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Congress_11072011(1)_A5
Plan Type: Private Draft
Date: November 7th, 2011
Bore the initials "JAK" - i.e., J. Alex Kelly, a House Redistricting staffer
Download this map:  ESRI Shapefile   DOJ Text File   GeoJSON   (What are these?)


NO
Contiguous?
12
Democrat
-
 
15
Republican
YES
Complete?


0.38
Compactness:
Reock
0.28
Compactness:
Polsby-Popper
27
Split
Counties
74
Split
Cities




District Stats
Click on a row to highlight district in map
District Population Population Devation % Black
Age 18+
% Hispanic
Age 18+
Compactness
Reock
Compactness
Polsby-Popper
Obama 2008 % Sink 2010 %
1 696,345 0.00% 13.2% 4.5% 0.37 0.38 32.4% 32.2%
10 696,344 -0.00% 4.8% 7.1% 0.42 0.31 51.1% 50.0%
11 696,344 -0.00% 26.4% 18.5% 0.33 0.15 65.1% 63.0%
12 696,345 0.00% 5.8% 8.8% 0.58 0.62 48.4% 45.9%
13 696,345 0.00% 5.0% 12.4% 0.21 0.29 42.2% 36.7%
14 696,445 0.01% 11.4% 17.4% 0.52 0.42 46.2% 43.0%
15 696,345 0.00% 7.6% 6.4% 0.18 0.22 44.4% 42.3%
16 696,344 -0.00% 4.4% 9.5% 0.51 0.39 47.4% 45.1%
17 697,107 0.11% 55.7% 33.2% 0.45 0.38 86.8% 86.4%
18 696,394 0.01% 10.8% 11.9% 0.54 0.46 51.3% 48.8%
19 695,794 -0.08% 11.3% 18.5% 0.27 0.20 64.4% 63.6%
2 696,345 0.00% 23.8% 4.7% 0.46 0.42 47.5% 53.5%
20 696,375 0.00% 50.6% 18.4% 0.48 0.17 81.0% 79.6%
21 695,937 -0.06% 7.7% 75.0% 0.42 0.30 48.5% 48.2%
22 695,882 -0.07% 10.1% 17.7% 0.18 0.11 56.8% 54.4%
23 696,418 0.01% 10.0% 37.4% 0.26 0.17 61.8% 61.2%
24 696,340 -0.00% 10.7% 8.2% 0.39 0.30 43.8% 42.2%
25 696,616 0.04% 8.1% 70.1% 0.47 0.42 46.4% 42.4%
26 696,345 0.00% 13.1% 22.3% 0.40 0.35 50.3% 46.1%
27 696,472 0.02% 10.2% 68.9% 0.18 0.20 50.1% 50.0%
3 696,344 -0.00% 50.2% 10.0% 0.10 0.05 70.0% 66.2%
4 696,344 -0.00% 12.4% 6.9% 0.56 0.14 36.6% 36.4%
5 696,362 0.00% 11.4% 5.8% 0.46 0.30 39.0% 41.9%
6 696,345 0.00% 11.4% 30.3% 0.28 0.18 54.8% 50.9%
7 696,344 -0.00% 9.7% 8.3% 0.33 0.33 47.0% 43.9%
8 696,345 0.00% 9.3% 18.6% 0.40 0.23 50.2% 48.4%
9 696,344 -0.00% 9.5% 22.9% 0.47 0.14 47.5% 46.6%


Similar Maps
Calculated by uniquely pairing each district between two maps to maximize the population that falls in the overlapping regions. The reported figure is the percentage of the state population in the overlap. Only complete, 27-district maps are included for this analysis.

Congress_11072011(1)_A4: 94.8%
Congress_11072011(2): 94.3%
Congress_11082011(3): 93.4%
Congress_11072011(1)_A2: 91.3%
Congressional 1: 90.2%
H000C9033: 89.1%
H000C9001: 89.1%
AlexAmendment_1to9043: 87.5%
AlexJPAmendment_2to9043 Orange Park Whole: 87.4%
AlexJPAmendment_2to9043: 87.4%
Congressional 3: 87.3%
H000C9005: 87.3%
H000C9037: 87.3%
AlexJPAmendment_2to9043 6cities: 87.3%
JP Hillsborough District ver2: 86.8%
H000C9009: 86.8%
Congressional 5: 86.8%
JP Hillsborough District: 86.8%
H000C9041: 86.8%
Congressional 7: 86.2%



Similar Districts
Districts in other maps that match closely to districts in this map, judged by the percentage of overlapping population.

