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CV XE GIS -- Kansas City MO-KS Demographic-Economic GIS Project
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This section provides information to illustrate usage of the CV XE GIS software with the Kansas City, MO-KS Demographic-Economic GIS Project. "Project" refers to the CV XE GIS project file that is used by the CV XE GIS software to manage component files/layers and settings to render a specific map view. See more about files/layers included in this project.

Start-up view of the Kansas City CV XE project
The following graphic shows patterns of economic prosperity (median household income) by block group for the Kansas City area. Layers checked in the legend panel at left are shown in the map view window. Kansas City city appears with bold black boundary. It is easy to see which block groups, sub-neighborhoods, have higher and lower median household income. Using the same project and CV XE GIS, similar views can be made showing other types of income measures, poverty, educational attainment, enrollment, employment, language spoken at home, housing value, housing costs, among many others.


Getting Underway ...
To bring the above view up on your computer, follow these steps:
1. Install the no-fee version of CV XE (Windows 32/64) now.
    ... this no-fee version includes many powerful features.

2. After installing the CV XE software, download the Kansas City project fileset with information provided separately. Expand the downloaded zip file to the folder c:\cvxe\1.

3. With CV running, select Settings>Start-up from main menu bar. In the Setting form that appears, modify the Start-up Project setting to show "c:\cvxe\1\kansascity1.gis" (omit quotes) in the Start-up Project edit box. Save the settings, close the form and re-start CV. CV will now always open this project ("kansascity1.gis").

Start CV and the view shown at the top of this section appears.

Layers Included in the Kansas City CV XE Project
The following table shows a list of layers in the same order as shown in the legend panel in the start-up view (top of this section). With exception of the OpenStreetMap (see http:/proximityone.com/cv_osm.htm) each of the layers corresponds to a shapefile installed on the computer where CV XE GIS has been installed. The OpenStreetMap layer is provided courtesy MapQuest. ProximityOne has no direct affiliation with MapQuest nor OpenStreetMap. It is the responsibility of the user making use of OpenStreetMap services to respect the OpenStreetMap terms and conditions.
LayerNameDescription
1gz_2010_us_040_00_500k.shpU.S. by State
2k12publicschoolspt2029.SHPK-12 Schools (KS MO)
3gz_2010_us_310_m1_500k.shpU.S. Metros (CBSAs)
4tl_2012_us_primaryroads.shpU.S. Interstate
5tl_2012_29095_edges.shpJackson County, MO roads (2012)
6gz_2010_us_050_00_500k.shpU.S. by county
7gz_2010_us_160_5000_2938000.shpKansas City, MO city
8gz_2010_us_860_00_500k_2029.SHPZIP Code area (KS MO)
9tl_2010_29095_tabblock10.shpJackson County, MO by census block
10gz_2010_us_140_2029.shpCensus tract (KS MO)
11gz_2010_us_160_5000.shpU.S. by City/Place having 5,000 or more population
12sd10_2029.shpKS MO School Districts
13gz_2010_2029_150_00_500k.shpKS MO Block Groups
14mapquest_osmMapQuest OpenStreetMaps Tiles; Web-based; courtesy of MapQuest
15gz_2010_us_states.shpU.S. by State

Applications and Data

Block Group Layer. This layer/shapefile (gz_2010_2029_150_00_500k.shp) is provided for Missouri and Kansas. Subject matter items included are a subset of the 200+ items described at http://proximityone.com/bgdata.htm. The thematic map shown at the top of this section is based on item d124, median household income. More about block groups: http://proximityone.com/blockgroups.htm.

Metros & Counties Layers. Unchecking the block group layer, zooming out, widening the metro boundary, selecting only the Kansas City MSA, and turning on the county labels, renders this regional view:


Cities/Places Layer. Checking the cities/places layer on, following the above steps to view the region, renders this regional view also showing cities/places having 5,000 or more population:


School Districts & Schools Layers. Zooming in to Jackson County and checking the school districts and K-12 schools layers on, following the above steps, renders this view also showing school districts and schools:

The identify tool is used to show a profile of a selected school (see pointer).

ZIP Code Areas Layer. Zooming further into Kansas City city, unchecking the K-12 schools and school districts layers, checking the ZIP codes layer on, and following the above steps, renders this view:

The ZIP code area labels have also been turned on.

