工作分析
按工作年限分组: 1年以下工作经验 1-3年工作经验 3-5年工作经验 5-10年工作经验 10年以上工作经验
按学历分组: 硕士 本科 大专 学历不限
全部数据
差异情况:使用标准差除以平均值得到,这个值越大,表示这个城市的薪资个体差异越大。(数学上这个值好像叫变异系数还是啥来的,忘记了)
城市 |
平均值 |
样本总数 |
样本差异情况 |
标准差 |
北京 |
15795.6497729197 |
8382 |
0.494063776525624 |
7804.05837948485 |
深圳 |
13759.8602023066 |
7180 |
0.518947409912183 |
7140.64381274077 |
上海 |
15029.9298415025 |
7116 |
0.481520025801269 |
7237.21220507156 |
广州 |
12787.1498769272 |
6389 |
0.595264747850715 |
7611.73954721842 |
杭州 |
14222.7723694659 |
5724 |
0.574252161614887 |
8167.45777732233 |
成都 |
11028.5309182934 |
5712 |
0.58438699176723 |
6444.9300069534 |
南京 |
11818.0920381794 |
5177 |
0.488219141475767 |
5769.81874876157 |
武汉 |
10344.4364604899 |
5010 |
0.564598772513624 |
5840.45612793777 |
西安 |
10360.0023424186 |
4598 |
0.566243032156108 |
5866.27913951555 |
郑州 |
8707.75862079927 |
4522 |
0.464205908834467 |
4042.19300447929 |
济南 |
9749.9121708134 |
4054 |
0.534183825343169 |
5208.24538016503 |
长沙 |
10482.1547527909 |
3978 |
0.472985218843706 |
4957.90425970242 |
天津 |
10704.4774010356 |
3686 |
0.652087393709965 |
6980.25476946856 |
苏州 |
11495.6175921413 |
3406 |
0.521361434200996 |
5993.37167486504 |
大连 |
10086.5152916092 |
3404 |
0.735051602936537 |
7414.10923314125 |
合肥 |
10145.9775490295 |
3332 |
0.632649467708895 |
6418.84729577994 |
青岛 |
9457.98565818402 |
3270 |
0.716877399939023 |
6780.21616729953 |
福州 |
10242.0915880153 |
3154 |
0.52720010398019 |
5399.63175017633 |
厦门 |
11798.4239132939 |
2786 |
0.605931215672153 |
7149.03334479763 |
石家庄 |
7660.15304198412 |
2707 |
0.553090641372242 |
4236.75895900053 |
沈阳 |
8118.40359095388 |
2683 |
0.968255689604653 |
7860.69046744794 |
重庆 |
9871.44588071233 |
2536 |
0.648673085124269 |
6403.34125407892 |
无锡 |
9879.93722828847 |
2150 |
0.52412286679692 |
5178.30102386417 |
长春 |
8043.42169947757 |
2070 |
0.67747399578458 |
5449.20903852547 |
南昌 |
8681.39386146574 |
1595 |
0.652599119707302 |
5665.46999182492 |
太原 |
8015.1240776882 |
1514 |
0.813886261935113 |
6523.39937453577 |
哈尔滨 |
7483.12123150771 |
1502 |
0.641009497014455 |
4796.75177670695 |
佛山 |
11159.3434347046 |
1476 |
0.651859098875637 |
7274.31955539035 |
东莞 |
11655.701077866 |
1348 |
0.552308795536377 |
6437.54622344827 |
珠海 |
11737.9651621798 |
1283 |
0.502979681140152 |
5903.95797450742 |
贵阳 |
8836.68067204852 |
1210 |
0.739472314507038 |
6534.48070911933 |
宁波 |
10334.5145635234 |
1075 |
0.521499575821597 |
5389.4449611996 |
昆明 |
9121.0371819261 |
1060 |
0.738659686193375 |
6737.34246255964 |
南宁 |
8817.30769198019 |
946 |
0.663715764245379 |
5852.1861133693 |
常州 |
8692.30349329361 |
926 |
