Geographic Mismatch Error: Chicago Ward 34

This page measures two separate sources of geographic error in the estimates for Chicago Ward 34. The first comes from fitting today’s Census tracts and block groups into the ward boundary, and affects every statistic on the profile page. The second matters only for change-over-time comparisons: the Census Bureau redrew its tracts and block groups after the 2020 census, so older ACS releases were reported on different geography than current ones.

Error from Today’s Census Geography

Ward Geography vs. Census Geography

The map below shows how Census geographies correspond to Ward 34 boundaries in Chicago. Ward boundaries are shown with a solid black outline. The selected Census geography is shown with solid gray outlines; use the layer control to switch between Census tracts and the block-group/tract hybrid. Geographies that are partially inside and partially outside a ward are shaded in blue; the portion outside the ward is shown with orange striped shading. Demographic data from the outside portions is borrowed into the ward’s estimates and is the source of geographic mismatch error.

Map Key
Split tract — inside ward
Split tract — outside ward
Ward boundary
Tract boundary

Quantifying Geographic Aggregation Error

Using 2020 decennial census block-level data, the table below isolates the error caused by geographic aggregation. The true values come from direct aggregation of unaggregated census blocks into the ward boundary. The tract and hybrid estimates are then built from the same block data after first rolling those block counts up to census tracts or block groups, and then re-estimating the ward from those larger units. This shows the distortion introduced by using tract- or block-group-level geography instead of direct blocks. Because every figure comes from the same decennial census source, this comparison removes sampling noise and time mismatch and isolates the effect of aggregation alone.

Variable Direct Blocks
(Decennial Census Data)
Estimate (Block Data Aggregated Up)
Error (Estimate − True)
Tract Hybrid Tract Hybrid
Race
Hispanic or Latino 7.94 8.06 8.01 +0.12 pp +0.08 pp
White 57.26 56.11 56.85 -1.15 pp -0.41 pp
Black 7.57 8.77 8.30 +1.19 pp +0.73 pp
Asian 22.43 22.15 21.97 -0.27 pp -0.46 pp
Other or Multi-racial 4.80 4.91 4.87 +0.11 pp +0.06 pp
Average Absolute Error — — — 0.57 pp 0.35 pp
Age Group
Under 5 years 3.57 3.76 3.70 +0.20 pp +0.14 pp
5 to 17 years 3.60 4.42 4.08 +0.83 pp +0.48 pp
18 to 24 years 15.76 14.75 15.66 -1.01 pp -0.10 pp
25 to 44 years 58.88 56.29 57.16 -2.59 pp -1.72 pp
45 to 64 years 13.05 14.43 13.90 +1.38 pp +0.85 pp
65 years and over 5.14 6.35 5.50 +1.21 pp +0.36 pp
Average Absolute Error — — — 1.20 pp 0.61 pp
Housing Tenure
Owner-occupied 29.51 32.47 31.55 +2.96 pp +2.04 pp
Renter-occupied 70.49 67.53 68.45 -2.96 pp -2.04 pp
Average Absolute Error — — — 2.96 pp 2.04 pp
Housing Occupancy
Occupied Housing 87.08 87.86 86.95 +0.77 pp -0.13 pp
Vacant Housing 12.92 12.14 13.05 -0.77 pp +0.13 pp
Average Absolute Error — — — 0.77 pp 0.13 pp
Household Size
1-person HH 49.74 50.19 49.89 +0.46 pp +0.15 pp
2-person HH 36.59 35.74 36.39 -0.84 pp -0.19 pp
3-person HH 7.97 8.15 7.95 +0.19 pp -0.01 pp
4+ person HH 5.71 5.91 5.77 +0.20 pp +0.06 pp
Average Absolute Error — — — 0.42 pp 0.10 pp
Household Type
Family Households 31.16 31.62 31.38 +0.46 pp +0.22 pp
Married-couple Family 25.66 25.82 25.69 +0.15 pp +0.03 pp
Non-family Households 68.84 68.38 68.62 -0.46 pp -0.22 pp
Living Alone 49.74 50.19 49.89 +0.46 pp +0.15 pp
Average Absolute Error — — — 0.38 pp 0.15 pp
Average Absolute Error Across Categories — — — 1.05 pp 0.56 pp
Note: Percentages may not sum to 100% due to rounding.
Average Absolute Error: mean of absolute errors across variables within each category.
Average Absolute Error Across Categories: simple average of the six category-level averages.

Error in Change Over Time

The section above quantifies the error from squeezing today’s Census geography into ward boundaries. This section quantifies a second, separate source of error that only matters for change-over-time comparisons: the Census Bureau redraws its tracts and block groups after each decennial census. All ACS releases from 2010 through 2019 report data on 2010-vintage geography, while current releases use 2020-vintage geography. When we compare a ward’s statistics across those eras, part of any apparent “change” can come purely from the redrawn Census geography rather than from real demographic change.

To isolate that effect, we hold the demographic data completely fixed — the same 2020 decennial census block counts — and estimate Chicago Ward 34 twice: once through current 2020-vintage geography, and once through the 2010-vintage geography used by older ACS releases. Any difference between the two estimates is caused by the geography vintage alone.

