Month: April 2022

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Stage 4 Eller

https://https://storymaps.arcgis.com/stories/66b5d1f3face4a02a0d9565a1421e083

I had some issues importing my layers from QGIS to Arc. These are 3 I plan on using

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Straub Stage 3

  1. University of Kentucky uknowledge. (n.d.). Retrieved April 6, 2022, from https://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1024&context=mpampp_etds

In this report, we review the economic impact when a sports team leaves the city. He concludes that there is minimal impact for the direct economy of the cities.

  • Bantock, J. (2021, October 18). A permanent residence? fans weigh in on potential London NFL franchise. CNN. Retrieved April 5, 2022, from https://www.cnn.com/2021/10/17/sport/nfl-london-team-jaguars-dolphins-spt-intl/index.html

This is an article considering the potential for the jaguars removal from Jacksonville, in a move to London. This is part of the question I am hoping to answer with this study. Does the existence of an NFL team draw in city prosperity for local businesses? Can Jacksonville afford to lose the jaguars?

  • Zimbalist, A., & Noll, R. G. (2016, July 28). Sports, jobs, & taxes: Are new stadiums worth the cost? Brookings. Retrieved April 5, 2022, from https://www.brookings.edu/articles/sports-jobs-taxes-are-new-stadiums-worth-the-cost/

This article considers if new stadiums are beneficial to local economies when paid by the public funds raised through taxes. This article was also written very close to the creation of the Jacksonville jaguars franchise, thus making it even more relevant to my subject.

  • Alfieri, R. (2011, February 13). The NFL’s role in society. Gang Green Nation. Retrieved April 5, 2022, from https://www.ganggreennation.com/2011/2/13/1991886/the-nfls-role-in-society

Here we review “The NFL’s role in society”. This is a very interesting concept for me, as this sport dominates Sundays for half the year. I love to dive in on the “why”.

  • Bantock, J. (2021, October 18). A permanent residence? fans weigh in on potential London NFL franchise. CNN. Retrieved April 5, 2022, from https://www.cnn.com/2021/10/17/sport/nfl-london-team-jaguars-dolphins-spt-intl/index.html

In this reading, we review the limited support Jacksonville has had in recent years, as well as the optimism held for the future. Ranking 29th out of 32 teams, the jaguars have had a disheartening attendance record in 2021.

  • Jaguars community: Jacksonville Jaguars. (n.d.). Retrieved April 5, 2022, from https://www.jaguars.com/community/

Another factor to consider, is the impact players have on a city, as they find creative ways to give back to their fans. Here, the jaguars have a page dedicated just to the “jaguars community”.

This page reviews the move from Oakland to Las Vegas for the raiders. With factors like newly promised public funds, poor original venues, and limited legal repercussions, the choice was clear for the Raiders.

  • Zarpentine, B., says:, M. A. R. K. H. A. L. B. U. R. N., says:, S. H., says:, G. P., Says:, E., says:, A., says:, P. R. (@P. R. N. D., says:, T., Says:, A., says:, J. S., says:, L., Says:, J., says:, J., & says:, M. (2021, December 3). 15 best expansion cities if the NFL adds new franchises. Franchise Sports. Retrieved April 5, 2022, from https://franchisesports.co.uk/nfl-expansion-team-ideas/

This article depicts the potential teams in consideration for expansion should the NFL expand. This can be used in my conclusion to wrap up if these cities would truly benefit from the financing of an NFL team.

  • Lisa, A. (2022, February 7). Is hosting the Super Bowl Worth it for cities? GOBankingRates. Retrieved April 5, 2022, from https://www.gobankingrates.com/money/economy/is-hosting-the-super-bowl-worth-it/#:~:text=Hosting%20the%20Super%20Bowl%20Is%20a%20Pay%2Dto%2DPlay%20Endeavor&text=The%20NFL%20and%20its%20supporting,%2430%20million%20to%20%24130%20million.

The jaguars hosted the Superbowl in 2005. As a warm weather city, they qualify to host the super bowl, however it’s important to consider if the benefits out weigh the cost.

  1. Handley, L. (2019, February 1). The Super Bowl is worth billions each year – here’s who makes what. CNBC. Retrieved April 5, 2022, from https://www.cnbc.com/2019/02/01/the-super-bowl-is-worth-billions-each-year–heres-who-makes-what.html

Finally, the ultimate goal of any NFL team is of course to win the Super Bowl. Here, we learn the financial rewards to be gained in this great honor (that the jaguars have never achieved).

