IdealSpot Report
www.IdealSpot.com
Subscription: Basic
REI
Prepared on August 29, 2018
CONTACT
IdealSpot, Inc | | | IdealSpot.com |
sales@idealspot.com | | | 512-357-1111 ext. 1 |
Contents
Contents
Basic Report
This is an example of the type of insights and features you'll get when you have a Basic Subscription. In a Basic plan, you get everything in the Single Report plus having the ability to compare locations.
Mobile GPS Trips
Search origin trips to within a 1000 meter ring around the location
Age Trends
10 mile ring
YR2000Q1
Category | Washington | King county, wa | [competitor] rei | Outdoor sports retailer | Rei |
---|---|---|---|---|---|
Under 5 (people) | 392,726.00 (6.66%) | 104,515.00 (6.01%) | 47,679.00 (5.33%) | 47,715.00 (5.33%) | 44,704.00 (5.01%) |
5 to 14 (people) | 687,601.00 (11.66%) | 178,196.00 (10.25%) | 79,278.00 (8.86%) | 79,334.00 (8.86%) | 72,019.00 (8.08%) |
14 to 18 (people) | 429,453.00 (7.28%) | 106,442.00 (6.12%) | 47,269.00 (5.28%) | 47,301.00 (5.28%) | 43,126.00 (4.83%) |
18 to 22 (people) | 327,074.00 (5.54%) | 87,574.00 (5.04%) | 49,054.00 (5.48%) | 49,073.00 (5.48%) | 48,983.00 (5.49%) |
22 to 25 (people) | 229,770.00 (3.89%) | 71,713.00 (4.12%) | 42,076.00 (4.70%) | 42,104.00 (4.70%) | 42,450.00 (4.76%) |
25 to 30 (people) | 402,373.00 (6.82%) | 141,250.00 (8.13%) | 84,867.00 (9.49%) | 84,920.00 (9.49%) | 86,351.00 (9.69%) |
30 to 35 (people) | 437,214.00 (7.41%) | 153,062.00 (8.80%) | 85,845.00 (9.60%) | 85,915.00 (9.60%) | 86,387.00 (9.69%) |
35 to 40 (people) | 491,405.00 (8.33%) | 158,428.00 (9.11%) | 80,246.00 (8.97%) | 80,296.00 (8.97%) | 78,710.00 (8.83%) |
40 to 45 (people) | 497,486.00 (8.44%) | 155,188.00 (8.93%) | 77,151.00 (8.63%) | 77,203.00 (8.62%) | 75,436.00 (8.46%) |
45 to 50 (people) | 455,742.00 (7.73%) | 140,593.00 (8.09%) | 71,063.00 (7.95%) | 71,108.00 (7.94%) | 70,861.00 (7.95%) |
50 to 55 (people) | 387,622.00 (6.57%) | 118,094.00 (6.79%) | 60,791.00 (6.80%) | 60,840.00 (6.80%) | 60,528.00 (6.79%) |
55 to 60 (people) | 282,856.00 (4.79%) | 82,907.00 (4.77%) | 42,778.00 (4.78%) | 42,808.00 (4.78%) | 42,592.00 (4.77%) |
60 to 65 (people) | 210,647.00 (3.57%) | 57,541.00 (3.31%) | 28,789.00 (3.22%) | 28,817.00 (3.22%) | 29,900.00 (3.35%) |
65 to 75 (people) | 337,990.00 (5.73%) | 89,628.00 (5.15%) | 46,330.00 (5.18%) | 46,354.00 (5.18%) | 50,430.00 (5.65%) |
75 plus (people) | 324,167.00 (5.49%) | 92,264.00 (5.31%) | 50,581.00 (5.65%) | 50,612.00 (5.65%) | 58,353.00 (6.54%) |
YR2017Q2
Category | Washington | King county, wa | [competitor] rei | Outdoor sports retailer | Rei |
---|---|---|---|---|---|
Under 5 (people) | 440,388.00 (6.00%) | 143,209.00 (6.64%) | 81,101.00 (7.09%) | 81,146.00 (7.09%) | 78,119.00 (7.19%) |
5 to 14 (people) | 810,906.00 (11.05%) | 232,669.00 (10.80%) | 119,197.00 (10.42%) | 119,272.00 (10.42%) | 108,262.00 (9.97%) |
14 to 18 (people) | 367,729.00 (5.01%) | 95,975.00 (4.45%) | 46,219.00 (4.04%) | 46,246.00 (4.04%) | 38,809.00 (3.57%) |
18 to 22 (people) | 448,049.00 (6.10%) | 117,551.00 (5.45%) | 64,731.00 (5.65%) | 64,762.00 (5.65%) | 57,384.00 (5.28%) |
22 to 25 (people) | 282,390.00 (3.85%) | 70,380.00 (3.26%) | 33,142.00 (2.89%) | 33,164.00 (2.89%) | 30,566.00 (2.81%) |
25 to 30 (people) | 454,275.00 (6.19%) | 123,178.00 (5.71%) | 63,493.00 (5.55%) | 63,526.00 (5.55%) | 60,267.00 (5.55%) |