0.445040779765495 |
3868.42952461372 |
烟台 |
8408.31435079726 |
884 |
0.722769239647486 |
6077.27097004278 |
呼和浩特 |
7753.67553847522 |
810 |
0.631293134341199 |
4894.8421333487 |
兰州 |
8492.23107629879 |
769 |
0.632135961127154 |
5368.24465353002 |
乌鲁木齐 |
8126.53061192051 |
759 |
0.45764364800215 |
3719.05511484045 |
潍坊 |
7320.35603741005 |
648 |
0.784431265409744 |
5742.31614967543 |
昆山 |
10600.7500000794 |
606 |
0.506798399911703 |
5372.44313790426 |
海口 |
8797.98245597304 |
596 |
0.569353267711064 |
5009.16006057286 |
徐州 |
7821.88034159505 |
594 |
0.90876866339188 |
7108.27974324256 |
南通 |
8402.70506087398 |
577 |
0.518371098979317 |
4355.71945680431 |
洛阳 |
7300.1779360279 |
574 |
0.68051098377471 |
4967.85126897678 |
保定 |
8210.33755284321 |
487 |
0.664264959032564 |
5453.83953818292 |
银川 |
8366.02272662249 |
468 |
1.08031015518768 |
9037.8993101012 |
惠州 |
11867.6108374384 |
423 |
0.781062370209194 |
9269.34424940997 |
唐山 |
8244.79418834243 |
416 |
0.550104933054869 |
4535.50195502928 |
嘉兴 |
11007.4307324003 |
400 |
0.622866169251486 |
6856.15621359129 |
淄博 |
7477.5641025641 |
392 |
0.935827301163594 |
6997.70863338033 |
温州 |
9107.26027358068 |
368 |
0.644363871914627 |
5868.38949241871 |
中山 |
9833.7175791133 |
361 |
0.752295232320279 |
7397.85885075105 |
廊坊 |
10740.173410818 |
352 |
0.772363840005642 |
8295.32157790594 |
临沂 |
8137.14285680225 |
350 |
1.01566856333239 |
8264.64019499878 |
泉州 |
11357.2254332503 |
346 |
1.1899179023806 |
13514.1658643969 |
威海 |
7356.48148148148 |
324 |
0.416526278888628 |
3064.16785719458 |
日本 |
23780.8777501216 |
322 |
0.321417902905037 |
7643.59985568518 |
扬州 |
8096.42857110419 |
310 |
0.594154621416972 |
4810.53045249396 |
西宁 |
7852.30496250991 |
300 |
0.398946561826297 |
3132.6500672049 |
金华 |
9873.63636363636 |
286 |
0.891072318718732 |
8798.12404873104 |
芜湖 |
9211.11111111111 |
280 |
0.676013567948948 |
6226.83608699642 |
泰安 |
7082.9596412556 |
278 |
0.513609731966727 |
3637.87700287644 |
绵阳 |
7140.40590388308 |
272 |
0.476061563344644 |
3399.27279751791 |
邯郸 |
5647.82608686228 |
254 |
0.371608017883847 |
2098.77745749158 |
秦皇岛 |
7387.86008230452 |
248 |
0.513850385792406 |
3796.25475347249 |
镇江 |
8304.58515283842 |
230 |
0.488324345655626 |
4055.33111070125 |
绍兴 |
9336.38613766963 |
213 |
0.532963666634651 |
4975.95458904933 |
济宁 |
7020.14218009478 |
212 |
0.765052772795394 |
5370.77924029942 |
连云港 |
7869.45945958833 |
187 |
0.463550373537293 |
3647.89087202876 |
柳州 |
7955.74324356543 |
183 |
0.822811252883896 |
6546.07506586066 |
桂林 |
7637.42690058479 |
172 |
0.466349730571314 |
3561.71197734583 |