Roads Layer. Zooming further into Kansas City city (ZIP code 64112 - see above), checking the roads layer on, and following the above steps, renders this view

The identify tool is used to show a profile of a selected street segment. See pointer. Note the segment attributes include the right- and left-side address ranges, ZIP codes, among many others.

Census Blocks Layer. Checking the blocks layer on, and following the above steps, renders this view:

This further zoom-in shows blocks with labeled using the 15 character census block code.


Census Tracts Layer. Zooming out to ZIP 64112, checking the census tracts layer on, and following the above steps, renders this view:

Census tracts are labeled (white) using the 11 character census tract code. It is easy to see the relationship between census tracts and ZIP codes.

Comparative Analysis Profile
This section shows an example of a Comparative Analysis Profile for three block groups. The Comparative Analysis Profile (CAP) is a feature of the premium version of CV XE GIS.

The table presented below shows a CAP for three block groups: 29-095-007300-3 ... 29-095-007400-3 ... 29-095-007400-2. These block groups are parts of two census tracts shown in the map above. The next map shows these three adjacent block groups. A transparency setting is used on the block group layer so that the underlying OpenStreetMap layer is also visible.


ACS 2011 Demographic-Economic Characteristics for each block group and summary for composite area:
Scroll Section -- the table provides 219 demographic-economic subject matter items.
Geographic Area29-095-007300-329-095-007400-229-095-007400-3Summary
DescriptionValuePercentValuePercentValuePercentValuePercent
d001Total Population by Gender & Age (B01001)946100.00792100.00865100.002,603100.0
d002 .. Male57760.9941252.0229634.221,28549.4
d003 .. Female36939.0138047.9856965.781,31850.6
d004 .. Under 5 years00.0081.01333.82411.6
d005 .. 5 to 9 years00.0000.0000.0000.0
d006 .. 10 to 14 years00.0000.00151.73150.6
d007 .. 15 to 17 years00.0000.0000.0000.0
d008 .. 18 and 19 years00.00465.8114116.301877.2
d009 .. 20 years00.009411.8700.00943.6
d010 .. 21 years00.00475.9300.00471.8
d011 .. 22 to 24 years949.9414818.69738.4431512.1
d012 .. 25 to 29 years14615.4322728.66293.3540215.4
d013 .. 30 to 34 years9810.36425.3010812.492489.5
d014 .. 35 to 39 years555.81101.26242.77893.4
d015 .. 40 to 44 years586.13435.43293.351305.0
d016 .. 45 to 49 years919.62324.04424.861656.3
d017 .. 50 to 54 years889.3030.3811713.532088.0
d018 .. 55 to 59 years293.07344.29465.321094.2
d019 .. 60 and 61 years90.9500.00161.85251.0
d020 .. 62 to 64 years141.4800.00323.70461.8
d021 .. 65 and 66 years101.06354.42364.16813.1
d022 .. 67 to 69 years181.90101.26121.39401.5
d023 .. 70 to 74 years889.3000.00303.471184.5
d024 .. 75 to 79 years687.19121.5200.00803.1
d025 .. 80 to 84 years363.8100.00465.32823.2
d026 .. 85 years and over444.6510.13364.16813.1
d027 .. Median age 47.2... 26.6... 42.6...38.8...
Race (B02001) & Origin (B03003)
d028 Total Population946100.00792100.00865100.002,603100.0
d029 .. White alone76680.9761577.6577689.712,15782.9
d030 .. Black or African American alone848.88141.7700.00983.8
d031 .. American Indian and Alaska Native alone00.0000.00475.43471.8
d032 .. Asian alone838.7716320.58263.0127210.4
d033 .. Native Hawaiian & Other Pacific Islander alone00.0000.0000.0000.0
d034 .. Some other race alone131.3700.00161.85291.1
d035 .. Two or more races00.0000.0000.0000.0
d036 .. Hispanic (B03003)131.3791.14789.021003.8
Households by Type (B11001)
d037 Total Households748100.00440100.00499100.001,687100.0