30 to 35 (people) | 475,480.00 (6.48%) | 152,435.00 (7.07%) | 90,096.00 (7.87%) | 90,136.00 (7.87%) | 88,499.00 (8.15%) |
35 to 40 (people) | 482,416.00 (6.57%) | 163,973.00 (7.61%) | 97,372.00 (8.51%) | 97,421.00 (8.51%) | 94,928.00 (8.74%) |
40 to 45 (people) | 470,176.00 (6.41%) | 158,352.00 (7.35%) | 90,123.00 (7.87%) | 90,178.00 (7.87%) | 85,659.00 (7.89%) |
45 to 50 (people) | 475,169.00 (6.47%) | 155,773.00 (7.23%) | 84,840.00 (7.41%) | 84,895.00 (7.41%) | 79,315.00 (7.30%) |
50 to 55 (people) | 497,438.00 (6.78%) | 154,211.00 (7.16%) | 79,003.00 (6.90%) | 79,054.00 (6.90%) | 73,607.00 (6.78%) |
55 to 60 (people) | 507,736.00 (6.92%) | 149,969.00 (6.96%) | 73,995.00 (6.46%) | 74,048.00 (6.47%) | 69,722.00 (6.42%) |
60 to 65 (people) | 476,169.00 (6.49%) | 135,474.00 (6.29%) | 67,002.00 (5.85%) | 67,052.00 (5.85%) | 65,493.00 (6.03%) |
65 to 75 (people) | 709,042.00 (9.66%) | 189,491.00 (8.79%) | 95,737.00 (8.37%) | 95,799.00 (8.37%) | 95,746.00 (8.82%) |
75 plus (people) | 437,052.00 (5.95%) | 111,121.00 (5.15%) | 57,675.00 (5.04%) | 57,712.00 (5.04%) | 58,650.00 (5.40%) |
YR2022Q1
Category | Washington | King county, wa | [competitor] rei | Outdoor sports retailer | Rei |
---|---|---|---|---|---|
Under 5 (people) | 445,572.00 (5.76%) | 136,354.00 (6.05%) | 76,883.00 (6.32%) | 76,923.00 (6.32%) | 73,849.00 (6.43%) |
5 to 14 (people) | 819,599.00 (10.60%) | 256,306.00 (11.38%) | 143,354.00 (11.80%) | 143,439.00 (11.80%) | 136,525.00 (11.88%) |
14 to 18 (people) | 378,216.00 (4.89%) | 102,727.00 (4.56%) | 51,746.00 (4.25%) | 51,779.00 (4.25%) | 45,581.00 (3.96%) |
18 to 22 (people) | 447,894.00 (5.79%) | 119,846.00 (5.32%) | 69,726.00 (5.73%) | 69,754.00 (5.73%) | 61,808.00 (5.38%) |
22 to 25 (people) | 303,349.00 (3.92%) | 73,919.00 (3.28%) | 35,550.00 (2.92%) | 35,573.00 (2.92%) | 30,510.00 (2.65%) |
25 to 30 (people) | 486,532.00 (6.29%) | 120,486.00 (5.35%) | 55,817.00 (4.59%) | 55,857.00 (4.59%) | 48,720.00 (4.24%) |
30 to 35 (people) | 463,662.00 (6.00%) | 124,557.00 (5.53%) | 64,817.00 (5.33%) | 64,850.00 (5.33%) | 61,391.00 (5.34%) |
35 to 40 (people) | 486,651.00 (6.29%) | 154,810.00 (6.87%) | 92,493.00 (7.61%) | 92,534.00 (7.61%) | 90,758.00 (7.90%) |
40 to 45 (people) | 495,043.00 (6.40%) | 166,748.00 (7.40%) | 100,132.00 (8.24%) | 100,181.00 (8.24%) | 97,482.00 (8.48%) |
45 to 50 (people) | 482,513.00 (6.24%) | 160,485.00 (7.12%) | 92,343.00 (7.60%) | 92,399.00 (7.60%) | 87,534.00 (7.62%) |
50 to 55 (people) | 485,404.00 (6.28%) | 156,971.00 (6.97%) | 86,509.00 (7.12%) | 86,565.00 (7.12%) | 80,653.00 (7.02%) |
55 to 60 (people) | 504,856.00 (6.53%) | 154,151.00 (6.84%) | 79,994.00 (6.58%) | 80,046.00 (6.58%) | 74,233.00 (6.46%) |
60 to 65 (people) | 510,018.00 (6.59%) | 148,080.00 (6.57%) | 74,003.00 (6.09%) | 74,057.00 (6.09%) | 69,448.00 (6.04%) |
65 to 75 (people) | 863,033.00 (11.16%) | 236,801.00 (10.51%) | 119,321.00 (9.82%) | 119,406.00 (9.82%) | 117,446.00 (10.22%) |
75 plus (people) | 555,218.00 (7.18%) | 139,430.00 (6.19%) | 72,073.00 (5.93%) | 72,120.00 (5.93%) | 72,461.00 (6.30%) |
YR2027Q1
Category | Washington | King county, wa | [competitor] rei | Outdoor sports retailer | Rei |
---|---|---|---|---|---|
Under 5 (people) | 455,787.00 (5.60%) | 127,992.00 (5.44%) | 68,957.00 (5.39%) | 68,995.00 (5.39%) | 64,873.00 (5.37%) |
