SQL: SELECT city,country,sum(events) ev FROM `joe` where country like 'hadera' and action like 'hairdresser_%'  group by 1,2 order by ev desc limit 1
ROWS: 0
SQL: SELECT city,country,sum(events) ev FROM `joe` where city like 'hadera' and action like 'hairdresser_%'  group by 1,2 order by ev desc limit 1
ROWS: 1
ROW 0: {"city":"Hadera","country":"Israel","ev":"57"}
SQL: SELECT 	sVal FROM `joe_settings` where sTopic like 'hairdresser' and sName like 'color'
ROWS: 5
ROW 0: {"sVal":"'25' => '#f2b434'"}
ROW 1: {"sVal":"'>25' => '#990099'"}
ROW 2: {"sVal":"'20' => '#259c5d'"}
ROW 3: {"sVal":"'10' => '#4882ef'"}
ROW 4: {"sVal":"'0' => '#d7483f'"}
SQL: SELECT 	sVal FROM `joe_settings` where sTopic like 'hairdresser' and sName like 'nice'
ROWS: 1
ROW 0: {"sVal":"a Hairdresser (or Barber, Hair stylist, etc.)"}
SQL: SELECT 	sVal FROM `joe_settings` where sTopic like 'hairdresser' and sName like 'niceTagline'
ROWS: 0
SQL: SELECT CASE
        WHEN LOWER(action) LIKE 'hairdresser_>25' THEN 30
        ELSE CAST(REPLACE(LOWER(action),'hairdresser_','') AS UNSIGNED)
    END AS action,sum(events) events FROM joe where lower(city) like 'Hadera' and country like 'Israel' and action like 'hairdresser_%' group by 1 order by action desc
ROWS: 1
ROW 0: {"action":"10","events":"57"}
SQL: SELECT CASE
        WHEN LOWER(action) LIKE 'hairdresser_>25' THEN 30
        ELSE CAST(REPLACE(LOWER(action),'hairdresser_','') AS UNSIGNED)
    END AS action,sum(events) events FROM joe where country like 'Israel' and action like 'hairdresser_%' group by 1 order by action desc
ROWS: 5
ROW 0: {"action":"30","events":"610"}
ROW 1: {"action":"25","events":"1"}
ROW 2: {"action":"20","events":"1250"}
ROW 3: {"action":"10","events":"2988"}
ROW 4: {"action":"0","events":"3091"}
SQL: SELECT region, sum(action*events) action, sum(events) events from (SELECT CASE
        WHEN LOWER(action) LIKE 'hairdresser_>25' THEN 30
        ELSE CAST(REPLACE(LOWER(action),'hairdresser_','') AS UNSIGNED)
    END AS action, region,sum(events) events FROM joe where country like 'Israel' and action like 'hairdresser%' group by 1,2) g group by 1
ROWS: 6
ROW 0: {"region":"Center District","action":"27450","events":"1554"}
ROW 1: {"region":"Haifa District","action":"580","events":"327"}
ROW 2: {"region":"Jerusalem District","action":"0","events":"19"}
ROW 3: {"region":"North District","action":"0","events":"1"}
ROW 4: {"region":"South District","action":"10","events":"3"}
ROW 5: {"region":"Tel Aviv District","action":"45165","events":"6036"}
SQL: SELECT country, sum(action*events) action, sum(events) events from (SELECT CASE
        WHEN LOWER(action) LIKE 'hairdresser_>25' THEN 30
        ELSE CAST(REPLACE(LOWER(action),'hairdresser_','') AS UNSIGNED)
    END AS action, country,sum(events) events FROM joe where country not like '(not set)' and action like 'hairdresser%' group by 1,2) g group by 1 having sum(events)>4
ROWS: 100
ROW 0: {"country":"Algeria","action":"10","events":"40"}
ROW 1: {"country":"Argentina","action":"4210","events":"249"}
ROW 2: {"country":"Armenia","action":"0","events":"321"}
ROW 3: {"country":"Aruba","action":"20","events":"55"}
ROW 4: {"country":"Australia","action":"95735","events":"68880"}
ROW 5: {"country":"Austria","action":"8645","events":"1110"}
ROW 6: {"country":"Bahrain","action":"2880","events":"290"}
ROW 7: {"country":"Bangladesh","action":"55","events":"339"}
ROW 8: {"country":"Belgium","action":"1135","events":"5256"}
ROW 9: {"country":"Bermuda","action":"420","events":"21"}
SQL: SELECT lat, lon,t.city city, sum(action*events) action, sum(events) events from (SELECT CASE
        WHEN LOWER(action) LIKE 'hairdresser_>25' THEN 30
        ELSE CAST(REPLACE(LOWER(action),'hairdresser_','') AS UNSIGNED)
    END AS action, city,sum(events) events FROM joe where country like 'Israel' and action like 'hairdresser%' group by 1,2) t left join citiesLatLon ltln on t.city = ltln.city where lat is not null and t.city not like '(not set)' group by 1,2,3 having sum(events)>2
ROWS: 6
ROW 0: {"lat":"31.768319","lon":"35.21371","city":"Jerusalem","action":"0","events":"19"}
ROW 1: {"lat":"31.892773","lon":"34.811272","city":"Rehovot","action":"20","events":"46"}
ROW 2: {"lat":"32.068424","lon":"34.824785","city":"Ramat Gan","action":"0","events":"480"}
ROW 3: {"lat":"32.084041","lon":"34.887762","city":"Petah Tikva","action":"2080","events":"208"}
ROW 4: {"lat":"32.0852999","lon":"34.7817676","city":"Tel Aviv-Yafo","action":"39055","events":"4943"}
ROW 5: {"lat":"32.162413","lon":"34.844675","city":"Herzliya","action":"6100","events":"611"}
SQL: SELECT city,country,sum(events) ev FROM `joe` where country like 'Hadera' and action like '{$action_string}_%'  group by 1,2 order by ev desc limit 1
ROWS: 0
SQL: SELECT city,country,sum(events) ev FROM `joe` where city like 'Hadera' and action like '{$action_string}_%'  group by 1,2 order by ev desc limit 1
ROWS: 0
SQL: SELECT * FROM joe where lower(city) like 'Hadera' and country like 'Israel' and action like '{$action_string}__%' order by events desc ROWS: 0 How much should I tip a hairdresser in Hadera? | Joe tips, be like Joe