泰州 |
7937.34939629773 |
169 |
0.542953194250601 |
4309.60920860293 |
盐城 |
7289.50617269233 |
166 |
0.447352752798652 |
3260.98065289668 |
新乡 |
7414.11042944785 |
164 |
0.65570283211575 |
4861.45320620788 |
江门 |
7336.64122155604 |
143 |
0.445793026290488 |
3270.62349296501 |
台州 |
9140.23437723517 |
137 |
0.553599220543418 |
5060.02662682154 |
宜昌 |
7500 |
136 |
0.398406323451709 |
2988.04742588782 |
包头 |
7020.30075223822 |
133 |
0.83762696056134 |
5880.39318132379 |
淮安 |
6606.69291301036 |
131 |
0.43249777984045 |
2857.38001696462 |
株洲 |
8279.06976744186 |
129 |
0.366792252243721 |
3036.6986464829 |
东营 |
7668.95161328777 |
124 |
0.549157193499544 |
4211.45994503691 |
拉萨 |
9207.39130351854 |
123 |
0.414581130403272 |
3817.21069467797 |
日照 |
7252.10526365982 |
123 |
0.622178783502739 |
4512.10603077768 |
湖州 |
10733.1932773109 |
123 |
0.627236839098015 |
6732.25422468857 |
张家港 |
8688.55932203389 |
121 |
0.446400553092878 |
3878.57768693622 |
南阳 |
5527.73109203627 |
120 |
0.441930723071382 |
2442.87419844775 |
邢台 |
6534.18803418803 |
119 |
0.459012030885319 |
2999.2709197592 |
许昌 |
8710.68376047998 |
118 |
0.850216329058848 |
7405.96557042781 |
宿迁 |
7381.69642857142 |
115 |
0.361973373850012 |
2671.97756098658 |
吉林市 |
8404.42477812809 |
113 |
0.829817099734945 |
6974.13539432676 |
聊城 |
6274.75728109044 |
103 |
0.446941747691058 |
2804.45098554775 |
赣州 |
8237.1287133434 |
103 |
0.416524329472995 |
3430.96451410811 |
1-3年工作经验
城市 |
平均值 |
样本总数 |
样本差异请求 |
标准差 |
北京 |
12523.5539000876 |
2366 |
0.393322773931723 |
4925.79895946592 |
广州 |
10621.0131331523 |
2173 |
0.504771196665673 |
5361.18150902313 |
上海 |
12274.7969552345 |
2074 |
0.407900024848485 |
5006.88998305027 |
深圳 |
12007.1723424244 |
2064 |
0.378474993760636 |
4544.41447738197 |
成都 |
9406.09255965578 |
1791 |
0.454263978283557 |
4272.8490262526 |
杭州 |
11929.0957131668 |
1785 |
0.478520103824019 |
5708.31211919127 |
南京 |
10745.2755902912 |
1734 |
0.471745556259143 |
5069.03601049973 |
郑州 |
7593.95006402048 |
1609 |
0.386312321788591 |
2933.63648077837 |
济南 |
8267.3235855054 |
1599 |
0.392283781553838 |
3243.1369594513 |
武汉 |
9642.28650131173 |
1501 |
0.515622345828802 |
4971.77838495975 |
西安 |
8772.76579367545 |
1372 |
0.411986347962653 |
3614.25974086803 |
福州 |
8935.21545333635 |
1366 |
0.339537523679107 |
3033.84092856512 |
天津 |
9206.54388692311 |
1321 |
0.61943399265137 |
5702.84623839684 |
合肥 |
9159.36749357524 |
1279 |
0.728440513326359 |
6672.05435876472 |
长沙 |
8811.36731403159 |
1255 |
0.522103542265747 |
4600.44608686051 |
苏州 |
9974.05575569585 |
1186 |
0.410578536119171 |
