race & class across chicagoland

introduction.

Earlier this year, the Census Annual Population Estimates (not to be confused with the American Community Survey) released estimates that placed Chicago in an arguably very troublesome light. With an estimated loss of just under 2,900 people (about -0.11%), Chicago was predicted to have one of the biggest population losses among major U.S. cities. It was even the only one among the 10 largest cities to see any loss. This was a bit surprising as Chicago had only recently to reverse a decade-long trend of depopulation between 2000 and 2010.

Yet looking closely at the trends of population growth and loss by different groups, one trend becomes clear: Chicago’s population loss over the most recent 15 years is most significantly driven by a decline in the city’s black community. Contrary to the conventional narrative of white flight to the suburban fringe and the concentration of communities of color in the central city, census data over the last several years point to a different reality in Chicago – one of black flight, white return, and Latino displacement.

project focus.

This project seeks to build on previous research conducted on Chicago’s demographic changes. It principally seeks to broaden the scope of earlier research to examine the entirety of the Chicagoland region, as opposed to simply the city proper. I chose to focus on the entire region to more comprehensively understand regional population shifts, acknowledging that political boundaries do not reflect actual living and commuting patterns.

More specifically, I set out to explore the following themes:

  • Chicago’s black population has steadily declined over the past several decades. What can regional shifts in black populations tell us about this out-migration from the central city? Are black households simply leaving Chicago or are they leaving the region entirely?
  • A preliminary look at population change by income-level shows that Chicago primarily lost low- and moderate-income households, while gaining very high-income ones. How do these the trends of population change by income- or education-level play out over the entire region?

Lastly, I originally planned to also explore the relationship between local land use designations with these demographic changes (inspired by access to a regional database of land use designations by parcel). Though this is still an interest of mine, I was not able to include it in this iteration of this project.

data details.

sources. My primary data source is the U.S. Census via Brown’s Longitudinal Tract Database (BLTD). I relied heavily on the BLTD as it compiles various demographic, racial, and socioeconomic variables across the years of 1970 to 2010, all matched onto the 2010 census tract designations. This data source allowed me to accurately look at change over time. I used both Full & Sample versions of the dataset, as they allowed access to different variables. Though I did not ultimately include them, I also accessed additional data directly through the US Census API to look at more granular intersections of racial and socio-economic change (such as number of black men & women with bachelor’s degree or more per tract) and used a crosswalk file from BLTD to convert them into 2010 census tracts. Shapefiles were access through the US Census as well.

scope. For the purpose of this report, I define greater Chicagoland as the 8-county region that includes the 7-counties in Northeastern Illinois under the purview of the regional MPO (Chicago Metropolitan Planning Organization) as well as Lake County in Indiana. Two additional caveats deserve mention:

  • Though I originally focused purely on the 7-county CMAP region in Illinois, I ultimately decided to also include Lake County in Indiana because (i) it quite literally abuts Chicago proper along the Illinois/Indiana border (an area affectionately known as Illiana for its blending), making it more intimately connected to the city than more recently developed exurbs, (ii) it has averaged a population of roughly 500,000 over the last 3 decades, making it a substantial part of the region, and (iii) it poses particular relevance in the study of regional black and Latino residential trends as both groups together made up almost half of the county’s population in 2010.
  • In the process of conducting my data analysis, I was also struck by how much Cook County (which holds almost the entirety of Chicago itself) dominated the region’s population. To more accurately capture regional population shifts, I decided to separate out Chicago from the rest of suburban Cook County. The rest of this study thus treats Chicago as its own “county” and suburban Cook as a separate entity. Though I did not make this distinction for this project, future research may also need to distinguish between northern suburban Cook County and southern suburban Cook County – which also have very different characteristics.

A map depicting this 9 geographic differentiation is included below.

Counties included in study

methods. Lastly, nearly all data cleaning, manipulation, and analysis occurred within Python. Other programs used include Carto (to help match tract data to shapefiles) and QGIS (to combine county shapefiles from 2 different states into one).

analysis.

I broke my analysis down into 4 parts regional racial population, spatial racial change, racial demographic change by county, and socioeconomic indicators.

i. regional racial composition by county.