Ward Geography: Today vs. 2010 Census Geography

The map below shows how Census geographies correspond to the Chicago Ward 34 boundary in each geography vintage. Use the layer control to switch between Census tracts and block groups, in both the current 2020 vintage and the 2010 vintage used by older ACS releases. Units shaded in blue were redrawn between the two vintages — typically a 2010 unit that was split into multiple 2020 units — and are relevant to the ward boundary in at least one vintage. These redrawn units are where the geography vintage can move the ward’s estimates.

Map Key
Redrawn between 2010 and 2020 vintages
Ward boundary
Tract / block group boundary (selected layer)

Quantifying Historical Geography Error

The table below isolates how much the geography vintage alone moves Chicago Ward 34’s statistics, at both the tract and block-group level. Every column is computed from the same 2020 decennial census block data, rolled up once using current 2020-vintage geography and once using 2010-vintage geography, and then re-estimated for the ward from those larger units. The vintage difference is the current-geography estimate minus the 2010-geography estimate: it is the portion of an apparent over-time “change” that would be created by the redrawn geography even if no person had moved.

Variable
Tract Estimate (Same 2020 Data)
Block Group Estimate (Same 2020 Data)
2020
Geography
2010
Geography
Diff 2020
Geography
2010
Geography
Diff
Race
Hispanic or Latino 8.06 7.98 +0.08 pp 8.01 8.03 -0.02 pp
White 56.10 56.17 -0.07 pp 56.84 56.76 +0.08 pp
Black 8.77 9.05 -0.28 pp 8.30 8.30 +0.00 pp
Asian 22.16 21.96 +0.20 pp 21.97 22.00 -0.02 pp
Other or Multi-racial 4.91 4.85 +0.06 pp 4.87 4.91 -0.05 pp
Average Absolute Difference — — 0.14 pp — — 0.03 pp
Age Group
Under 5 years 3.76 3.85 -0.09 pp 3.70 3.70 +0.00 pp
5 to 17 years 4.42 4.63 -0.21 pp 4.08 4.07 +0.00 pp
18 to 24 years 14.74 14.50 +0.24 pp 15.65 15.66 -0.01 pp
25 to 44 years 56.29 55.34 +0.95 pp 57.17 57.17 +0.00 pp
45 to 64 years 14.43 14.98 -0.55 pp 13.90 13.86 +0.04 pp
65 years and over 6.35 6.70 -0.34 pp 5.50 5.53 -0.03 pp
Average Absolute Difference — — 0.40 pp — — 0.01 pp
Housing Tenure
Owner-occupied 32.46 33.73 -1.26 pp 31.54 31.74 -0.20 pp
Renter-occupied 67.54 66.27 +1.26 pp 68.46 68.26 +0.20 pp
Average Absolute Difference — — 1.26 pp — — 0.20 pp
Housing Occupancy
Occupied Housing 87.86 88.00 -0.14 pp 86.95 87.05 -0.10 pp
Vacant Housing 12.14 12.00 +0.14 pp 13.05 12.95 +0.10 pp
Average Absolute Difference — — 0.14 pp — — 0.10 pp
Household Size
1-person HH 50.20 49.97 +0.23 pp 49.90 49.78 +0.11 pp
2-person HH 35.74 35.73 +0.01 pp 36.39 36.43 -0.04 pp
3-person HH 8.15 8.20 -0.05 pp 7.95 7.97 -0.02 pp
4+ person HH 5.91 6.09 -0.18 pp 5.76 5.82 -0.05 pp
Average Absolute Difference — — 0.12 pp — — 0.06 pp
Household Type
Family Households 31.62 32.36 -0.74 pp 31.38 31.45 -0.07 pp
Married-couple Family 25.81 26.30 -0.49 pp 25.68 25.73 -0.04 pp
Non-family Households 68.38 67.64 +0.74 pp 68.62 68.55 +0.07 pp
Living Alone 50.20 49.97 +0.23 pp 49.90 49.78 +0.11 pp
Average Absolute Difference — — 0.55 pp — — 0.08 pp
Average Absolute Difference Across Categories — — 0.43 pp — — 0.08 pp
Note: Percentages may not sum to 100% due to rounding.
Average Absolute Difference: mean of absolute differences across variables within each category.
Average Absolute Difference Across Categories: simple average of the six category-level averages.

How to Read These Numbers

This is a geography-vintage sensitivity test, not a measure of demographic change. Because the underlying data never changes — every estimate above uses the same 2020 census block counts — the vintage differences show how much of an over-time comparison could be an artifact of redrawn Census geography rather than real change. For Chicago Ward 34’s tract estimate, the largest single-variable effect is +1.26 pp (Renter-occupied share), and the average absolute effect across categories is 0.43 pp.

A few caveats:

  • The 2010 vintage covers all pre-2020 ACS releases. Census tract and block group boundaries are held fixed between decennial censuses, so every ACS window from 2010 through 2019 (including 2015–2019) is tabulated on the same 2010-vintage geography compared here. The mapping between vintages uses the NHGIS 2020-block-to-2010-block crosswalk.
  • Large vintage effects are a warning, not a correction. They flag which statistics in this ward are geography-sensitive when comparing older and newer ACS windows; they do not measure what actually changed.
  • The published change-over-time series on the profile pages crosswalks each historical ACS window to current geography before aggregating, which removes most — but not all — of this vintage sensitivity. This section bounds how large the residual geography effect could be.