4095.13321134459 |
青岛 |
8472.16189507788 |
1049 |
0.548382099125978 |
4645.98192415794 |
石家庄 |
6721.20758480654 |
1014 |
0.354957762672886 |
2385.74480676296 |
厦门 |
9963.78433376944 |
986 |
0.538794476685685 |
5368.43196592234 |
重庆 |
8620.64516108523 |
945 |
0.621653019003261 |
5359.05009014448 |
大连 |
9599.65477522003 |
907 |
0.578936227911065 |
5557.58792481433 |
无锡 |
8837.25099576263 |
784 |
0.444490473763677 |
3928.07388187506 |
沈阳 |
7392.54901985717 |
782 |
0.550730580135163 |
4071.30281038357 |
长春 |
7125.72674418604 |
694 |
0.486239459111105 |
3464.80951786655 |
太原 |
6780.59936923559 |
643 |
0.485023516713175 |
3288.75015148978 |
南昌 |
7731.05802043713 |
598 |
0.725824503500584 |
5611.39134921799 |
佛山 |
9610.901468205 |
539 |
0.626714954595306 |
6023.29567726606 |
哈尔滨 |
6788.35877867145 |
525 |
0.497355865024396 |
3376.23005246209 |
贵阳 |
7526.11218568665 |
522 |
0.695020116902939 |
5230.79937112057 |
珠海 |
9926.10062893081 |
480 |
0.366235268840579 |
3635.28813237512 |
昆明 |
7555.61555101341 |
474 |
0.362456946532598 |
2738.58534179453 |
东莞 |
10329.3632072097 |
437 |
0.39542389539929 |
4084.477036389 |
宁波 |
9520.68557975985 |
437 |
0.409041865055772 |
3894.35898615457 |
南宁 |
7553.01047120418 |
402 |
0.529990275934045 |
4003.02210376624 |
乌鲁木齐 |
7391.26074484904 |
358 |
0.288660776959578 |
2133.56706931895 |
烟台 |
7524.40828402366 |
340 |
0.431987300535774 |
3250.4488227444 |
常州 |
7907.6923076923 |
326 |
0.336457070640456 |
2660.59898937222 |
潍坊 |
6564.96710526315 |
305 |
0.410971759725555 |
2698.01608379038 |
兰州 |
7267.91809117834 |
298 |
0.667196733555456 |
4849.13121018279 |
呼和浩特 |
7127.24014336917 |
284 |
0.53494752581826 |
3812.69948060792 |
海口 |
7585.90733590733 |
264 |
0.417055333878839 |
3163.74311675077 |
徐州 |
7296.38554149842 |
251 |
0.747003714688307 |
5450.42710329737 |
洛阳 |
5869.23076894119 |
251 |
0.386467884441771 |
2268.26919857325 |
昆山 |
8928.94736821191 |
230 |
0.358848490238408 |
3204.13928250105 |
南通 |
7020.09132409204 |
221 |
0.395529468253726 |
2776.65298851072 |
银川 |
6878.75 |
208 |
0.323296087070903 |
2223.87295893897 |
保定 |
6858.91891879004 |
191 |
0.469544184461822 |
3220.56549001303 |
唐山 |
7365.47618962469 |
169 |
0.671110379829192 |
4943.0475232419 |
淄博 |
6576.34730538922 |
168 |
0.42277967595041 |
2780.34598270981 |
临沂 |
7363.49693251533 |
163 |
0.430739062639195 |
3171.74576645824 |
温州 |
8657.09459459459 |
151 |
0.820128618342652 |
7099.93102872651 |
中山 |
8728.62318806026 |
145 |
0.417446180310215 |
3643.73040922293 |
泉州 |
7576.64233576642 |
137 |
0.384726876125211 |
2914.93793735743 |
金华 |
9392 |
132 |