How much do you tip a Hairdresser (or Barber, Hair stylist, etc.)?

In Hadera, Israel ?


Amazingly enough, 100% said they would tip a Hairdresser (or Barber, Hair stylist, etc.).
57 people tip 10%

Find out what to tip your: Hairdresser, food delivery person, taxi driver




In all of Israel?


Amazingly enough, 61% said they would tip a Hairdresser (or Barber, Hair stylist, etc.).
610 people tip 30% 1 people tip 25% 1250 people tip 20% 2988 people tip 10% 3091 people tip 0%

Tipping around the world



SQL: Select count(distinct country) countries,count(distinct city) cities,sum(case when action not in (select min(action) from joe where  action like 'hairdresser_%') then events else 0 end) as love, sum(events) users from joe where action like 'hairdresser_%' ;
ROWS: 1
ROW 0: {"countries":"145","cities":"4093","love":"304013","users":"699495"}

How big is our data?


4093

CITIES

145

Countries

699495

USERS

304013

Tip more than 0%

Tipping by city

Looking for other cities in Israel?

SQL: SELECT city from (SELECT city,sum(events) FROM ( SELECT * FROM joe) a  left join ( select country country_2  FROM joe  where lower(city) like 'Hadera'  order by events desc limit 1 ) b   on a.country = b.country_2 where country_2 is not null  and city not like 'Hadera' and city not like '(not set)' group by 1 order by 2 desc ) yo  limit 25
ROWS: 25
ROW 0: {"city":"Tel Aviv-Yafo"}
ROW 1: {"city":"Jerusalem"}
ROW 2: {"city":"Ra'anana"}
ROW 3: {"city":"Herzliya"}
ROW 4: {"city":"Bet Shemesh"}
ROW 5: {"city":"Tiberias"}
ROW 6: {"city":"Modi'in-Maccabim-Re'ut"}
ROW 7: {"city":"Be'er Sheva"}
ROW 8: {"city":"Pardes Hanna-Karkur"}
ROW 9: {"city":"Ramat Gan"}
Tel Aviv-Yafo   -  Jerusalem   -  Ra'anana   -  Herzliya   -  Bet Shemesh   -  Tiberias   -  Modi'in-Maccabim-Re'ut   -  Be'er Sheva   -  Pardes Hanna-Karkur   -  Ramat Gan   -  Rehovot   -  Kefar Sava   -  Giv'atayim   -  Haifa   -  Ashkelon   -  Petah Tikva   -  Rishon LeTsiyon   -  Netanya   -  Yavne   -  Kiryat Ono   -  Binyamina-Giv'at Ada   -  Ashdod   -  Ramat Hasharon   -  Lod   -  Bat Yam   -  

Other resources



SQL: SELECT * FROM joe_serp WHERE city like 'Hadera'
ROWS: 0

Why even tip?



Looking to download our data?

You can find the latest file here latest.csv (208.5 kb)

Looking for other cities in the world?

SQL: SELECT city from ( SELECT city,sum(events) FROM joe  WHERE city not like '(not set)' and city not like 'Hadera' group by 1 order by 2 desc  limit 100) c ORDER BY RAND() limit 20
ROWS: 20
ROW 0: {"city":"Helsinki"}
ROW 1: {"city":"Berlin"}
ROW 2: {"city":"Zurich"}
ROW 3: {"city":"Vilnius"}
ROW 4: {"city":"Nashville"}
ROW 5: {"city":"Vancouver"}
ROW 6: {"city":"Honolulu"}
ROW 7: {"city":"Edinburgh"}
ROW 8: {"city":"Tampa"}
ROW 9: {"city":"Ottawa"}
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