First, an overall snapshot of the recent racial landscape of Chicagoland counties. The chart below shows the 2010 population of each county by race. Immediately, a couple trends are clear. First, Chicago & suburban Cook County very easily dominate the regional demographic landscape. Together they make up nearly 60% of the region’s population, and are relatively evenly populated at that. Second, Chicago unsurprisingly has the greatest numbers of Black and Latino residents, with Suburban Cook in second place. Suburban Cook, though, does have a significantly larger white population and a slightly larger Asian or Pacific Islander population. Looking at the smaller counties, most are predominantly white (especially the exurban Kendall & McHenry Counties), though Lake County (IN) does have a substantial Black community, as Kane & Lake County (IL) have a Latino one.
CHART: 2010 Population by Race & County

Looking at similar data for the 1980 census period, one other clear trend becomes apparent: all counties were substantially less diverse, though Chicago still maintained a large Black and substantial Latino community. At the regional level, almost 70% of Chicagoland-ians were white in 1980 (as compared to just over 50% in 2010).

CHART: 1980 Population by County & Race

ii. spatial racial change.

As noted above, the region saw significant racial demographic shifts over the last few decades. The following 3 maps look at these shifts at the more granular tract level for the 3 largest racial groups in Chicagoland.

white exurban sprawl + urban re-concentration. This first map examines recent change in white population by census tract. As can be seen, there are two notable patterns in white population growth: within the central city (namely, Chicago’s northern lakefront and near northwest side neighborhoods) as well as along the suburban (or exurban) regional fringe. Otherwise, most communities saw steady loss of white residents, especially the more established communities in suburban Cook County, DuPage County, and even Lake County (IN) as well.

MAP: White Population Change by Tract, 2000-2010

black flight + exurban growth nodes. In contrast to the previous map, black population change is a bit trickier to visualize due to the intense level of segregation in greater Chicago. As most census tracts do not have large populations of Black residents, they did not see significant change. The below map thus categorizes census tracts by the Natural Jenks algorithm. It depicts the depopulation that is occurring from Chicago’s South and West Sides and the concurrent growth in select parts of Kendall, Southern Cook, and central Lake (IN) Counties.

Looking at aggregate counts by geography, larger patterns in Black demographic shifts can be seen. Between 2000 and 2010, Chicago lost nearly 177,600 Black residents. The rest of the region gained almost 127,000, which suggests that black families are mostly relocating from Chicago to other parts of the region, though with a significant number also leaving. As a whole, the region lost just under 51,000 black households between 2000 and 2010 (despite still growing by 283,000).

MAP: Black Population Change by Tract, 2000-2010

Broad Latino Growth + Potential Displacement. Overall, Latino population tended to grow in the majority of census tracts. At least 75% of all census tracts in the region gained Latino residents in 2010. However, particularly strong growth was seen in the southwestern edge of Chicago, in much of Kendall County, as well as in parts of Kane. Some of the only loss of Latino residents was seen in the northwest side of Chicago, incl. communities such as Logan Square, West Town, and Humboldt Park, which have been subject to displacement pressures in recent years.

MAP: Latino Population Change by Tract, 2000-2010

iii. county-level population change by race.

Taking a step back, the charts below depict racial population change at the county-level. As stacked bars, they also depict overall population change in the county.

Several trends become apparent looking at change from 2000 to 2010. First, Chicago lost significant population, mostly driven by black depopulation. On the other hand, Suburban Cook County also just almost as many residents, though they were mostly white and offset by growth among all other racial groups. More than half of all counties in Chicagoland similarly lost white residents, suggesting a greater out-migration from the region. Similarly, though all other counties did gain Black population, Chicago’s loss of nearly 200,000 Black residents overshadowed all other gains. On the contrary, Latino and Asian/Pacific Islander communities grew in all places. Latinos even saw particularly high growth in Suburban Cook County (over 145,000), which reaffirms accounts of suburban Chicagoland’s Latino population outpacing that of the city.

CHART: Racial Change by County (2000-2010)

Taking a look further back from 1980 until 2010, slightly similar trends emerge – depicting a longer term snapshot of white flight from both Chicago and suburban Cook County. Save for Lake County in Indiana, all other non-Cook counties saw increases in White populations. Indeed, all other counties saw net increases in all racial groups.

CHART: Racial Change by County (1980-2010)

iv. socioeconomic snapshots.

Pivoting away from race, I also looked at socioeconomic indicators – beginning with income. The below boxplot examines the distribution of median household incomes of tracts within each county (incl. Chicago as a separate entity). As can be seen, several of the highest median incomes in the region come from tracts within suburban Cook County (likely among the North Shore suburbs). DuPage and Lake (IL) Counties similarly have very high-income outliers. Chicago, in contrast, has the lowest median household median income, while Kendall County has the highest concentration of higher or upper-middle class households – without any that are much lower than $50,000. McHenry County (another far suburban county) is similarly highly concentrated , while Lake County (IL) appears to have the largest spread.