5 to 14 (people) | 833,227.00 (10.24%) | 259,527.00 (11.04%) | 149,284.00 (11.68%) | 149,363.00 (11.67%) | 144,039.00 (11.94%) |
14 to 18 (people) | 383,139.00 (4.71%) | 118,689.00 (5.05%) | 66,172.00 (5.17%) | 66,213.00 (5.17%) | 62,813.00 (5.20%) |
18 to 22 (people) | 462,121.00 (5.68%) | 129,224.00 (5.49%) | 76,590.00 (5.99%) | 76,626.00 (5.99%) | 70,340.00 (5.83%) |
22 to 25 (people) | 312,864.00 (3.84%) | 76,948.00 (3.27%) | 38,708.00 (3.02%) | 38,731.00 (3.02%) | 32,881.00 (2.72%) |
25 to 30 (people) | 505,045.00 (6.21%) | 125,919.00 (5.35%) | 61,260.00 (4.79%) | 61,299.00 (4.79%) | 52,107.00 (4.31%) |
30 to 35 (people) | 502,094.00 (6.17%) | 122,938.00 (5.23%) | 57,153.00 (4.47%) | 57,195.00 (4.47%) | 49,796.00 (4.12%) |
35 to 40 (people) | 478,055.00 (5.87%) | 127,130.00 (5.40%) | 66,525.00 (5.20%) | 66,560.00 (5.20%) | 62,993.00 (5.22%) |
40 to 45 (people) | 501,487.00 (6.16%) | 158,541.00 (6.74%) | 95,380.00 (7.46%) | 95,422.00 (7.46%) | 93,692.00 (7.76%) |
45 to 50 (people) | 510,153.00 (6.27%) | 170,442.00 (7.25%) | 103,057.00 (8.06%) | 103,108.00 (8.06%) | 100,393.00 (8.32%) |
50 to 55 (people) | 494,979.00 (6.08%) | 163,203.00 (6.94%) | 94,570.00 (7.39%) | 94,628.00 (7.39%) | 89,652.00 (7.43%) |
55 to 60 (people) | 494,893.00 (6.08%) | 158,461.00 (6.74%) | 87,924.00 (6.87%) | 87,983.00 (6.88%) | 81,967.00 (6.79%) |
60 to 65 (people) | 509,440.00 (6.26%) | 153,719.00 (6.54%) | 80,294.00 (6.28%) | 80,346.00 (6.28%) | 74,478.00 (6.17%) |
65 to 75 (people) | 960,998.00 (11.81%) | 270,536.00 (11.51%) | 135,959.00 (10.63%) | 136,062.00 (10.63%) | 129,893.00 (10.76%) |
75 plus (people) | 728,453.00 (8.95%) | 186,720.00 (7.94%) | 96,229.00 (7.52%) | 96,292.00 (7.52%) | 96,281.00 (7.98%) |
Customer Summary
This insight summarizes each insight in the report. If comparison locations have been added to the report, this insight also compares the subject location to any comparison locations for each data set and provides an overall similarity score. Similarity scores highlight the similarities and differences between the subject site and comparison sites.
Appendix
Insight Types
Text Block
This insight adds a simple text block for notes or any other text that you would like to add to your report
Search Engine Demand
Between Google and Bing, 90% of Americans use search engines. Americans who use search engines make more than 13 billion searches per month. The terms people search for have been shown to correlate with a broad range of needs and preferences, from politics to health problems to purchase intent. Number of searches, also called search volume, is representative of consumer demand. Using search volumes, consumer demand can be directly measured and captured. Searches for a given business category represent individuals actively looking for something they currently want or need. Use search volumes to find locations that both have a large number of searches for your business category and achieve the highest market share relative to the total number of searches. This insight provides number of searches by people within a trade area over the last 30 days by business category. To provide a complete picture, we also include searches by people who are not currently in the trade area but are searching for products and services in the area.
