Industry

Home Services

Focus

Improve ad targeting for a cleaning service

ZIP Codes

85027, 85022, 85023, 85024, 85053, 85083, 85085, 85308, 85310

Demographic Analysis Report: Phoenix-Area ZIP Codes

Marketing Analytics for Home Cleaning Service

Executive Summary

This analysis examines the demographic characteristics of nine Phoenix-area ZIP codes (85027, 85022, 85023, 85024, 85053, 85083, 85085, 85308, 85310) to improve ad targeting for a cleaning service. The study reveals a service area characterized by middle-to-upper-middle-class households, high homeownership rates, and a substantial population of working professionals with college degrees. The weighted analysis indicates the target audience lives in areas with median household incomes primarily in the $100,000-$199,999 range, with nearly 40% of residents holding bachelor's degrees or higher.

Key Demographic Findings from Neighborhood Analysis

Income Distribution Across Service Areas

The neighborhood analysis reveals significant income diversity across the nine ZIP codes. Household counts range from 6,854 to 25,693 per ZIP code, with an average of 14,201 households.

Higher-income segments show the strongest representation: households earning $100,000-$149,999 average 19.8% across neighborhoods, while those earning $200,000 or more average 15.2% but show high variation (ranging from 5.8% to 33.9% across different ZIP codes). This wide spread indicates some areas are significantly more affluent than others.

Lower-income segments remain relatively small: households earning less than $10,000 average only 3.4% across neighborhoods, while those earning $10,000-$14,999 represent just 1.5% on average.

Employment and Education Characteristics

The service area demonstrates strong employment stability, with an average of 70.2% of adults participating in the labor force across neighborhoods. Employment rates among those seeking work remain healthy, with unemployment averaging just 3.3% across ZIP codes.

Educational attainment is notably high throughout the region. College graduates (bachelor's degree or higher) average 39.2% across neighborhoods but vary significantly by area (ranging from 25.9% to 51.8%). High school graduation rates are consistently strong, averaging 93.6% across all ZIP codes.

Housing and Household Structure

Homeownership rates average 67.2% across neighborhoods but show substantial variation, ranging from 51.0% to 92.9% depending on the ZIP code. This suggests a mix of established residential communities and areas with more transient populations.

Family composition trends toward traditional structures, with married-couple households averaging 50.5% across neighborhoods. However, single-person households represent a significant segment, with female householders living alone averaging 14.0% and male householders living alone averaging 11.2%.

Commuting and Work Patterns

Remote work adoption is notably high across the service area, with workers working from home averaging 21.7% across neighborhoods (ranging from 14.0% to 30.3%). Traditional car commuting remains dominant, with 65.6% driving alone and 8.7% carpooling on average.

Target Audience Characteristics from Centroid Analysis

The weighted centroid analysis reveals the demographic profile of areas where the cleaning service's audience is most concentrated:

Economic Profile

The typical audience area shows an affluent, economically stable population. The weighted profile indicates 19.8% of households earn $100,000-$149,999, while 15.2% earn $200,000 or more. Combined, over 46% of households in the weighted audience profile earn above $100,000 annually.

Only 9.3% of households in the audience profile earn below $35,000, indicating limited presence in lower-income segments. The high rate of households with earnings (84.0%) demonstrates a working, economically active population.

Education and Employment

The audience profile reveals a highly educated population, with 39.2% holding bachelor's degrees or higher and 15.0% having graduate or professional degrees. Nearly all residents (93.6%) have completed high school.

Employment characteristics show 66.8% of the adult population is employed, with strong representation in professional occupations. Management, business, science, and arts occupations represent 47.4% of employed workers in the audience profile, indicating a white-collar professional base.

Housing and Demographics

The audience profile shows 67.2% homeownership, suggesting established residents with long-term community ties. The population skews slightly female (50.4% vs 49.6% male) with a mature age structure - 23.0% are under 18, while 13.5% are 65 or older.

Married-couple households represent 50.5% of the audience profile, with 21.3% including children under 18. This indicates a substantial family-oriented demographic.