District 1 District 1, H000C9013: 100.0%
District 1, Congressional 8: 100.0%
District 1, HPUBC0196: 100.0%
District 1, Congressional 7: 100.0%
District 1, Congressional 5: 100.0%
District 1, Congressional 4: 100.0%
District 1, Congressional 3: 100.0%
District 1, Congressional 2: 100.0%
District 1, Congressional 1: 100.0%
District 1, Congressional Base: 100.0%
District 2 District 2, AlexAmendment_1to9043: 100.0%
District 2, AlexJPAmendment_2to9043: 100.0%
District 2, draftc07b: 100.0%
District 2, draftc07c: 100.0%
District 2, AlexJPAmendment_2to9043 6cities: 100.0%
District 2, JPAmendment_3to9043_Okeechobee whole: 100.0%
District 2, JAK_JP edits CD 20 Alternative CD 21 and 22 east west: 100.0%
District 2, PCBNov2011: 100.0%
District 2, JAK CD 20 Alternative CD 21 and 22 east west: 100.0%
District 2, H000C9047_27Cities_EW: 100.0%
District 3 District 3, Congress_11072011(1)_A4: 100.0%
District 3, Congress_11072011(1)_A2: 100.0%
District 26, HPUBC0001: 99.4%
District 3, HPUBC0139: 99.3%
District 3, CD 17 with port and airport: 89.0%
District 3, 2002-2010 Enacted Map: 89.0%
District 3, CD9 minus Hillsborough: 89.0%
District 5, H000C9047- in progress: 87.9%
District 5, H000C9047_27Cities_Hollywood_CD5over50: 87.9%
District 5, H000C9047_27Cities_Hollywood_NS2122_CD15Bartow: 87.9%
District 4 District 4, Congress_11072011(1)_A2: 100.0%
District 4, Congress_11072011(1)_A4: 100.0%
District 24, HPUBC0001: 97.9%
District 3, Congress_11082011(3): 94.4%
District 4, Cong 132 rev12: 94.0%
District 4, Cong 132 rev13 rev cent hisp: 94.0%
District 4, Cong 132 rev13: 94.0%
District 7, Congressional 2revised5: 93.8%
District 7, Congressional 2revised4: 93.8%
District 7, Congressional 2revised6: 93.8%
District 5 District 5, Congress_11072011(1)_A4: 100.0%
District 5, Congress_11072011(1)_A2: 100.0%
District 5, Congress_11072011(2): 82.7%
District 6, HPUBC0093: 82.6%
District 6, HPUBC0070: 82.6%
District 6, HPUBC0099: 82.6%
District 6, HPUBC0110: 82.6%
District 3, BeachvsAgP: 82.6%
District 3, HPUBC0160: 82.5%
District 4, HPUBC0057: 81.9%
District 6 District 19, HPUBC0001: 90.3%
District 6, Congress_11072011(2): 89.5%
District 6, Congress_11082011(3): 89.5%
District 6, Congressional Base - Perfect Pieces: 86.8%
District 10, H000C9033: 86.6%
District 6, Congressional 1: 86.6%
District 10, H000C9001: 86.6%
District 8, AB_C001: 84.3%
District 19, HPUBC0136: 78.2%
District 12, Congressional 3: 68.0%
District 7 District 7, Congress_11072011(1)_A4: 100.0%
District 7, Congress_11072011(1)_A2: 100.0%
District 6, HPUBC0069: 95.4%
District 6, HPUBC0065: 95.4%
District 7, Cong 132 rev13 rev cent hisp: 95.2%
District 7, Cong 132 rev11: 95.2%
District 7, Cong 132 rev13: 95.2%
District 7, Cong 132 rev12: 95.2%
District 26, HPUBC0106: 94.8%
District 5, Cong Dist 4 - 50+ Blk VAP 2: 94.0%
District 8 District 17, HPUBC0001: 99.6%
District 9, SPUBC0062: 94.9%
District 9, HPUBC0019: 94.9%
District 8, Congress_11082011(3): 91.3%
District 8, Congress_11072011(2): 91.3%
District 7, H000C9009: 90.8%
District 7, H000C9041: 90.8%
District 8, Congressional Base - Perfect Pieces: 90.8%
District 8, Congressional 3: 90.8%
District 7, H000C9037: 90.8%
District 9 District 9, Congress_11072011(1)_A4: 100.0%
District 9, Congress_11072011(1)_A2: 100.0%
District 9, Congress_11072011(2): 94.7%
District 9, Congress_11082011(3): 91.9%
District 9, Congressional 1: 91.9%
District 15, H000C9033: 91.9%
District 15, H000C9001: 91.9%
District 15, AlexJPAmendment_2to9043: 79.7%
District 15, AlexJPAmendment_2to9043 Orange Park Whole: 79.7%
District 15, AlexAmendment_1to9043: 79.7%
District 10 District 13, H000C9001: 100.0%
District 10, Congress_11072011(1)_A2: 100.0%
District 10, Congress_11072011(1)_A4: 100.0%
