Industry

Restaurant

Focus

Increase foot traffic

ZIP Codes

64108, 64101, 64102, 64105, 64106, 64109, 64111, 64127, 66103, 66118

Restaurant Market Demographics Analysis

Executive Summary

This analysis examines demographic patterns across 10 ZIP codes in the Kansas City metropolitan area to understand the community characteristics surrounding your restaurant locations. The service area encompasses diverse urban and suburban neighborhoods with a total population ranging from just 28 residents to over 17,600 per ZIP code. The weighted demographic profile reveals a market area characterized by young professionals, urban renters, and educated workers with moderate to higher incomes.

Key Demographic Findings from Neighborhood Analysis

Population and Age Structure

The analyzed ZIP codes show significant variation in population density, with an average of 9,393 residents per area. Age distribution (the percentage breakdown of residents by age group) reveals a notably young market, with 25-34 year-olds representing the largest segment at 38.6% on average across neighborhoods. This young adult concentration varies dramatically by location, ranging from 13% to 100% of the population in different ZIP codes.

Gender distribution (the split between male and female residents) averages 54.1% male and 45.9% female across the service area, with some areas showing significant male concentration (up to 80.1% in one ZIP code).

The dependency ratio (proportion of children and elderly requiring support) is relatively low, with only 12% of residents under 18 years old on average, though this ranges from 0% to 27.4% across different areas.

Income Characteristics

Household income distribution shows economic diversity across the service area. Lower-income brackets (under $35,000 annually) account for 29.8% of households on average, while middle-income ranges ($35,000-$99,999) represent 39.3% of households. Higher-income households ($100,000+) make up 30.9% of the market on average.

Government assistance usage varies significantly, with Food Stamp/SNAP benefits utilized by 10.2% of households on average, ranging from 0% to 22.5% across different ZIP codes.

Employment and Transportation

Labor force participation (the percentage of working-age adults who are employed or seeking work) averages 71.1% across the area, with employment rates at 68.1% of the adult population. Work-from-home adoption is notably high at 18.5% of workers on average, reaching up to 50% in some areas.

Commuting patterns show car dependency, with 66.7% driving alone to work and only 3.3% using public transportation on average.

Education and Housing

Educational attainment (highest level of schooling completed) reveals a highly educated market, with 48.2% holding bachelor's degrees or higher on average, though this varies from 7.4% to 100% across ZIP codes.

Vehicle ownership patterns indicate urban characteristics, with 22.2% of households having no vehicles available on average, ranging from 0% to 100% across areas.

Target Audience Characteristics from Centroid Analysis

The weighted centroid analysis reveals your primary market demographic profile based on population-weighted averages across all ZIP codes.

Core Demographics

Your target market area is characterized by young urban professionals, with 25.5% of residents aged 25-34 (the weighted centroid). The population skews slightly male (50.5% vs 49.5% female). Only 16.8% of residents are under 18, indicating fewer families with children compared to typical suburban markets.

Economic Profile

The income distribution shows a middle-to-upper-middle-class market. The largest income segments are households earning $50,000-$74,999 (16.4% of the weighted average) and $35,000-$49,999 (12.2%). However, 27.8% of households earn under $35,000 annually, while 24.0% earn $100,000 or more, indicating significant economic diversity.

Government assistance usage affects 13.7% of households for SNAP benefits and 6.5% for Supplemental Security Income in the weighted profile.

Lifestyle Indicators

Employment characteristics show 69.8% labor force participation, with 65.8% currently employed. Remote work is significant, with 15.6% working from home according to the centroid analysis.

Transportation preferences reveal urban patterns: 65.2% drive alone to work, but 14.7% have no vehicle available, suggesting walkable neighborhood preferences or urban living situations.

Educational attainment indicates a knowledge-worker market, with 40.3% holding bachelor's degrees or higher in the weighted profile.

Housing Patterns

Household composition shows predominantly single-person households, with only 20.0% married-couple households and 39.0% female householders without spouses/partners. This suggests a market of young singles, urban professionals, and non-traditional household structures rather than suburban families.

Variable	Average	National Avg	vs. National	Range
Male	50.5%	49.4%	+1.1%	45.0% – 80.1%
Female	49.5%	50.6%	-1.1%	19.9% – 55.0%
Under 5 years	5.0%	5.8%	-0.8%	0.0% – 7.1%
5 to 9 years	5.5%	6.1%	-0.6%	0.0% – 7.7%
10 to 14 years	4.1%	6.6%	-2.5%	0.0% – 9.4%
15 to 19 years	4.1%	6.5%	-2.4%	0.0% – 5.9%
20 to 24 years	10.1%	6.4%	+3.7%	0.0% – 32.9%
25 to 34 years	25.5%	13.8%	+11.7%	13.0% – 100.0%
35 to 44 years	12.9%	13.2%	-0.3%	0.0% – 14.8%
45 to 54 years	11.2%	12.3%	-1.1%	0.0% – 14.2%
55 to 59 years	4.8%	6.4%	-1.6%	0.0% – 7.2%
60 to 64 years	5.7%	6.4%	-0.7%	0.0% – 6.8%
65 to 74 years	7.2%	9.8%	-2.6%	0.0% – 8.6%
75 to 84 years	2.3%	4.8%	-2.5%	0.0% – 3.6%
85 years and over	1.5%	1.9%	-0.4%	0.0% – 2.7%
Under 18 years	16.8%	22.4%	-5.6%	0.0% – 27.4%
16 years and over	84.6%	80.2%	+4.4%	74.9% – 100.0%
18 years and over	83.2%	77.6%	+5.6%	72.6% – 100.0%
21 years and over	80.1%	73.8%	+6.3%	69.6% – 100.0%
62 years and over	13.9%	20.3%	-6.4%	0.0% – 16.2%
65 years and over	11.0%	16.5%	-5.5%	0.0% – 13.7%