d038 .. Family households17222.994510.2318436.8740123.8
d039 .... Married couple family16321.794510.2313527.0534320.3
d040 .... Other family91.2000.00499.82583.4
d041 ...... Male householder, no wife present00.0000.00275.41271.6
d042 ...... Female householder, no husband present91.2000.00224.41311.8
d043 .. Nonfamily households57677.0139589.7731563.131,28676.2
d044 .... Householder living alone56175.0023854.0919939.8899859.2
d045 .... Householder not living alone152.0115735.6811623.2528817.1
d046 Households with children under 18 years (B11005)00.0081.82428.42503.0
d047 Households with persons 65 yrs or over (B11007)15821.124510.2314729.4635020.7
d048 Average Household Size (B25010/H012) 1.26... 1.63... 1.73...1.54...
d049 Average Household Size -- owner occupied 1.47... 1.69... 1.50...1.55...
d050 Average Household Size -- renter occupied 1.10... 1.60... 1.88...1.53...
d050a Population in Households (B11002/P029)946100.0071890.66865100.002,52997.2
School Enrollment
d051 Population 3 years and over946100.00784100.00845100.002,575100.0
d052 .. Enrolled in school:12613.3237147.3226331.1276029.5
d053 .. Enrolled in nursery school, preschool00.0000.00131.54130.5
d054 .... Public school00.0000.0000.0000.0
d055 .... Private school00.0000.00131.54130.5
d056 .. Enrolled in kindergarten:00.0000.0000.0000.0
d057 .... Public school00.0000.0000.0000.0
d058 .... Private school00.0000.0000.0000.0
d059 .. Enrolled in grade 1 to grade 4:00.0000.0000.0000.0
d060 .... Public school00.0000.0000.0000.0
d061 .... Private school00.0000.0000.0000.0
d062 .. Enrolled in grade 5 to grade 8:00.0000.00151.78150.6
d063 .... Public school00.0000.0000.0000.0
d064 .... Private school00.0000.00151.78150.6
d065 .. Enrolled in grade 9 to grade 12:00.0091.1500.0090.3
d066 .... Public school00.0000.0000.0000.0
d067 .... Private school00.0091.1500.0090.3
d068 .. Enrolled in college undergraduate9810.3613817.6015017.7538615.0
d069 .... Public school9810.36536.7691.071606.2
d070 .... Private school00.008510.8414116.692268.8
d071 .. Enrolled in graduate or profession282.9622428.578510.0633713.1
d072 .... Public school00.0014117.988510.062268.8
d073 .... Private school282.968310.5900.001114.3
d074 .. Not enrolled in school82086.6841352.6858268.881,81570.5
Educational Attainment (B15002)
d075 Population 25 years and over852100.00449100.00603100.001,904100.0
d076 .. No schooling completed00.0000.0000.0000.0
d077 .. Nursery to 4th Grade00.0000.0000.0000.0
d078 .. 5th and 6th Grade00.0000.0000.0000.0
d079 .. 7th and 8th Grade00.0010.2200.0010.1
d080 .. 9th Grade00.0000.0071.1670.4
d081 .. 10th Grade00.0092.0000.0090.5
d082 .. 11th Grade00.0000.0000.0000.0
d083 .. 12th, no diploma00.00122.6700.00120.6
d084 .. High School Graduate, GED, or alternative515.99163.567812.941457.6
d085 .. Some college, less than 1 year00.0000.00121.99120.6
d086 .. Some college, 1 or more years, no degree10812.689521.169916.4230215.9
d087 .. Associate's degree536.22173.79447.301146.0
d088 .. Bachelor's degree28333.2212126.9512120.0752527.6
d089 .. Master's degree22226.0614532.2915826.2052527.6
d090 .. Professional school degree12014.08245.35609.9520410.7
d091 .. Doctorate degree151.7692.00243.98482.5
Language Spoken at Home (B16004)
d092 Population 5 years and over946100.00784100.00832100.002,562100.0
d093 .. Population 5 to 17 years:00.0000.00151.80150.6
d094 .. Speak only English00.0000.00151.80150.6
d095 .. Speak Spanish:00.0000.0000.0000.0
d096 .... Speak English "not well"00.0000.0000.0000.0
d097 .... Speak English "not at all"00.0000.0000.0000.0
d098 .. Speak other Indo-European languages:00.0000.0000.0000.0