1.15956703658075 |
10890.6536075664 |
廊坊 |
8423.10606168978 |
132 |
0.434042398371437 |
3655.98515675282 |
日本 |
24292.96875 |
129 |
0.256625997688275 |
6234.20734227884 |
嘉兴 |
8905.11810967302 |
128 |
0.4440871575478 |
3954.64858895213 |
泰安 |
7115.74074074074 |
124 |
0.501085337316349 |
3565.59334932976 |
惠州 |
9625 |
123 |
0.385825774258676 |
3713.57307723976 |
威海 |
7032.7868852459 |
122 |
0.39195034811926 |
2756.5032679207 |
西宁 |
6983.47826004028 |
119 |
0.320952846313585 |
2241.36722472897 |
扬州 |
7060.7476635514 |
110 |
0.308930765906132 |
2181.28218357086 |
济宁 |
6735.98130841121 |
107 |
0.525824435033273 |
3541.94356589001 |
镇江 |
8188.77551020408 |
99 |
0.409529255179784 |
3353.54313552833 |
秦皇岛 |
6704.08163265306 |
99 |
0.525546884547063 |
3523.30921579 |
绵阳 |
6780.61224489795 |
98 |
0.329237662489678 |
2232.43292575909 |
绍兴 |
8338.60759493671 |
89 |
0.316356972979184 |
2637.97665759541 |
芜湖 |
7334.30232558139 |
88 |
0.34557233664968 |
2534.53199234634 |
连云港 |
6991.86046456181 |
88 |
0.328173646568481 |
2294.54434495325 |
邯郸 |
5209.74025943062 |
77 |
0.303425869988067 |
1580.76997062959 |
新乡 |
6226.97368421052 |
76 |
0.421637484651022 |
2625.52552119863 |
盐城 |
6634.05797101449 |
71 |
0.392549782698982 |
2604.19801493419 |
柳州 |
7177.4193548387 |
70 |
0.374487825129611 |
2687.85616423673 |
泰州 |
7808.59375 |
64 |
0.538436246098565 |
4204.42990605871 |
台州 |
8542.98246115968 |
64 |
0.374849792153118 |
3202.33519993344 |
桂林 |
7254.16666666666 |
61 |
0.398713753148523 |
2892.33601763157 |
拉萨 |
8600.89285884584 |
60 |
0.3173575890531 |
2729.55862138734 |
淮安 |
6282.14285629136 |
59 |
0.365895911113226 |
2298.61038414617 |
宜昌 |
7172.41379310344 |
59 |
0.345915883751609 |
2481.05185587361 |
南阳 |
5236.11111111111 |
55 |
0.296809746203988 |
1554.12880998477 |
邢台 |
5687.5 |
54 |
0.282756653486352 |
1608.17846670362 |
江门 |
6769.23076923076 |
53 |
0.276737211064221 |
1873.29804412703 |
聊城 |
6406.86274509803 |
51 |
0.477776098659983 |
3061.04588700293 |
宿迁 |
6960 |
50 |
0.262125044413361 |
1824.39030911699 |
包头 |
5774.00000095367 |
50 |
0.55328020168214 |
3194.63988504032 |
东营 |
7199.00000095367 |
50 |
0.498745159591715 |
3590.46640437639 |
日照 |
6783.72093134148 |
48 |
0.643271486698146 |
4363.77424884936 |
张家港 |
8222.82608695652 |
47 |
0.316926056841232 |
2606.02784783035 |
沧州 |
7326.08695652173 |
47 |
0.475347395291773 |
3482.43635246364 |
湖州 |
8394.44444444444 |
46 |
0.327596948972838 |
2749.99438832199 |
汕头 |
7598.83720930232 |
45 |
0.34637646348631 |
2632.05835916632 |
吉林市 |
6444.44444444444 |
45 |
0.540627910355551 |
3484.04653340244 |
常熟 |
7490.69768328999 |