Data:

  1. Steven Manson, Jonathan Schroeder, David Van Riper, Tracy Kugler, and Steven Ruggles. IPUMS National Historical Geographic Information System: Version 16.0 [dataset]. Minneapolis, MN: IPUMS. 2021. http://doi.org/10.18128/D050.V16.0

This is where I got the data to create the maps for census data for 2000. Using this, I will be able to use census information to track changes from when

This gave me access to the data tables I will be using for my income by the decade in selected counties of Florida. With this I will be able to track the change in wealth over the 30 years of the Jaguars existence, and use this as a comparison to the spending records I will use later.

These data sets provide the races of people within the selected time periods, which allows me to track the changes on demographics within the counties around Jacksonville.

By getting access to the 1990 census, I will be able to use the data prior to the introduction of the Jacksonville Jaguars in 1995. Here I will be able to have an official starting point as I map the change over time in the metro area.

This data provides me with the food stores total sales per county based on survey data taken of the area. With this, I will note the impact the Jaguars have on consumption in the restaurant industry.

8. Trafficmetrix. Kalibrate Global. (2022, February 8). Retrieved April 7, 2022, from https://kalibrate.com/data/trafficmetrix/

This data from Kalibrate (Market Planning Solutions) provided me with the information to log the number of people who watch regular season NFL games regularly. This will give me a sign as to the market penetration the jaguars have in their city

9. (INEGI). National Institute of Statistics and Geography (INEGI). (n.d.). Retrieved April 7, 2022, from https://en.www.inegi.org.mx/

Here, I was able to get the data for spending on sporting events by county. This will give me an idea on how much income professional sports are receiving in the area.

  1. U.S. Bureau of Labor Statistics. (2022, April 6). U.S. Bureau of Labor Statistics. Retrieved April 7, 2022, from https://www.bls.gov/

This provides Television access for households within each county of my chosen region. This will allow me to conclude the percentage of homes that have the option to watch football games from home.

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Stage 2 Naegele

For the project, I will be focusing on hospitals in the Chicago area and their relation to redlining. This would start with using redlining maps as a basis and finding all currently operated hospitals in the Chicago area. I am only going to include hospitals with emergent care and trauma units at first to keep the scale manageable. I believe it would be best to create a story map for this project as I will be discussing redlining and its effect on the current landscape of Chicago’s hospitals. I also want to be able to include anecdotes about hospitals and their individual histories (mainly the major ones I find). I will be using the redlining maps of Chicago as well as current google maps for the hospitals. I will also be utilizing secondary and primary sources for background on redlining and individual hospitals. I also want to see if there are any hospitals that “failed” in the Chicago area if possible.

The story map will make the most sense as I am not creating a direct timeline but only examining current maps within the context of redlining. The only thing I really have to be mindful of is to not attribute everything to redlining and make sure I do a good background of the individual areas that seem to lack hospital care. Another factor to consider is response time to emergent calls. It is hard to get accurate data on the usual amount of time it takes an ambulance to get to a trauma unit but there are a few hospitals that have this data and it would be interesting to include this if possible.

Mainly this project would focus on the lasting effects of redlining that go beyond demographics which is what I typically see. It is also in similar effects to food dessert maps that it will bring attention to one of the necessary structures that people need to live. It could also be interesting to include food desert maps (not of my own making) but in reference to the map, I make and compare them. Overall it’s worth examining the access people have to emergent care as it’s one of the structures that save lives in communities.

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Parker Stage 3

Scholarly sources:

http://steppingintothemap.com/mappinghistory/wp-content/uploads/2018/01/Cunfer-On-the-Great-Plains.pdf – This source I got from when we did our Blog Post 7. Gunfer presents research on tilling the land, how different states were affected, and other factors that contributed to the Dust Bowl. I thought this source would be a good place to start.

https://link.springer.com/article/10.1007/s11111-013-0190-z – I found this peer-reviewed source when looking for ecological papers and liked what this source presented about. This source mainly focuses on the environment and human involvement that made the Dust Bowl possible

https://creighton-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_proquest_miscellaneous_1031278886&context=PC&vid=01CRU&lang=en_US&search_scope=EVERYTHING&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,dust%20bowl&pcAvailability=false – I found this source while looking through the Creighton library trying to find the long-term effects of the Dust Bowl as I want to look into whether the event pushed greater suburbanization as a result of the catastrophe.