d099 .... Speak English "not well"00.0000.0000.0000.0
d100 .... Speak English "not at all"00.0000.0000.0000.0
d101 .. Speak Asian and Pacific Island languages:00.0000.0000.0000.0
d102 .... Speak English "not well"00.0000.0000.0000.0
d103 .... Speak English "not at all"00.0000.0000.0000.0
d104 .. Speak other languages:00.0000.0000.0000.0
d105 .... Speak English "not well"00.0000.0000.0000.0
d106 .... Speak English "not at all"00.0000.0000.0000.0
Household Income Past 12 Months (B19001)
d107 Households748100.00440100.00499100.001,687100.0
d108 .. Less than $10,0009612.8310724.327214.4327516.3
d109 .. $10,000 to $14,99900.0000.00102.00100.6
d110 .. $15,000 to $19,999314.145712.95234.611116.6
d111 .. $20,000 to $24,999405.35296.597014.031398.2
d112 .. $25,000 to $29,999456.0292.0500.00543.2
d113 .. $30,000 to $34,999729.6300.00255.01975.7
d114 .. $35,000 to $39,99900.00306.8200.00301.8
d115 .. $40,000 to $44,999111.4700.00173.41281.7
d116 .. $45,000 to $49,999152.01378.41102.00623.7
d117 .. $50,000 to $59,999304.01276.14142.81714.2
d118 .. $60,000 to $74,999567.49368.186312.631559.2
d119 .. $75,000 to $99,999405.355211.8200.00925.5
d120 .. $100,000 to $124,99991.20214.77204.01503.0
d121 .. $125,000 to $149,999587.7500.00479.421056.2
d122 .. $150,000 to $199,9998411.23184.0981.601106.5
d123 .. $200,000 or more16121.52173.8612024.0529817.7
d124 .. Median Household Income (B19003)73,333...37,045...60,817...57,065
Other Income and Poverty Measures
d125 .. Median Family Income (B19113)156,023...74,896...69,500...100,140
d126 .. Per Capita Income (B19301)91,290...30,769...82,077...68,045
d127 .. All families (B17010)172100.0045100.00184100.00401100.0
d128 .... With income past 12 months below poverty leve00.0000.003217.39328.0
d129 ...... Married-couple family (in poverty)00.0000.00105.43102.5
d130 ........ With related children under 18 yrs00.0000.0000.0000.0
Employment Status (B23025)
d133 Population 16 years and over946100.00784100.00817100.002,547100.0
d134 .. In labor force70274.2158574.6260373.811,89074.2
d135 .... In Armed Forces00.0000.0000.0000.0
d136 .... Civilian70274.2158574.6260373.811,89074.2
d137 ...... Employed57961.2157373.0948058.751,63264.1
d138 ...... Unemployed12313.00121.5312315.0625810.1
d139 .. Not in labor force24425.7919925.3821426.1965725.8
d140 Housing Units (B25001)828100.00531100.00567100.001,926
d141 .. Occupied housing units74890.3444082.8649988.011,68787.6
d142 .... Owner-occupied housing units32739.4917332.5819534.3969536.1
d143 .... Renter-occupied housing units42150.8526750.2830453.6299251.5
d144 .. Vacant housing units809.669117.146811.9923912.4
d145 .... For Rent00.009117.1400.00914.7
d146 .... For seasonal, recreational, occasional use414.9500.0000.00412.1
Units in Structure (B25024)0.0
d147 Total Housing Units828100.00531100.00567100.001,926100.0
d148 .. 1, detached232.789618.08396.881588.2
d149 .. 1, attached495.92122.26152.65763.9
d150 .. 2121.45203.7700.00321.7
d151 .. 3 or 400.0017132.2013022.9330115.6
d152 .. 5 to 900.00468.6611019.401568.1
d153 .. 10 to 1900.008315.63457.941286.6
d154 .. 20 to 499411.357814.6911119.5828314.7
d155 .. 50 or more65078.50254.7111720.6379241.1
d156 .. Mobile home00.0000.0000.0000.0
d157 .. Boat, RV, van, etc.00.0000.0000.0000.0
Year Structure Built (B25024)
d158 Total Housing Units828100.00531100.00567100.001,926100.0
d159 .. Built 2005 or later101.21142.6411219.751367.1
d160 .. Built 2000 to 200400.0000.009616.93965.0
d161 .. Built 1990 to 199991.0981.51111.94281.5
d162 .. Built 1980 to 1989151.81397.3400.00542.8
d163 .. Built 1970 to 19798610.399317.51162.8219510.1