44 |
0.298152328301822 |
2233.36895487797 |
株洲 |
7401.16279069767 |
43 |
0.303450616800759 |
2245.88741388003 |
许昌 |
8649.99999941849 |
42 |
1.04025093025577 |
8998.17054610755 |
德州 |
6577.38095238095 |
42 |
0.533836174302413 |
3511.24388454861 |
安阳 |
6481.25 |
41 |
0.224649344443855 |
1456.00856367673 |
赣州 |
6731.25 |
40 |
0.293194509072682 |
1973.56553919549 |
襄阳 |
6935.89743589743 |
40 |
0.234123779637608 |
1623.8585228711 |
3-5年工作经验
城市 |
平均值 |
样本总数 |
样本差异请求 |
标准差 |
北京 |
17028.8551039404 |
3317 |
0.41058084922894 |
6991.72178997243 |
上海 |
16591.0407942394 |
2792 |
0.35988008824249 |
5970.78522506567 |
深圳 |
16011.696141824 |
2672 |
0.395992077981286 |
6340.50482720586 |
广州 |
14391.2740386449 |
2157 |
0.445351737239585 |
6409.17889420146 |
杭州 |
16004.6801872074 |
2069 |
0.404318445169231 |
6470.98740872253 |
成都 |
12924.8429466696 |
1847 |
0.460853614905954 |
5956.46059406442 |
南京 |
13739.327217242 |
1751 |
0.321147962121311 |
4412.35693673515 |
西安 |
11493.75 |
1549 |
0.456982516706622 |
5252.44280139674 |
长沙 |
11321.7376830892 |
1540 |
0.353844446946376 |
4006.13400894465 |
武汉 |
12505.210642804 |
1404 |
0.397934121137042 |
4976.25000677782 |
郑州 |
10111.9155355168 |
1395 |
0.354240880901926 |
3582.05386690736 |
济南 |
11357.9866890105 |
1222 |
0.362999325741226 |
4122.94150988867 |
天津 |
12204.359925523 |
1115 |
0.473493160316651 |
5778.68095077782 |
苏州 |
13660.6461865417 |
1005 |
0.379884628845573 |
5189.46950636509 |
合肥 |
11808.2976443354 |
966 |
0.469384955392881 |
5542.63726305223 |
大连 |
11401.7142857142 |
939 |
0.53134411824152 |
6058.23382358459 |
厦门 |
13462.7598152424 |
876 |
0.376593710600885 |
5069.99067375066 |
福州 |
12698.9856801909 |
864 |
0.503820508825446 |
6398.00942696084 |
青岛 |
11180.1619433198 |
834 |
0.394218084723777 |
4407.42202819721 |
重庆 |
11295.3667959804 |
805 |
0.4207962485258 |
4753.04797347147 |
石家庄 |
8719.49152529939 |
775 |
0.502208174193057 |
4378.99991881244 |
沈阳 |
9456.41221454125 |
704 |
0.655526468607822 |
6198.9285046981 |
无锡 |
11593.9609237928 |
580 |
0.364395046513001 |
4224.78193009541 |
佛山 |
13408.0310880829 |
545 |
0.541284873579794 |
7257.5644124669 |
长春 |
9416.50390578433 |
522 |
0.553018173976302 |
5207.49779521757 |
珠海 |
13971.8112240032 |
400 |
0.37868331364211 |
5290.89177188757 |
太原 |
8654.10256416369 |
396 |
0.437911285848025 |
3789.72918173362 |
南昌 |
11128.1249995032 |
389 |
0.471747195322202 |
5249.66175771056 |
东莞 |
14385.2459016393 |
380 |
0.381141712294982 |
5482.81725473519 |
哈尔滨 |
8736.01694868109 |
356 |
0.462558229902161 |
4040.91653617721 |
贵阳 |
10292.1296299239 |
336 |