CHART: 2010 Median Household Income Distribution by County

An examination of poverty levels by county, as seen below, reveals similar trends. Chicago and Lake County (IN) have the highest average poverty rates at about 22% and 20% respectively, while Kendall County has the lowest at just under 4%. In Chicago alone, half of all tracts have poverty rates above 20%. That said, Cook County does still have several high-poverty tracts. The last map below of number of college-educated adults by tract reveals parallel spatial patterns.

CHART: 2010 Population in Poverty Distribution by County

CHART: Number of College-Educated Adults by Tract in 2010

conclusions.

The maps and charts presented above show clear trends in the geography of race and class across greater Chicago. The centermost parts of the region – downtown Chicago and the city’s North side neighborhoods – are all seeing increases in white residents, more formally educated residents, and households with higher incomes. At the same time, inner-ring suburbs in outer Cook and DuPage Counties continue to experience white flight as well as general growth among Latino households. Suburbs in the southern parts of Cook County are also seeing growth in their Black populations, while the city’s historically black South and West sides continue to lose population at growing rates. At the periphery of the region, relatively more exurban counties such as Kendall and McHenry Counties are also seeing relatively fast growth among white, black and Latino residents alike.

This past week, the U.S. Census released ACS 5-year population estimates for the years covering 2011-2015. Future iterations of this project will include updated looks at recent demographic change since 2010, particularly looking at more indicators of changes in socioeconomic indicators among tracts. While tract level data allows for a thorough and granular examination of population shifts, I would also like to look at changes over time by municipality to better understand the political reality of shifting populations. Greater Chicagoland is becoming more diverse, and the concentrations of communities of color as well as low-income communities in suburban municipalities will matter for the regional equity – especially as Chicago itself (or at least the North side of it) becomes less diverse and more wealthy.

race & ethnicity in chicagoland

The maps below visualize the changing residential patterns of Black, Latino and White households across the 7 Illinois counties in the greater Chicagoland area from 1980 to 2010. I obtained the data used in each map from the Brown Longitudinal Tract Database which normalizes US Census data from 1980 through 2010 using 2010 Census tract definitions. To prepare this regional comparison, I intersected Illinois census tracts with a boundary shapefile of 7 counties in northeast Illinois: Cook, DuPage, Kane, Kendall, Lake, McHenry and Will counties. All maps are projected on NAD83/UTM Zone 16 specifications.

Each pair of maps below compares percentage of a specific racial group between 1980 and 2010. As can be seen visually, black households have remained highly concentrated in the southside of Chicago and extended further south in southern Cook County, latino households have grown in more dispersed concentrations across the region, and the percentage share of white households per census tract appears to have generally decreased since 1980 throughout much of the region.

Percent Black population (1980 vs 2010)

pctblk1980 pctblk2010

Percent Latino population (1980 vs 2010)

pcthisp1980 pcthisp2010

Percent White population (1980 vs 2010)

pctwht1980 pctwht2010

 

chicago’s affordable housing landscape

The below map uses data on Chicago affordable housing developments from the city’s Open Data Portal. To build the map, I differentiated housing projects into 4 categories: multifamily, senior, supportive or other. These are respectively represented by red, blue, green, and gray markers.

What types of affordable housing developments are located where?

The spatial pattern most apparent to me is the high concentration of multi-family affordable housing in the West and South Sides of Chicago, with a smaller cluster in the north lakefront neighborhood of Uptown. By contrast, senior housing is a bit more evenly spread throughout the city, such as in the farther Northwest sides of the city. I’d assume because it’s politically and socially deemed more acceptable to have senior housing nearby, and therefore, there are less NIMBY opponents to its construction. Supportive housing developments seem to also be somewhat clustered in areas with higher multifamily concentration, save for a small cluster in the Far South side.

 

mapping new construction in chicago

New Construction Building Permits in Chicago (2006 to present)

The map below shows the spatial distribution of new construction in Chicago from 2006 through 2016. It also shows the total number of new construction permits within each Chicago Community Area.

Insights

Between both layers of the above map, the uneven characteristic of new construction in Chicago is readily apparent. In particular:

  • New construction is most heavily concentrated in the Loop and neighborhoods just west, northwest, and north of it. While several community areas had substantial new construction outside of this central node, the 9 communities with total new construction permits above 500 were all concentrated in this cluster from the Loop and the Near West Side all the way up to Logan Square and North Center.
  • The most intensive construction activity has been seen in West Town. With only 81,432 residents in 2010, West Town accounted for about 3% of the city’s total population (2.7 million). Yet looking at new construction activity (as measured by construction permits), West Town had the greatest number of permits approved from 2006 to 2016: 1,387 (or 8.5% of permits city-wide). This level of new construction is greater than that of the 28 communities with the fewest permits This hyper development activity seems to correlate with local narratives around displacement pressures, and may offer a partial explanation as to why West Town also saw some loss of Latino population.
  • The lowest levels of construction are clustered in the Far Southwest and Far South Sides. Though several communities scattered across the Northwest and West sides had lower levels of new construction, the most significant clusters of communities without development occurred along the southwest edges of the city, as well as the far South Side.
  • Construction slowed from roughly 2009 to 2012. While not a surprising insight, the torque layer of the map also clearly shows the degree to which construction activity varied over time. In particular, it illustrates a low level of permit activity beginning just before 2009 and not really picking up again until 2012, before really booming again in 2013. A closer analysis of select time periods within the 10 year span documented here can help show which neighborhoods have become local ‘hot spots’ of construction at different points in time.