https://creighton-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_crossref_primary_10_1175_JCLI_D_17_0515_1&context=PC&vid=01CRU&lang=en_US&search_scope=EVERYTHING&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,dust%20bowl&pcAvailability=false – When I was looking for sources I wanted to find something that focused on change over time in terms of the states hit the hardest.

https://creighton-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_proquest_journals_2297898942&context=PC&vid=01CRU&lang=en_US&search_scope=EVERYTHING&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,dust%20bowl&pcAvailability=false – This scholarly source is one of my favorite that I found. Specifically, because it relates to the exact question I am trying to answer with what did people do as a result of the Dust Bowl? And where did they go?

https://creighton-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_proquest_journals_2021075421&context=PC&vid=01CRU&lang=en_US&search_scope=EVERYTHING&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,dust%20bowl&pcAvailability=false – This source I felt would be helpful from when I transition to talking about the Dust Bowl in the 1930s to the recovery of the country and specifically the Great Plains in the 1940s.

https://creighton-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_crossref_primary_10_1177_0959683617702235&context=PC&vid=01CRU&lang=en_US&search_scope=EVERYTHING&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,dust%20bowl&pcAvailability=false – I thought this source was interesting as a forecasting type of research report. We talked in our class about why isn’t America going through another Dust Bowl, and this also talks about the potential for a storm caused by drought in our century.

https://creighton-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2664008&context=PC&vid=01CRU&lang=en_US&search_scope=EVERYTHING&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,dust%20bowl&pcAvailability=false – This source talks about the over tilling of America and why it had an impact on the Dust Bowl coming when it did. This source and Gunfer go hand in hand in my opinion.

https://creighton-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_crossref_primary_10_1038_478450a&context=PC&vid=01CRU&lang=en_US&search_scope=EVERYTHING&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,dust%20bowl&pcAvailability=false – This source also talks about the prospect of another Dust Bowl type of disaster. What we learned from the past Dust Bowl and how we can prevent another situation from happening, between the government, citizens, and farmers.

https://creighton-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=01CRU_ALMA2167477320002656&context=L&vid=01CRU&lang=en_US&search_scope=EVERYTHING&adaptor=Local%20Search%20Engine&tab=default_tab&query=any,contains,dust%20bowl&offset=10&pcAvailability=false – This is another source that I am really intrigued to use in how I craft my storytelling for the final project. There are witness accounts and stories of the Dust Bowl and I want to use this to guide through the data of how the Dust Bowl impacted suburbanization in the 20th century.

Maps sources:

https://www.davidrumsey.com/luna/servlet/detail/RUMSEY~8~1~32209~1151551:156–Wheat-sq–mile-?sort=pub_list_no_initialsort%2Cpub_list_no_initialsort%2Cpub_list_no_initialsort%2Cpub_list_no_initialsort&qvq=w4s:/what%2FAtlas%2BMap%2FStatistical%2BAtlas%2FAgriculture%2Fwhere%2FUnited%2BStates;sort:pub_list_no_initialsort%2Cpub_list_no_initialsort%2Cpub_list_no_initialsort%2Cpub_list_no_initialsort;lc:RUMSEY~8~1&mi=28&trs=71 – This map came from our Blog Post 7 readings for the week. Rumsey shows us the great plains and the Wheat per Square mile which I plan on connecting to the tilling of land in the early 20th century in my story map.

http://steppingintothemap.com/mappinghistory/wp-content/uploads/2018/01/Cunfer-On-the-Great-Plains.pdf – This source also came from Blog Post 7. What I want to do with the maps that are displayed is create a similar side-by-side view of the midwest between 1930 and 1940 and show how the agricultural landscape changed, how the population moved, and the similarities between the two.

https://urldefense.com/v3/__http://data2.nhgis.org/downloads__;!!MuWMPV1_1eXDnA!gN0H4KdEZ3s7PXZlSVHO0EvwfsNV1ls91fbosWH4lddin5Hl8WEkoXCAvvqp4CZH4mHyZ_M$ – Beyond the first two mapping sources, the rest are maps/databases from NHGIS. This map focuses on the Agricultural landscape of America in 1930. This will be a good base map to look at how things have changed over time.