Social Media Interest
Eighty percent of Americans regularly use social media. Activities taken on social media, whether "liking" a page, checking in to a venue, or publicly commenting on a post, are powerful indicators of interest in a business's products or services. Interest is a necessary prerequisite to any purchase. This insight shows number of people on social media within a trade area expressing interest for each of five-hundred business categories over the last 30 days.
Mobile GPS Trips
See where people are coming from to get to your location.
Home Value
Median home value and number of households per home value bucket.
Crime Index
Crime index for the area relative to the national average. Compiled by the FBI, the Crime Index is an estimation of the overall level of crime in a given city or a country. The national average per crime is 1. A score of less than 1 indicates a lower crime rate compared to the national average, a score higher than 1 indicates a higher crime rate. Law enforcement agencies that participate in the Uniform Crime Reporting (UCR) Program forward crime data through their state UCR Programs in 46 states and the District of Columbia. Local agencies in those states that do not have a state program submit crime statistics directly to the FBI, who in turn provides continuous guidance and support to those participating agencies. The state UCR Programs function as liaisons between local agencies and the FBI. Many states have mandatory reporting requirements, and many state UCR Programs collect data beyond those typically called for by the national UCR Program to address crime problems specific to their particular jurisdictions.
Total Households (over time)
Historical counts and forecasts of number of households in an area.
Household Income
Median and average household income alongside number of households per income bracket.
Mortgage Risk
This measure will allow you to evaluate those neighborhoods that surpass the mortgage lender target of 2.5 and therefore whose economic situation might offset their ability to be active consumers.
Employee Count by Category
The number of employees in the area for a list of business categories. This insight illustrates the distribution of the workforce and is an indication of the pool of experienced employees for each business category. Employee counts are determined using data from the U.S. Bureau of Labor Statistics and U.S. Census Bureau.
Housing Ownership
Number of households rented, owned, and vacant.
Residential Population (over time)
Population residing in single-family or multi-family homes.
Daytime Population
Daytime population data provides businesses with an accurate view of the distribution of people during the day and provides a better understanding of the type of persons within the store’s trade area. By convention, daytime population equates with number of employees in an area. Where our Daytime Population Trends insight shows number of employees over time, Daytime Population Breakdown expands to several other important groups that comprise the actual total daytime population. The true daytime population of a trade area is the sum of the following subcategories: retired and disabled people, homemakers and working age people not in the labor force, unemployed people, employed people, persons working at home (both self-employed and employed by a company), children at home (typically preschool), and students (Pre-K to 12th and post-secondary, including college and vocational). Daytime population subcategories are derived from their relevant federal agencies. Some people can be classified as falling within more than one subcategory of daytime population. For example, people working at home who are disabled. As a result, some people may be counted twice. This double-counting results in the daytime population being approximately 6% higher than our population counts.
Age Trends
Age Trends divides the population into age buckets (e.g. "Under 5", "5 - 14", etc) and provides a population count for each bucket from 2000 and 2017, and regression-based projections for 2022 and 2027. Age is determined through a cohort survival analysis using U.S. Census, National Center for Health Statistics, and National Center for Education Statistics data.
Occupation
Total number of people within the trade area with the selected occupations (across several hundred categories)
Ancestry
Residential population broken down into 28 ancestries including Hispanic, Asian, European, and Native American subgroups. Understanding the ancestry of an area helps businesses tailor their offerings to the available consumer pool. Ancestry indicates culture. While America is well known as a "melting pot", ancestry-based subcultures retain different culinary, entertainment, and socializing preferences. Ethnicity is often used to approach these topics in conventional demographic analysis, but ethnicity tends to ignore true cultural heritage in favor of over-simplified aggregations of highly distinct cultures. Ancestry provides a much more granular image of the cultural profile of an area.
Ethnicity
Population broken down by ethnicity. Ethnicity illustrates the diversity of an area of an area and can assist businesses and potential businesses in understanding the potential demand for products and services, therefore allowing retailers to target their offerings to the consumer pool.
Language
Break down the population by those who speak one or more of 18 available languages.
Educational Achievement
Residential population by educational achievement. The number of years of formal education for all people over the age of 25 is based on of the highest grade completed, as reported by the U.S. Census American Community Survey. Educational achievement can be used to determine the employee pool upon which to hire from. For instance, high tech firms will seek a higher concentration of college educated people than a manufacturing firm.
Gross Domestic Product
Quarterly historical gross domestic product estimates in thousands of U.S. dollars.
Weekly Per-Capita Spending
Weekly Per Capita Consumer spending within the location's trade area by category.
Vehicles per Household
Number of vehicles owned or leased by a household.
Customer Summary
This insight summarizes each insight in the report. If comparison locations have been added to the report, this insight also compares the subject location to any comparison locations for each data set and provides an overall similarity score. Similarity scores highlight the similarities and differences between the subject site and comparison sites.