0.453552530751597 |
4668.02144047552 |
昆明 |
11625.4980079681 |
261 |
0.859861950306152 |
9996.32339041176 |
宁波 |
12736.041667064 |
255 |
0.362463863266762 |
4616.35486537048 |
常州 |
10539.0495859887 |
245 |
0.360775460614121 |
3802.23046882014 |
南宁 |
12252.1834061135 |
235 |
0.550785213251428 |
6748.32145013186 |
烟台 |
9265.25821596244 |
215 |
0.919218700831697 |
8516.79862014721 |
兰州 |
10199.4818652849 |
197 |
0.51891846880067 |
5292.69951209388 |
海口 |
10852.9411764705 |
175 |
0.456331468279752 |
4952.53858221261 |
惠州 |
14016.6666666666 |
168 |
0.933761545675149 |
13088.22433188 |
乌鲁木齐 |
10092.4242424242 |
168 |
0.327426008109784 |
3304.52218184738 |
昆山 |
13718.1818181818 |
166 |
0.441740443003755 |
6059.87571356969 |
南通 |
10474.8322147651 |
149 |
0.37178077186221 |
3894.34120593252 |
保定 |
9419.84732824427 |
136 |
0.432629213199326 |
4075.30113807609 |
银川 |
9892.27642276422 |
133 |
0.792550148263989 |
7840.12514553015 |
潍坊 |
8126.953125 |
129 |
0.352714586190404 |
2866.49490847319 |
徐州 |
9761.62790697674 |
129 |
1.13426314656532 |
11072.2547853673 |
呼和浩特 |
10809.1666678587 |
124 |
0.750252407644159 |
8109.60331718802 |
洛阳 |
9370.53571428571 |
113 |
0.461150084723185 |
4321.22333854449 |
廊坊 |
13109.5238095238 |
111 |
0.455801345000786 |
5975.33858470079 |
5-10年工作经验
城市 |
平均值 |
样本总数 |
样本差异请求 |
标准差 |
北京 |
22767.854346273 |
1316 |
0.370227922234905 |
8429.29540836765 |
上海 |
22530.5860825656 |
886 |
0.360552014400809 |
8123.44819769987 |
深圳 |
20895.8215301502 |
779 |
0.387131161156689 |
8089.42365229002 |
广州 |
20871.7281882394 |
622 |
0.557453380314627 |
11635.0154315422 |
杭州 |
23470.7564551012 |
621 |
0.508630086304738 |
11937.9328813956 |
成都 |
17399.6197733135 |
545 |
0.480063858827289 |
8352.92861050452 |
西安 |
15518.6567164179 |
508 |
0.533003541924794 |
8271.49899576575 |
长沙 |
14739.6475775126 |
463 |
0.345875163339569 |
5098.07801343986 |
武汉 |
17320.1219512195 |
425 |
0.380754936146566 |
6594.72192758732 |
南京 |
18637.8205128205 |
414 |
0.335558638280512 |
6254.08167179866 |
郑州 |
13849.2647058823 |
377 |
0.312601978728642 |
4329.30755099557 |
大连 |
15065.2866242038 |
349 |
0.375244688184733 |
5653.168781713 |
天津 |
17012.4125880794 |
302 |
0.46771870860518 |
7957.02364595506 |
济南 |
15295.2727265791 |
280 |
0.688318073118633 |
10528.0126509829 |
苏州 |
17964.9019615322 |
280 |
0.379096809860134 |
6810.43702306695 |
青岛 |
14932.2916666666 |
273 |
0.667948028383763 |
9973.9947780013 |
合肥 |
16556.7982489602 |
247 |
0.50456144330925 |
8353.92202107546 |
厦门 |
18922.0338979009 |
241 |
0.364725077138328 |
6901.340273026 |
沈阳 |
12334.6354166666 |
216 |