District 13, H000C9033: 100.0%
District 10, Congress_11072011(2): 100.0%
District 10, Congress_11082011(3): 100.0%
District 10, Congressional 1: 100.0%
District 12, HPUBC0065: 93.5%
District 12, HPUBC0069: 93.5%
District 13, H000C9047_26Cities Brevard split Hillsborough district: 93.4%
District 11 District 11, Congress_11072011(1)_A2: 100.0%
District 11, Congress_11072011(1)_A4: 100.0%
District 11, Congressional 1: 98.2%
District 11, Congress_11082011(3): 98.2%
District 11, Congress_11072011(2): 98.2%
District 14, H000C9001: 98.1%
District 14, H000C9033: 98.1%
District 14, JAK CD 20 Alternative CD 21 and 22 east west: 79.1%
District 14, H000C9047_27Cities_Miami-DadeShift: 79.1%
District 14, H000C9047_27Cities_Miami-DadeShiftandOkeechobee: 79.1%
District 12 District 12, Congress_11072011(1)_A2: 100.0%
District 12, Congress_11072011(1)_A4: 100.0%
District 21, HPUBC0151: 99.7%
District 11, HPUBC0150: 99.6%
District 13, SPUBC0051: 99.6%
District 16, HPUBC0194: 99.6%
District 1, Sarasota and Manatee Counties in a CD: 99.6%
District 13, HPUBC0097: 99.2%
District 17, HPUBC0036: 99.2%
District 18, HPUBC0041: 99.2%
District 13 District 13, Congress_11072011(1)_A4: 100.0%
District 14, PCBNov2011: 94.7%
District 13, Congressional 9: 94.7%
District 13, Congressional 8: 94.7%
District 13, Congressional 7: 94.7%
District 13, Congressional 5: 94.7%
District 19, H000C9007: 94.7%
District 19, SFloridaAlternative: 94.7%
District 19, H000C9045b: 94.7%
District 19, AlexAmendment_1to9043: 94.7%
District 14 District 26, AB_C001: 80.5%
District 14, Congress_11072011(1)_A4: 78.2%
District 14, Congress_11072011(2): 78.0%
District 7, Congressional 9: 77.2%
District 7, Congressional 5: 76.5%
District 17, H000C9041: 76.5%
District 17, H000C9009: 76.5%
District 17, H000C9005: 76.4%
District 16, Congressional 3: 76.4%
District 17, H000C9037: 76.4%
District 15 District 15, Congress_11072011(1)_A4: 100.0%
District 15, Congressional 2revised5: 87.8%
District 15, Congress2: 86.4%
District 15, Cong 132 rev12: 86.3%
District 15, Cong 132 rev11: 86.3%
District 15, Cong 132 rev13: 86.3%
District 15, Cong 132 rev13 rev cent hisp: 86.3%
District 11, HPUBC0026: 86.0%
District 11, HPUBC0065: 85.5%
District 11, HPUBC0069: 85.5%
District 16 District 16, Congress_11072011(1)_A4: 100.0%
District 16, Congress_11072011(1)_A2: 100.0%
District 7, HPUBC0003: 95.7%
District 7, HPUBC0150: 94.7%
District 11, HPUBC0160: 94.6%
District 24, Congressional Base - Perfect Pieces: 94.5%
District 24, Congressional 5: 94.5%
District 24, Congressional 7: 94.5%
District 12, H000C9005: 94.5%
District 12, H000C9037: 94.5%
District 17 District 17, Cong Dist 4 - 50+ Blk VAP 2 working: 100.0%
District 17, Cong Dist 4 - 50+ Blk VAP: 100.0%
District 17, Congressional 2revised7: 100.0%
District 17, Congress_11072011(2): 100.0%
District 17, Congressional 2revised2: 100.0%
District 17, Congressional 2revised3: 100.0%
District 17, Congressional 2revised4: 100.0%
District 17, Congressional 2revised5: 100.0%
District 17, Congress_11072011(1)_A4: 100.0%
District 17, Congressional 2revised6: 100.0%
District 18 District 18, Congress_11072011(1)_A4: 100.0%
District 18, Congressional 2revised5: 100.0%
District 18, Congress_11072011(2): 100.0%
District 18, Congress_11162011(6): 100.0%
District 18, Congressional 2revised3: 100.0%
District 18, Congressional 2revised2: 100.0%
District 18, Congress_11082011(3): 100.0%
District 18, Congress_11072011(1)_A2: 100.0%
District 18, Congressional 4: 100.0%
District 18, Congressional 2revised4: 100.0%
District 19 District 19, Congress_11152011(5): 100.0%
District 19, Congressional 2revised2: 100.0%
District 19, Congress_11082011(3): 100.0%
District 19, Congressional 1: 100.0%