https://urldefense.com/v3/__http://data2.nhgis.org/downloads__;!!MuWMPV1_1eXDnA!hQvf8rXcoshSV-i5kf7SnBbFr-JmsXbU9h8VRSZRtQQEi1jRywDA2pUEd_0Lhbg6TCSyC3M$ – This map focuses on the population of the United States in 1930. This is also an important step in understanding how the population was before the Dust Bowl and then comparing it to how it changed 10 years later.

https://urldefense.com/v3/__http://data2.nhgis.org/downloads__;!!MuWMPV1_1eXDnA!m6gmmZnzizQGNNp-o0wJkEPQoNq4LmzPIkIcSz9MSxUMOBcTB8k62s57OUyNViPXNJqbVzg$ – This map focuses on the population of the United States in 1940. This will be used to compare to the previous dataset looking at change in overall population.

https://urldefense.com/v3/__http://data2.nhgis.org/downloads__;!!MuWMPV1_1eXDnA!hPquROysJqkIWbtq0BB-a1AzCysOQLs6pIaF9CrpMKTXEgSjkcALI8jsExO-FzoYZlMitHw$ – This map looks at US counties in 1930. I wanted to also look at a more individual look into counties in 1930 to specifically address the population movement and the question of suburbanization.

https://urldefense.com/v3/__http://data2.nhgis.org/downloads__;!!MuWMPV1_1eXDnA!gfNVgSmIQHlTBhQfdnkVvAXe_iIi-UPVuGsXmx18AWl2EliXOC2Zd9_HoHTo3hm-1Lef8tk$ – This map focuses on farm area and utilization in 1930. Since the Dust Bowl had a strong relationship with the farmers of that time, I thought it would be a good idea to look into how farmland was used before the Dust Bowl.

https://urldefense.com/v3/__http://data2.nhgis.org/downloads__;!!MuWMPV1_1eXDnA!nL_FoTZyCCxUJ5oKthH3bxbE7z2bpC3tueUr_noPq8z6c9VGRSDBbEH4iIbiTgi7SrCqqV0$ – https://urldefense.com/v3/__http://data2.nhgis.org/downloads__;!!MuWMPV1_1eXDnA!gfNVgSmIQHlTBhQfdnkVvAXe_iIi-UPVuGsXmx18AWl2EliXOC2Zd9_HoHTo3hm-1Lef8tk$ – This map focuses on farm area and utilization in 1940. I wanted to compare how this would look versus how it did in 1930, with the previous data source.

https://urldefense.com/v3/__http://data2.nhgis.org/downloads__;!!MuWMPV1_1eXDnA!nIJ4Txp7LmkCYxmIPiLd8QtS-P5lk8iQTxdGZu2B5S6UI5KGmAOq3lSQYLKDAzYNP2pRTj4$ – This next data source looks at overall households in 1930 to show where the densest households are. This is important because I wanted to focus on Suburbanization and if I compare this to households in 1940 I would have a good comparison.

https://urldefense.com/v3/__http://data2.nhgis.org/downloads__;!!MuWMPV1_1eXDnA!nGWRUaj3HoiSuFFrnl8k3O3S-nwI9f2L83E1NeQ10TuGcQBsTC6uYMhmcgOk2Ui-gw6pFew$ – This data source has county population data for every county from 1930 – 1940. This has other years for data but I’m only focused on the relationship between this set to keep my story scoped.

https://urldefense.com/v3/__http://data2.nhgis.org/downloads__;!!MuWMPV1_1eXDnA!nlRBehssTiCR40kOEn6a4csyVN7LO2-bLrZh7s448o7iTNq3Q5A7OfXbd-fN2F7l0eiJMVY$ – This dataset looks at state populations in 1940. The reason that I’m interested in this is to see how people moved across the country from 1930 to 1940. This will be useful with tying in some of the scholarly sources looking at how people adapted from the Dust Bowl and if they moved.

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Stage 3

Scholarly Articles

  1. Michael J. Manfredo & Harry C. Zinn (1996) Population change and its implications for wildlife management in the New West: A case study of Colorado, Human Dimensions of Wildlife, 1:3, 62-74, DOI: 10.1080/10871209609359070

This article includes an overview on the changing population in Colorado which will give some good broad data to start off with. The article also focuses on wildlife management but this research won’t play a part in my project. As my project focuses on migration into Colorado, this article will give insights into the amount of new people are moving here.

2. Molloy, Raven, et al. “Internal Migration in the United States.” The Journal of Economic Perspectives, vol. 25, no. 3, 2011, pp. 173–96, http://www.jstor.org/stable/23049428. Accessed 5 Apr. 2022.

