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CITY ANALYSIS:

1. GENERAL REMARKS
The city of London has a users density of roughly 840* users per square mile (263.8k users* over a 10 miles radius). Overall, there are 1.9 men to every woman, with 65.2% of the users being males and 34.8% being females.
The average user is 28 years and 6 months old, and uploaded 4.4 pictures on his/her profile. Men (28 years and 7 months) are older than women (28 years and 3 months) and tend to show fewer pictures (4.3) compared to them (4.6).
The predominant age group is 18-25, which accounts for 40.7% of the total number of users, followed by the age group 26-33 with 38.8%. The remaining age groups (34-41 / 42-49 and 50+) make up for a mere 20.5% of the user base.
Paying users account for an estimated** 5.9% of the total, with men (7.8%) sharply outnumbering women (1.2%).

2. GENDER SPECIFIC DATA
Gender data shows that 62.3 % of women have written something in their bio, with 53.1% and 15.5% of them publicly displaying their school and job; a further 16.1% had Instagram connected as well.
On the other hand males wrote something in their bio in 69.6% of cases, while 52.1% and 18.4% shared education and profession information on their profile. Male users with Instagram connected were 17.8%.
The most common women’s name is Sarah, followed by Laura and Emma. James tops the chart for men’s names, with Tom coming in second and Alex closing the top three.

3.GENDER ATTRACTION BY AGE
A superficial analysis of the data showed that a woman in her early 20’s attracts*** roughly 63.8% of the male users in the city. By comparison, a woman in her mid 20’s attracts 65.8% of the males, while a woman in her early 30’s and mid 30’s attract 67.4% and 51.8% of men respectively. As far as the men are concerned, being too young doesn’t seem to help, since a man in his early 20’s will only attract 17% of the available women, while males in their mid 20’s and early 30s will rake in 45.6% and 62.3% of the female users; men in their mid 30’s attract 48.2 of the users of the opposite sex.
Deeper analysis further explains the attraction by age and is summarized here:

FEMALES 18-25 26-33 34-41 42-49 50+
-Early 20’s – 89.3% 57.7% 31% 17.7% 13%
-Mid 20’s — 64.7% 78.8% 52.4% 28.5% 17.3%
-Early 30’s – 50.5% 81.6% 84.3% 54.7% 32.3%
-Mid 30’s — 34.2% 55.9% 82.1% 76.9% 47.3%

MALES 18-25 26-33 34-41 42-49 50+
-Early 20’s – 36.1% 4.5% 0.8% 0.7% 1.1%
-Mid 20’s — 83.4% 25.6% 5.5% 2.1% 1.8%
-Early 30’s – 52.3% 89.9% 37.8% 10.5% 3.9%
-Mid 30’s — 17.2% 72% 82.7% 35% 8%

4.CITY SPECIFIC SCHOOL DATA ANALYSIS
Schools have been aggregated after a city specific study to better reflect reality. The most popular school was Georgia State University with 0.8% of the users. Georgia Tech (0.7%) came second and University of Georgia (0.4%) ranked third. Gender specific data shows the top three schools for men as Georgia Tech (0.9%), Georgia State University (0.8%) and University of Georgia (0.4%), with women indicating Georgia State University as their top choice (0.7%), followed by University of Georgia (0.4%) and finally Georgia Tech (0.4%).

5.CITY SPECIFIC JOB DATA ANALYSIS
The top three companies with the most employees are Delta, AT&T and Deloitte. Looking at job titles, Bartender is the most common, followed by Consultant and Software Engineer.

6.USER ENGAGEMENT
The users had connected to the app an average of 595 times, with men having engaged 602 times compared to the 584 times of women. Less than half of the users (9.5%) logged in within the same day of the survey, while the rest (88.8%) did so in the previous 6 days****. Connections during the last day for males (10.9%) and females (7.3%) did not differ substantially.

7. PAID USERS ANALYSIS
The average paid user is 30 years and 4 months old. The average connection count is 598 for men and 637 for women.

8. BIO STATS
The word LOVE features in 4.1% of bios (2.3% of men’s and 7.7% of women’s).
The word MUSIC features in 9.5% of bios (9.6% of men’s and 9.2% of women’s).
The word DRINK features in 4.3% of bios (4.3% of men’s and 4.2% of women’s).
The word LAUGH features in 4.7% of bios (3.8% of men’s and 6.5% of women’s).
The word FOOD features in 7.2% of bios (6.4% of men’s and 9% of women’s).
The word TRAVEL features in 13.3% of bios (7.4% of men’s and 25.5% of women’s).
The SPORTY profiles account for 9.7% of bios (10.6% of men’s and 8% of women’s).
The HOOKUPS profiles account for 8.5% of bios (7.2% of men’s and 11.2% of women’s).
The GYM BUNNIES profiles account for 3.4% of bios (3.7% of men’s and 2.9% of women’s).
INSTAGRAM was mentioned directly by 3.1% of bios (3.1% of men’s and 3% of women’s).
SNAPCHAT was mentioned directly by 3.2% of bios (3.9% of men’s and 1.8% of women’s).
FACEBOOK was mentioned directly by 0.5% of bios (0.6% of men’s and 0.4% of women’s).
The Word CAR was mentioned directly by 0.4% of bios (0.4% of men’s and 0.3% of women’s).
MUM AND DAD were mentioned directly by 0.4% of bios (0.1% of men’s and 0.9% of women’s).
Interestingly, the swearword FUCK is mentioned by 0.7% of profiles (0.3% of men’s and 1.4% of women’s).

GENERAL NOTE: Users referred to in this survey are not the total number of active users in the area, but rather a subset of them with an age filter with a minimum age lower than 51 and a filter age difference (max-min) greater than 3.

NOTES:
* Users active in the last 7 days surveyed during a day in Early August
** After a week of inactivity, users are automatically taken out of the deck.
*** Some paying users are inferred indirectly while others are estimated. The percentage shown is very likely the minimum number of paying users present in the city during the survey.
**** Attraction is calculated based on the subset examined, see general note. 100% occurrences mean no one of those surveyed in that age group had an age filter excluding (lower than) the reference group.

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