Lifestyle Indicators

Remote work adoption is exceptionally high in the audience profile, with 21.7% of workers primarily working from home. This suggests a population of knowledge workers with flexible schedules who may value time-saving services like cleaning.

Traditional commuting patterns dominate for non-remote workers, with 65.6% driving alone and minimal public transit use (0.9%), indicating a suburban/car-dependent lifestyle.

Weighting Approach

ZIP codes in this analysis were weighted using client-provided weights reflecting business activity levels, such as customer counts or transaction volume. Areas generating more business activity received proportionally greater influence in the composite demographic profile, ensuring the analysis reflects where the audience is actually concentrated rather than treating all areas equally.

Neighborhood Analysis

Descriptive statistics including averages, ranges, and variability measures were calculated across all nine analyzed ZIP codes to characterize the overall demographics of the service area. These statistics reveal the diversity and typical characteristics of communities within the broader service region.

Centroid Analysis

A composite demographic profile was constructed by combining American Community Survey census data from each ZIP code according to the business activity weighting described above. This weighted centroid represents the demographic characteristics of areas where the client's audience is most concentrated, providing a single representative profile for targeting purposes.

Data Sources and Limitations

All demographic data comes from the American Community Survey (ACS) 5-Year Estimates (2023), published by the U.S. Census Bureau, representing the most current comprehensive demographic data available at the ZIP code level.

Important Disclaimer - Ecological Fallacy: This analysis is based on area-level census data aggregated by ZIP code, NOT data about individual customers or residents. The findings describe the demographic characteristics of communities where the client's weighted business activity indicates their audience is concentrated. However, individual people within those areas may differ significantly from the area averages presented here. These insights should inform marketing strategy and audience understanding but should not be treated as facts about any specific individual customer. The analysis reveals patterns about places, not people.

Variable	Average	National Avg	vs. National	Range
Male	49.6%	49.4%	+0.2%	47.0% – 52.7%
Female	50.4%	50.6%	-0.2%	47.3% – 53.0%
Under 5 years	5.7%	5.8%	-0.1%	4.0% – 7.4%
5 to 9 years	6.6%	6.1%	+0.5%	5.1% – 7.8%
10 to 14 years	6.6%	6.6%	0.0%	4.1% – 10.0%
15 to 19 years	6.0%	6.5%	-0.5%	4.0% – 7.9%
20 to 24 years	5.3%	6.4%	-1.1%	3.0% – 6.7%
25 to 34 years	15.7%	13.8%	+1.9%	8.2% – 20.1%
35 to 44 years	14.2%	13.2%	+1.0%	12.0% – 17.4%
45 to 54 years	13.9%	12.3%	+1.6%	11.0% – 17.4%
55 to 59 years	6.6%	6.4%	+0.2%	5.3% – 7.7%
60 to 64 years	5.8%	6.4%	-0.6%	4.6% – 7.6%
65 to 74 years	8.8%	9.8%	-1.0%	6.8% – 11.3%
75 to 84 years	3.4%	4.8%	-1.4%	1.7% – 4.4%
85 years and over	1.3%	1.9%	-0.6%	0.4% – 2.7%
Under 18 years	23.0%	22.4%	+0.6%	19.0% – 28.5%
16 years and over	79.7%	80.2%	-0.5%	75.5% – 84.2%
18 years and over	77.0%	77.6%	-0.6%	71.5% – 81.0%
21 years and over	74.1%	73.8%	+0.3%	68.9% – 78.3%
62 years and over	16.9%	20.3%	-3.4%	13.3% – 21.7%
65 years and over	13.5%	16.5%	-3.0%	10.7% – 17.6%

Variable	Average	National Avg	vs. National	Range
In labor force	70.2%	63.9%	+6.3%	66.1% – 75.6%
Civilian labor force	70.1%	63.5%	+6.6%	66.0% – 75.6%
Employed	66.8%	60.2%	+6.6%	63.0% – 72.7%
Unemployed	3.3%	3.3%	0.0%	2.6% – 4.5%
Armed Forces	0.1%	0.4%	-0.3%	0.0% – 0.3%
Not in labor force	29.8%	36.1%	-6.3%	24.4% – 33.9%