This article is more in-depth and focused on the trends of migration between the states. This article will give me a good idea where people are leaving from and where they are moving to. With the large influx of people coming to Colorado this article discusses this event and the data behind it.

3. Koylu, Caglar, and Alice Kasakoff. “Measuring and Mapping Long-Term Changes in Migration Flows Using Population-Scale Family Tree Data.” Cartography and Geographic Information Science, vol. 49, no. 2, 2022, pp. 154–170., https://doi.org/10.1080/15230406.2021.2011419. 

This article will allow me to get better insights into who is exactly moving to Colorado. Their family status and their marriage status to be specific. I want to get general information about the migrants to see if there are any patterns in the data that could give me a better idea as to why people are moving there.

4. Frey, William H., et al. “Migration within the United States: Role of Race-Ethnicity [with Comments].” Brookings-Wharton Papers on Urban Affairs, 2005, pp. 207–62, http://www.jstor.org/stable/25067420. Accessed 5 Apr. 2022.

This article focuses on the ethnicity and race of those who are migrating throughout the United States. Just like in the family article, I will use this to get a better idea of the groups who are moving to Colorado more and even see which groups are leaving. This will help me discover trends and be able to make hypothesizes on the trends I find.

5. Cherlin, Andrew J. “Demographic Trends in the United States: A Review of Research in the 2000s.” Journal of Marriage and Family, vol. 72, no. 3, 2010, pp. 403–19, http://www.jstor.org/stable/40732488. Accessed 5 Apr. 2022.

This article will allow me to take a more wide view of the trends in demographics across the United States. This will allow me to see where specific groups are already located so as to tell what data I collect will be the result of migration or just populations already existing in Colorado. It will also provide context for the rest of demographics based research.

6. Barbieri, Magali, et al. “The Demography of Canada and the United States from the 1980s to the 2000s: A Summary of Changes and a Statistical Assessment.” Population (English Edition, 2002-), vol. 67, no. 2, 2012, pp. 176–280, http://www.jstor.org/stable/23359538. Accessed 5 Apr. 2022.

This article covers the exact period of time which I plan to research. With a paper so close to my own research it can be nothing but helpful. This article will help me nail down the data on this specific time period and allow me to get the research I truly am looking for. This paper is another great overview of a lot of the questions I am proposing and likely holds answers that can further my project.

7. Schlanger, Sarah H. “Patterns of Population Movement and Long-Term Population Growth in Southwestern Colorado.” American Antiquity, vol. 53, no. 4, 1988, pp. 773–93, https://doi.org/10.2307/281118. Accessed 5 Apr. 2022.

This article is very specifically focused on Colorado which is wonderful to find as I am researching Colorado population movement. This is easily the most specific article I found that related to my research and should prove to be incredibly valuable. It focuses on population movement and growth in Colorado which is information I will use to base my more through research around.

8. Wei, William. “IMMIGRATION TO THE INTERMOUNTAIN WEST: THE CASE OF COLORADO.” Hawaii University International Conferences | Arts, Humanities, Social Sciences & Education, 28 Apr. 2020, https://artshumanitieshawaii.org/wei-william-2020-ahse-huic/. 

This article is written specifically about immigration to the Rocky Mountain states and more specifically, Colorado. This article will help give me an idea on where those who are immigrating to Colorado come from and what their reason is for choosing this state. This information will also give me clues as to why people from within the states are migrating here.

9. “Characteristics of Colorado in-Migrants and Out-Migrants.” Colorado Department of Local Affairs, Oct. 2018, http://hermes.cde.state.co.us/drupal/islandora/object/co:10286/datastream/OBJ/view. 

This article created by the Coloradan government itself takes a look at the exact topic of my research. It discusses those moving into Colorado and those moving out of Colorado and the reasons why. It also discusses the groups they are apart of and is filled with interesting data that will save my research a lot of time. This article is a perfect starting ground to start my research from.

10. Bol, Kirk. “Colorado’s Population and Vital Statistics – Recent Innovations and Recommendations.” Health Watch, COLORADO DEPARTMENT OF PUBLIC HEALTH AND ENVIRONMENT, Aug. 2008, https://www.cohealthdata.dphe.state.co.us/chd/Resources/pubs/population2.pdf. 