District 19, Cong Dist 4 - 50+ Blk VAP 2 working: 100.0%
District 19, Cong Dist 4 - 50+ Blk VAP 2: 100.0%
District 19, Congress_11162011(6): 100.0%
District 19, Congressional 2revised3: 100.0%
District 19, Congressional 2revised1: 100.0%
District 19, Cong Dist 4 - 50+ Blk VAP: 100.0%
District 20 District 20, Congress_11152011(5): 100.0%
District 20, Congress_11072011(1)_A2: 100.0%
District 20, Cong Dist 4 - 50+ Blk VAP: 100.0%
District 20, Cong Dist 4 - 50+ Blk VAP 2 working: 100.0%
District 20, Cong Dist 4 - 50+ Blk VAP 2: 100.0%
District 20, Congress_11072011(1)_A4: 100.0%
District 20, Congress_11072011(2): 100.0%
District 20, Congress_11082011(3): 100.0%
District 20, Congress_11162011(6): 100.0%
District 20, Congressional 2revised1: 100.0%
District 21 District 21, Cong Dist 4 - 50+ Blk VAP 2 working: 100.0%
District 21, Cong Dist 4 - 50+ Blk VAP: 100.0%
District 21, Congressional 2revised3: 100.0%
District 21, Congress_11072011(1)_A2: 100.0%
District 21, Cong Dist 4 - 50+ Blk VAP 2: 100.0%
District 21, Congressional 2revised2: 100.0%
District 21, Congressional 2revised4: 100.0%
District 21, Congressional 2revised5: 100.0%
District 21, Congressional 2revised6: 100.0%
District 21, Congressional 2revised7: 100.0%
District 22 District 22, Congressional 2revised4: 100.0%
District 22, Congressional 2revised5: 100.0%
District 22, Congressional 1: 100.0%
District 22, Congressional 2revised6: 100.0%
District 22, Congress_11082011(3): 100.0%
District 22, Congress_11162011(6): 100.0%
District 22, Congressional 2revised2: 100.0%
District 22, Congress_11072011(1)_A2: 100.0%
District 22, Congress_11152011(5): 100.0%
District 22, Congressional 2revised1: 100.0%
District 23 District 23, Congress_11082011(3): 100.0%
District 23, Congress_11072011(1)_A4: 100.0%
District 23, Congress_11072011(1)_A2: 100.0%
District 23, Congressional 4: 100.0%
District 23, Congressional 1: 100.0%
District 23, Cong Dist 4 - 50+ Blk VAP 2: 100.0%
District 23, Cong Dist 4 - 50+ Blk VAP 2 working: 100.0%
District 23, Congress_11072011(2): 100.0%
District 23, Congressional 2revised7 revised cb seat: 100.0%
District 23, Congressional 2: 100.0%
District 24 District 24, Congress_11072011(1)_A2: 100.0%
District 24, Congress_11072011(1)_A4: 100.0%
District 7, HPUBC0070: 88.5%
District 7, HPUBC0093: 88.5%
District 7, HPUBC0099: 88.5%
District 6, HPUBC0160: 88.2%
District 6, HPUBC0149: 87.8%
District 5, SPUBC0033: 87.5%
District 1, HPUBC0022: 87.3%
District 6, HPUBC0150: 86.8%
District 25 District 25, Congress_11072011(2): 100.0%
District 25, Cong Dist 4 - 50+ Blk VAP: 100.0%
District 25, Congressional 2revised1: 100.0%
District 25, Congress_11152011(5): 100.0%
District 25, Congress_11082011(3): 100.0%
District 25, Congress_11072011(1)_A4: 100.0%
District 25, Congress_11072011(1)_A2: 100.0%
District 25, Cong Dist 4 - 50+ Blk VAP 2: 100.0%
District 25, Cong Dist 4 - 50+ Blk VAP 2 working: 100.0%
District 25, Congress_11162011(6): 100.0%
District 26 District 26, Congress_11072011(2): 89.6%
District 26, Congress_11082011(3): 89.6%
District 26, Congressional 1: 89.1%
District 9, H000C9001: 89.1%
District 9, H000C9033: 89.1%
District 23, HPUBC0162: 87.9%
District 11, HPUBC0003: 85.1%
District 15, AB_C001: 84.8%
District 11, HPUBC0042: 84.4%
District 11, HPUBC0039: 84.4%
District 27 District 27, Cong Dist 4 - 50+ Blk VAP 2: 100.0%
District 27, Cong Dist 4 - 50+ Blk VAP 2 working: 100.0%
District 27, Cong Dist 4 - 50+ Blk VAP: 100.0%
District 27, Congress_11162011(6): 100.0%
District 27, Congressional 2revised1: 100.0%
District 27, Congressional 2revised2: 100.0%
District 27, Congressional 2: 100.0%
District 27, Congressional 1: 100.0%
District 27, Congressional 2revised5: 100.0%
District 27, Congressional 2revised3: 100.0%