Data Details

I accessed Chicago’s building permits data (which is updated daily) on October 5th, 2016. Filtering for only those related to new construction, the city approved a total of 17, 121 new construction permits since January 2006. I then dropped any entry that didn’t have geospatial data, or any information about amount paid for permit or estimated cost of final construction. This left me with a final dataset of 16,303.

Source: City of Chicago Data Portal, Building Permits (Jan. 1, 2006 to present). Accessed on Oct. 5, 2016. Link: https://data.cityofchicago.org/Buildings/Building-Permits/ydr8-5enu/data

* NOTE: For a comparison to the issuance of demolition permits over the same time period, see map below (which I was able to simply tweak the code I wrote for the above analysis to access). Note that demolitions were also high in the same cluster where new construction permits were issued, yet the south side neighborhoods of Englewood and West Englewood also saw high levels of demolitions following the Great Recession.

 

racial & demographic change in chicago

On the data used.

The below maps feature data from the 2010 U.S. Census and the 2014 American Community Survey about racial demographic change and current socioeconomic trends by neighborhood in Chicago. While Census data is not readily available at the neighborhood level, I was able to acquire a comprehensive dataset with data compiled at the Chicago Community Area level from the Chicago Metropolitan Agency for Planning (CMAP), the region’s MPO. The units of analysis are Chicago Community Areas (CCAs), the standard neighborhood-level categorization used by most public and nonprofit agencies in Chicago to understand community level dynamics.

On the maps themselves.

The particular data I mapped highlight racial demographic trends by community area, specifically looking at the cities Black and Latino populations.

Beginning with Latino demographics, Map 1 below shows that Chicago’s Latino community in 2014 was predominantly concentrated along the Southwest and Northwest sides, with a smaller enclave also in East Chicago near the city’s border with Indiana. This map only visually confirms what many people already know about Chicago: that it has a spatially segregated residential pattern.

 

Map 1: Percent Latino in 2014

Similarly, Map 2 below shows the same data for Chicago’s black population in 2014. As is readily apparent, the city’s black population is most heavily concentrated across the south side neighborhoods, with a significant secondary concentration in the city’s west side and a medium concentration on the far north side.

Map 2: Percent Black in 2014

The last 2 maps I created still track racial demographics but instead look at relative change between 2010 and 2014. Map 3 focuses on absolute Latino population change and Map 4 focuses on Black population change. These tell two slightly different stories. In Map 3, you can see a trend of Latino population growth in communities adjacent to those with significant Latino population loss (which suggests a possible pattern of displacement). In Map 4, you can see the continued outmigration of Chicago’s black community across most south side neighborhoods.

Map 3: Change in Latino Population from 2010 to 2014

Map 4: Change in Black Population from 2010 to 2014

My general audience for these maps is anyone interested in understanding racial and demographic changes in Chicago. For policymakers, the visualizations can shed light on how different neighborhoods of the city are changing as well as the existing racialized settlement trends of the city. For advocates, the visualizations help show where resident are being displaced or which communities are rapidly depopulating.

On the map making process.

My process for creating the maps was relatively simple. Having worked with this dataset over the summer, I had already created the main variable of interest to me: racial and ethnic population change from 2010 to 2014. Yet because my dataset did not include and geospatial data, I still had to access some files with the Chicago community areas geolocation information. I was able to get this from the City of Chicago’s open data portal, which I downloaded as a KML file and uploaded via CartoDB. I was able to merge the geospatial data with my dataset using the common community name.

As for the design details of each, my biggest decisions were around the color scales. For the population change maps, I wanted to use a 2-color gradient to highlight the stark difference between population growth and loss. My goal was to intuitively match red with population loss and green with population growth (which I ended up having to manually do in CartoCSS). I also chose to use quantile categories in each choropleth map as a straightforward way to compare all 77 communities to each other. Finally, across all maps I also included hover infowindows to show identify each community area and share the relevant data for that map (such as black population change in both absolute and percentage formats).