Another article written and published by the Colorado government takes a look at the population of the state as well as the heath of its residents. This article will give me basic information on the population of Colorado and its demographics but more specifically give me a look into the ages and heath of its natives. This will help me understand if the population is active and youthful and if its new migrants are making it lean in another direction.

Maps and Data

  1. Bureau, US Census. “Where Counties Are Growing.” Census.gov, 23 Mar. 2022, https://www.census.gov/library/visualizations/2022/comm/where-counties-are-growing.html. 

This map provides an overview of what counties are growing and which are shrinking due to migration. This gives me a broad sense of where new migrants are coming into Colorado as well as giving clues as to where they are coming from. It also displays how Colorado is no longer the hottest new destination as other states are receiving more migrants recently.

2. “Census Flows Mapper.” U.S. County Migration Patterns, United States Census Bureau, https://flowsmapper.geo.census.gov/map.html. 

This map gives a very detailed look into where the new migrants are coming from to live in each specific county. It also shows the counties where people are leaving that county go to which is incredibly interesting. The data is not precise but it shows me where the new migrants are coming from across the United States in a very digestible and simple way.

3. Esri. “ACS Median Age Variables.” Acs_median_age_centroids (FeatureServer), ArcGIS, https://services.arcgis.com/P3ePLMYs2RVChkJx/arcgis/rest/services/ACS_Median_Age_Centroids/FeatureServer. 

This data will provide the median ages across the country which will allow me to discover the change in age demographics between 1980 and 2020. This is one of the variables I want to study when figuring where the Colorado migrants are coming from. Discovering a pattern in the age of the migrants will help formulate a reason as to why this trend exists.

4. Esri. “2021-2026 US Population Growth.” ArcGIS Online, ArcGIS, http://demographics5.arcgis.com/arcgis/rest/services/USA_Crime/MapServer. 

This data set will allow me to take a peak into the future population growth of Colorado as a closing note on my project. I wish to end it off with predicting the demographics and growth rate of the state as a final fun little piece of research. This isn’t incredibly important but I liked the idea and the data was very easy to find.

5. “IPUMS NHGIS: National Historical Geographic Information System.” IPUMS NHGIS | National Historical Geographic Information System, https://www.nhgis.org/. 

This data set shows the national population in 1980. This data will be used to set a baseline for the country at the time and will allow me to calculate normal population growth and contrast that with the growth that comes from migration and immigration. This is a general data set that will be used so that other sources and data can build off of it.

6. 5. “IPUMS NHGIS: National Historical Geographic Information System.” IPUMS NHGIS | National Historical Geographic Information System, https://www.nhgis.org/. 

This data set shows the national population in 2020. This data will be used to set a baseline for the country at the time and will allow me to calculate normal population growth and contrast that with the growth that comes from migration and immigration. This data will be compared with that from 1980 to tell overall population growth in the nation and Colorado. This is a general data set that will be used so that other sources and data can build off of it.

7. 5. “IPUMS NHGIS: National Historical Geographic Information System.” IPUMS NHGIS | National Historical Geographic Information System, https://www.nhgis.org/. 

This data classifies and gives information on the racial demographics in the United States and Colorado in 1980. This data will be contrasted with that from 2020 in order to see the development and the outside factors that made the growth rate go up more that in naturally would. This data will also be used to see where the different groups were in other states at the time to contrast where they are in 2020.

8. 5. “IPUMS NHGIS: National Historical Geographic Information System.” IPUMS NHGIS | National Historical Geographic Information System, https://www.nhgis.org/. 

This data set will inform me about the demographics of different races in 2020 America and Colorado. This data will be compared to that from 1980 in order to see what populations grew more than others in order to see trends in what races have migrated to Colorado over the 40 year span.

9. 5. “IPUMS NHGIS: National Historical Geographic Information System.” IPUMS NHGIS | National Historical Geographic Information System, https://www.nhgis.org/. 

This data shows me the age demographics in the year 1980. This data will be used to contrast and study the differences between this and the age data from 2020. Using this data I will be able to discover trends in what ages migrated in order to figure out why specific groups move and others don’t.

10. 5. “IPUMS NHGIS: National Historical Geographic Information System.” IPUMS NHGIS | National Historical Geographic Information System, https://www.nhgis.org/. 

This data set shows the household and family numbers of the United States population in 1980. This data will help me set a baseline for the types of households that Colorado was home to in the 1980s in order to see if there is a noticeable difference in the year 2020. This will allow me to see what types of families and migrants are moving to Colorado and hopefully find trends which I can further explore.

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