Variable	Average	National Avg	vs. National	Range
Car, truck, or van -- drove alone	65.6%	70.4%	-4.8%	59.8% – 69.6%
Car, truck, or van -- carpooled	8.7%	8.6%	+0.1%	6.1% – 13.9%
Public transportation (excluding taxicab)	0.9%	3.6%	-2.7%	0.1% – 3.0%
Walked	1.4%	2.1%	-0.7%	0.6% – 2.6%
Other means	1.7%	1.9%	-0.2%	0.7% – 2.7%
Worked from home	21.7%	13.4%	+8.3%	14.0% – 30.3%

Variable	Average	National Avg	vs. National	Range
Management, business, science, and arts occupations	47.4%	41.7%	+5.7%	37.6% – 57.7%
Service occupations	14.2%	16.7%	-2.5%	8.8% – 22.1%
Sales and office occupations	23.2%	20.1%	+3.1%	19.6% – 24.7%
Natural resources, construction, and maintenance occupations	6.4%	8.5%	-2.1%	4.4% – 9.2%
Production, transportation, and material moving occupations	8.8%	13.1%	-4.3%	5.2% – 11.6%

Variable	Average	National Avg	vs. National	Range
Less than $10,000	3.4%	4.9%	-1.5%	1.1% – 6.9%
$10,000 to $14,999	1.5%	3.5%	-2.0%	0.5% – 2.6%
$15,000 to $24,999	4.4%	6.5%	-2.1%	0.8% – 7.3%
$25,000 to $34,999	5.4%	6.8%	-1.4%	1.1% – 9.2%
$35,000 to $49,999	10.0%	10.5%	-0.5%	4.3% – 15.3%
$50,000 to $74,999	15.2%	15.8%	-0.6%	7.0% – 20.3%
$75,000 to $99,999	13.7%	12.7%	+1.0%	11.2% – 17.3%
$100,000 to $149,999	19.8%	17.5%	+2.3%	15.6% – 24.5%
$150,000 to $199,999	11.4%	9.3%	+2.1%	6.3% – 18.0%
$200,000 or more	15.2%	12.4%	+2.8%	5.8% – 33.9%
With earnings	84.0%	78.0%	+6.0%	80.7% – 89.0%
With Social Security	24.9%	30.8%	-5.9%	18.7% – 30.3%
With retirement income	21.9%	24.0%	-2.1%	17.2% – 29.1%
With Supplemental Security Income	2.8%	5.1%	-2.3%	1.5% – 4.5%
With cash public assistance income	2.5%	2.7%	-0.2%	0.9% – 3.5%
With Food Stamp/SNAP benefits in the past 12 months	6.2%	12.0%	-5.8%	1.9% – 14.2%

Demographic Analysis Report: Phoenix-Area ZIP Codes

Marketing Analytics for Home Cleaning Service

Executive Summary

Key Demographic Findings from Neighborhood Analysis

Income Distribution Across Service Areas

Employment and Education Characteristics

Housing and Household Structure

Commuting and Work Patterns

Target Audience Characteristics from Centroid Analysis

Economic Profile

Education and Employment

Housing and Demographics

Lifestyle Indicators

Weighting Approach

Neighborhood Analysis

Centroid Analysis

Data Sources and Limitations

AI Recommendations

Target the Professional Remote Worker Market

Focus on Digital Marketing Channels

Geographic Prioritization Strategy

Three Key Audience Segments to Target

Positioning and Messaging Strategy

Immediate Next Steps

Age Distribution

Employment Status

Commuting to Work

Occupation

Income & Benefits

Educational Attainment

Housing Tenure

Households By Type

Data Visualizations

Educational Attainment

Occupation Breakdown

Housing Tenure

Age Distribution

Employment Status

Commuting to Work

Occupation

Income & Benefits

Educational Attainment

Housing Tenure

Households By Type

Educational Attainment

Occupation Breakdown

Housing Tenure

Age Distribution

Employment Status

Commuting to Work

Occupation

Income & Benefits

Educational Attainment

Housing Tenure

Households By Type

Population — Workers 16 years and over

Population — Workers 16 years and over

Interactive Maps Across All Categories