d164 .. Built 1960 to 196918722.589517.896210.9334417.9
d165 .. Built 1950 to 1959536.4081.51488.471095.7
d166 .. Built 1940 to 1949414.955510.36193.351156.0
d167 .. Built 1939 or earlier42751.5721941.2420335.8084944.1
d168 Median Year Structure Built1,939...1,948...1,962...1,950
Value (B25075)
d169 Owner-Occupied Housing Units327100.00173100.00195100.00695100.0
d170 .. Less than $10,00000.0000.0000.0000.0
d171 .. $10,000 to $14,99900.0000.0000.0000.0
d172 .. $15,000 to $19,99900.0000.0000.0000.0
d173 .. $20,000 to $24,99900.0000.0000.0000.0
d174 .. $25,000 to $29,99900.0000.0000.0000.0
d175 .. $30,000 to $34,99900.0000.0000.0000.0
d176 .. $35,000 to $39,99900.0000.0000.0000.0
d177 .. $40,000 to $49,99900.0000.0000.0000.0
d178 .. $50,000 to $59,99900.0000.0000.0000.0
d179 .. $60,000 to $69,99900.0000.0000.0000.0
d180 .. $70,000 to $79,99900.0000.0000.0000.0
d181 .. $80,000 to $89,99900.0000.0000.0000.0
d182 .. $90,000 to $99,99900.00116.3600.00111.6
d183 .. $100,000 to $124,99992.75148.09157.69385.5
d184 .. $125,000 to $149,99900.003218.50115.64436.2
d185 .. $150,000 to $174,99900.002112.1400.00213.0
d186 .. $175,000 to $199,999154.5900.002311.79385.5
d187 .. $200,000 to $249,9996218.962514.452613.3311316.3
d188 .. $250,000 to $299,9994413.4600.0000.00446.3
d189 .. $300,000 to $399,9998124.772715.6184.1011616.7
d190 .. $400,000 to $499,999247.343117.9200.00557.9
d191 .. $500,000 to $749,999278.26126.947538.4611416.4
d192 .. $750,000 to $999,9995215.9000.00126.15649.2
d193 .. $1,000,000 or more133.9800.002512.82385.5
d194 Median Housing Value (owner-occupied units)341,400...217,000...548,300...368,900
Gross Rent (B25063)
d195 Renter-Occupied Housing Units421100.00267100.00304100.00992100.0
d196 With Cash Rent38892.1625394.76304100.0094595.3
d197 .. Less than $10000.0000.0000.0000.0
d198 .. $100 to $14900.0000.0000.0000.0
d199 .. $150 to $199122.8500.0000.00121.2
d200 .. $200 to $24900.0000.0000.0000.0
d201 .. $250 to $29900.0000.0000.0000.0
d202 .. $300 to $34900.0000.0000.0000.0
d203 .. $350 to $39900.0000.0000.0000.0
d204 .. $400 to $44900.0000.0000.0000.0
d205 .. $450 to $49900.00103.7500.00101.0
d206 .. $500 to $54900.006423.9700.00646.5
d207 .. $550 to $59911026.1300.004414.4715415.5
d208 .. $600 to $649399.2683.0082.63555.5
d209 .. $650 to $699276.413513.1192.96717.2
d210 .. $700 to $74911226.6000.00216.9113313.4
d211 .. $750 to $79992.14165.993110.20565.6
d212 .. $800 to $899153.564014.988828.9514314.4
d213 .. $900 to $99900.00176.373611.84535.3
d214 .. $1,000 to $1,249276.414316.10103.29808.1
d215 .. $1,250 to $1,499266.18207.4972.30535.3
d216 .. $1,500 to $1,99900.0000.0000.0000.0
d217 .. $2,000 or more112.6100.005016.45616.1
d218 No Cash Rent337.84145.2400.00474.7
d219 Median Gross Rent (renter-occupied; cash rent)703...780...844...776

Additional Information
ProximityOne develops geographic-demographic-economic data and analytical tools and helps organizations knit together and use diverse data in a decision-making and analytical framework. We develop custom demographic/economic estimates and projections, develop geographic and geocoded address files, and assist with impact and geospatial analyses. Wide-ranging organizations use our tools (software, data, methodologies) to analyze their own data integrated with other data. Follow ProximityOne on Twitter at www.twitter.com/proximityone. Contact ProximityOne (888-364-7656) with questions about data covered in this section or to discuss custom estimates, projections or analyses for your areas of interest.


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