% of the sample) representing migration corridors, moderate use, and high use corridors, respectively. Stopovers were calculated as the top 10 percent of the population level utilization distribution during migrations and can be interpreted as high use areas. Stopover polygon areas less than 20,000 m2were removed, but remaining small stopovers may be interpreted as short-term resting sites, likely based on a small concentration of points from an individual animal. Winter range is visualized as the 50thpercentile contour of the winter range utilization distribution.
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Gross in- and out-migration statisitcs are provided in this file for each county (or county equivalent) in the United States. Migrant data are stratified by age, race, and sex. Included for each race/sex/age group are data on college attendance, military status, group quarters status, residence abroad in 1975, and total population. Data on country of birth are listed for race/sex strata.
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Net interstate migration (NIM) is the difference between the number of persons who have changed their place of usual residence by moving into a given state or territory and the number who have changed their place of usual residence by moving out of that state or territory. This difference can be either positive or negative. This dataset contains annual NIM estimates by age and sex at the state/territory and Australia level.
0.42 (%) in 2022.
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Population Change: Net Interstate Migration: Western Australia data was reported at 1,469.000 Person in Sep 2024. This records a decrease from the previous number of 2,411.000 Person for Jun 2024. Population Change: Net Interstate Migration: Western Australia data is updated quarterly, averaging 580.000 Person from Jun 1981 (Median) to Sep 2024, with 174 observations. The data reached an all-time high of 5,181.000 Person in Dec 2021 and a record low of -3,669.000 Person in Dec 2016. Population Change: Net Interstate Migration: Western Australia data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G003: Population Change.
India's migrant population amounted to about *** million in 2011, a tremendous increase from *** million in 2001. This was largely made up of intra-district movement at over ** percent. Inter-district movement had increased since 1991, while it decreased for inter-state migration.
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Australia Population Change: Net Interstate Migration data was reported at -417.000 Person in Sep 2024. This records a decrease from the previous number of -84.000 Person for Jun 2024. Australia Population Change: Net Interstate Migration data is updated quarterly, averaging 59.500 Person from Jun 1981 (Median) to Sep 2024, with 174 observations. The data reached an all-time high of 2,334.000 Person in Jun 2021 and a record low of -1,023.000 Person in Jun 1997. Australia Population Change: Net Interstate Migration data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G003: Population Change.
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The Modoc Interstate mule deer (Odocoileus hemionus) herd migrates from a winter range near Clear Lake Reservoir in Modoc County, California north into Oregon in Klamath and Lake counties for the summer. Much of this herd likely resides in Oregon year-round as California population estimates (2000-3000) are lower than Oregon estimates (~15,000). Female mule deer were captured in Modoc in February 2017 and equipped with satellite collars manufactured by Lotek. Additional GPS data was collected between 1999-2001 from deer captured in 1999, and was included to supplement the small sample size of the 2017-2020 dataset. The data was collected with a priority to ascertain general distributions, survival, and home range, and not to model migration routes, hence the low sample sizes. Threats to this herd include increased fire frequency and conversion to non-native annual grass. Moreover, increased juniper woodlands has resulted in a loss of forbs, grass, and shrubs. These data provide th ...
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These migration data come from the Census 2000 long-form questions about residence in 1995 and provide the number of people who moved between counties. There are two files, one for inflows from every county in the United States and another re-sorted by outflows to every county. Each file contains data for all 50 states and the District of Columbia, sorted by FIPS state and county codes.
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Australia Population Change: Net Interstate Migration: Queensland data was reported at 5,714.000 Person in Sep 2024. This records a decrease from the previous number of 6,830.000 Person for Jun 2024. Australia Population Change: Net Interstate Migration: Queensland data is updated quarterly, averaging 5,645.000 Person from Jun 1981 (Median) to Sep 2024, with 174 observations. The data reached an all-time high of 17,639.000 Person in Dec 2021 and a record low of 589.000 Person in Mar 2010. Australia Population Change: Net Interstate Migration: Queensland data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G003: Population Change.
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Net interstate migration (NIM) is the difference between the number of persons who have changed their place of usual residence by moving into a given state or territory and the number who have changed their place of usual residence by moving out of that state or territory. This difference can be either positive or negative. This dataset contains annual NIM estimates by age and sex at the state/territory and Australia level.