Variable	Average	National Avg	vs. National	Range
In labor force	69.8%	63.9%	+5.9%	39.7% – 100.0%
Civilian labor force	69.6%	63.5%	+6.1%	39.7% – 100.0%
Employed	65.8%	60.2%	+5.6%	39.7% – 100.0%
Unemployed	3.7%	3.3%	+0.4%	0.0% – 7.4%
Armed Forces	0.3%	0.4%	-0.1%	0.0% – 0.8%
Not in labor force	30.2%	36.1%	-5.9%	0.0% – 60.3%

Variable	Average	National Avg	vs. National	Range
Car, truck, or van -- drove alone	65.2%	70.4%	-5.2%	50.0% – 100.0%
Car, truck, or van -- carpooled	8.2%	8.6%	-0.4%	0.0% – 13.5%
Public transportation (excluding taxicab)	4.6%	3.6%	+1.0%	0.0% – 10.8%
Walked	4.3%	2.1%	+2.2%	0.0% – 8.6%
Other means	2.0%	1.9%	+0.1%	0.0% – 4.0%
Worked from home	15.6%	13.4%	+2.2%	0.0% – 50.0%

Variable	Average	National Avg	vs. National	Range
Less than $10,000	11.6%	4.9%	+6.7%	0.0% – 19.6%
$10,000 to $14,999	6.7%	3.5%	+3.2%	0.0% – 17.7%
$15,000 to $24,999	10.0%	6.5%	+3.5%	0.0% – 11.2%
$25,000 to $34,999	9.1%	6.8%	+2.3%	0.0% – 13.8%
$35,000 to $49,999	12.2%	10.5%	+1.7%	0.0% – 45.6%
$50,000 to $74,999	16.4%	15.8%	+0.6%	0.0% – 26.3%
$75,000 to $99,999	9.8%	12.7%	-2.9%	0.0% – 36.7%
$100,000 to $149,999	14.0%	17.5%	-3.5%	0.0% – 100.0%
$150,000 to $199,999	4.3%	9.3%	-5.0%	0.0% – 7.0%
$200,000 or more	5.7%	12.4%	-6.7%	0.0% – 10.4%
With earnings	79.9%	78.0%	+1.9%	71.0% – 100.0%
With Social Security	19.7%	30.8%	-11.1%	0.0% – 32.9%
With retirement income	10.8%	24.0%	-13.2%	7.1% – 100.0%
With Supplemental Security Income	6.5%	5.1%	+1.4%	0.0% – 13.2%
With cash public assistance income	3.9%	2.7%	+1.2%	0.0% – 7.0%
With Food Stamp/SNAP benefits in the past 12 months	13.7%	12.0%	+1.7%	0.0% – 22.5%

Variable	Average	National Avg	vs. National	Range
Less than 9th grade	5.2%	4.9%	+0.3%	0.0% – 11.7%
9th to 12th grade, no diploma	7.5%	6.0%	+1.5%	0.0% – 16.7%
High school graduate (includes equivalency)	24.3%	26.0%	-1.7%	0.0% – 36.9%
Some college, no degree	17.4%	19.5%	-2.1%	0.0% – 23.4%
Associate's degree	5.4%	8.8%	-3.4%	0.0% – 22.4%
Bachelor's degree	24.6%	21.3%	+3.3%	4.3% – 50.0%
Graduate or professional degree	15.6%	13.6%	+2.0%	0.0% – 50.0%
High school graduate or higher	87.3%	89.2%	-1.9%	71.6% – 100.0%
Bachelor's degree or higher	40.3%	34.8%	+5.5%	7.4% – 100.0%

Restaurant Market Demographics Analysis

Executive Summary

Key Demographic Findings from Neighborhood Analysis

Population and Age Structure

Income Characteristics

Employment and Transportation

Education and Housing

Target Audience Characteristics from Centroid Analysis

Core Demographics

Economic Profile

Lifestyle Indicators

Housing Patterns

AI Recommendations

Primary Audience Segments to Target

Marketing Channel Recommendations

Messaging & Positioning Strategy

Geographic Strategy

Specific Tactical Recommendations

Age Distribution

Employment Status

Commuting to Work

Income & Benefits

Educational Attainment

Households By Type

Vehicles Available

Data Visualizations

Educational Attainment

Age Distribution

Employment Status

Commuting to Work

Income & Benefits

Educational Attainment (Bar)

Households By Type

Vehicles Available

Educational Attainment

Age Distribution

Employment Status

Commuting to Work

Income & Benefits

Educational Attainment

Households By Type

Vehicles Available

Sample Map — Population by ZIP Code

Interactive Maps Across All Categories