A map is considered contiguous is when each district is a single, uninterrupted piece: you should be able to move between any two points in a district without having to cross into another district to complete the journey. This is a requirement under the Florida Constitution.

Most of the maps that are non-contiguous here are due to small flecks of geography being misassigned, which is a surprisingly easy mistake to make in the map editing process.

Do the districts cover the entire state? Usually an incomplete map is intentional - the drawer was illustrating an arrangement for just part of the state - but sometimes drawers missed assigning all the geography by accident.

These figures are based on each district's average estimated vote in the 2008 presidential election and the 2010 gubernatorial election. These two races were picked for several reasons.

First, these estimates were made available to map drawers by the state for the initial redistricting process, so these would be actual data they were looking at.

Second, while these are congressional districts, using previous congressional election results isn't a good option: some districts were uncompetitive (or completely uncontested), meaning that the number of Democrats or Republicans being reported would be skewed in certain parts of the state. Presidential and gubernatorial races in Florida, on the other hand, are statewide, high-profile, and competitive, making them a good estimate of a district's partisanship.

Finally, 2008 was a Democratic wave year, while 2010 was a Republican wave year, so averaging the two races provides a more balanced look than just using one or the other.

The Florida Constitution bans the drawing of districts with the intent to favor a political party. Because intent is required, an imbalanced map is not unconstitutional, per se, but should be viewed with skepticism.

Compactness is the general idea that a district should be made up of an area that is all close together, rather than spread out. In practice, there are dozens of ways to measure more specific definitions of this concept, and this site presents two of them. In both measures, scores range from 0 to 1, with 1 being the best.

Reock compares the area of a district to the area of the smallest circle that can contain the entire district. A perfect score, then, is a district that is also a circle, and as the district stretches away from that ideal, the worse the score will be. Districts that are especially spread out get penalized worst.

Polsby-Popper takes advantage of the fact that the shape with the largest area given a certain perimeter length is a circle, and compares the area of the district to the area of a circle with the same perimeter. Again, the best score would be given to a circle, and like Reock, Polsby-Popper does penalize spread-out-ness, but it also picks up the smoothness of the district boundary. A district with a lot of tendrils reaching out to pick up small neighborhoods while avoiding others would have a large perimeter relative to its area, and a bad Polsby-Popper score.

Compactness is a second tier requirement under the Florida Constitution, to be followed provided it does not interfere with first tier requirements (contiguity, no racial discrimination, no drawing maps for partisan or incumbent gain).

The Florida Constitution says that districts should follow existing political and geographical boundaries where feasible as a second tier requirement, provided it does not interfere with first tier requirements (contiguity, no racial discrimination, no drawing maps for partisan or incumbent gain). Litigation surrounding the district maps have gotten at this partly by counting how many of Florida's 67 counties and 410 (as of 2010) municipalities were split across two or more districts. Due to equal population requirements, zero splits for either is impossible, but fewer splits are seen as better than more.

Maps are available in three formats for download. ESRI Shapefiles are a format developed by ESRI for their software package ArcGIS, and due to its popularity, is supported by almost all GIS software available. DOJ text files assign each census block in the state to a particular district, and notably can be imported into the State House's MyDistrictBuilder software for examination and editing. GeoJSON is another plain-text format, which sees heavy use in web-based mapping projects (such as this one).