0.404429927732788 |
4988.49571017279 |
福州 |
16606.6176470588 |
211 |
0.36974474658556 |
6140.20963355505 |
重庆 |
15935.0000044878 |
172 |
0.545194877248318 |
8687.68037139872 |
长春 |
12475 |
152 |
0.686755155820184 |
8567.2705688568 |
无锡 |
16314.2857142857 |
146 |
0.481623447543894 |
7857.34252993039 |
石家庄 |
13223.4042553191 |
143 |
0.518432412406233 |
6855.44136830796 |
佛山 |
19012.048192771 |
116 |
0.538847353062275 |
10244.5918449671 |
珠海 |
17043.3333351498 |
108 |
0.403319100707596 |
6873.90187379244 |
东莞 |
18605.5555555555 |
103 |
0.475587519613267 |
8848.57001769351 |
10年以上工作经验
城市 |
平均值 |
样本数 |
差异情况 |
标准差 |
北京 |
32159.0909090909 |
25 |
0.511538259153684 |
16450.6053796014 |
深圳 |
35357.1428571428 |
24 |
0.38806813560199 |
13720.9805087846 |
西安 |
25904.7619047619 |
22 |
0.471721406807172 |
12219.8307287191 |
上海 |
25647.0588235294 |
21 |
0.412898187070518 |
10589.6240919262 |
广州 |
30194.4444444444 |
18 |
0.295250863529185 |
8914.93579600625 |
青岛 |
14843.75 |
17 |
0.635855695401056 |
9438.48297860943 |
成都 |
31178.5714285714 |
15 |
0.300361466413545 |
9364.84143496518 |
长沙 |
20366.6666666666 |
15 |
0.196903335884134 |
4010.26460750686 |
泉州 |
56346.1538461538 |
13 |
0.739079266624921 |
41644.2740617504 |
杭州 |
34900 |
12 |
0.477608401971682 |
16668.5332288117 |
天津 |
31500 |
10 |
0.305735877527908 |
9630.68014212911 |
大连 |
21062.5 |
10 |
0.526344591022814 |
11086.132948418 |
苏州 |
21600 |
10 |
0.314644561806411 |
6796.32253501847 |
厦门 |
45000 |
9 |
0.734697571291754 |
33061.3907081289 |
武汉 |
21687.5 |
8 |
0.253323792571744 |
5493.95975139971 |
福州 |
20937.5 |
8 |
0.230431520578451 |
4824.65996211131 |
长春 |
21462.4999761581 |
8 |
0.705377368498503 |
15139.1617545816 |
沈阳 |
9500 |
6 |
0.239266345561155 |
2273.03028283097 |
太原 |
26000 |
6 |
1.01783891418378 |
26463.8117687783 |
无锡 |
23750 |
6 |
0.401980324118933 |
9547.03269782466 |
上海 |
30300 |
5 |
0.421822978446744 |
12781.2362469363 |
郑州 |
20375 |
5 |
0.14863854527099 |
3028.51035989642 |
佛山 |
21166.6666666666 |
5 |
0.522659111032317 |
11062.9511835173 |
深圳 |
28250 |
4 |
0.241869918030379 |
6832.82518435822 |
呼和浩特 |
14750 |
4 |
0.123391693038652 |
1820.02747232012 |
南昌 |
12125 |
4 |
0.555841260482827 |
6739.57528335428 |
重庆 |
31375 |
4 |
0.990126011304427 |
31065.2036046764 |
南京 |
22250 |
4 |
0.35406632037278 |
7877.97562829436 |
合肥 |
31250 |
4 |
0.44 |
13750 |
珠海 |
20500 |
4 |
0.181703224704284 |
3724.91610643783 |
1年以下工作经验
城市 |
平均值 |
样本总数 |
样本差异请求 |
标准差 |
上海 |
9300.00000288992 |
103 |
0.514953882267494 |
4789.07110657587 |
西安 |
6012.04819277108 |
83 |
0.451381397137792 |
2713.72671291275 |
广州 |
7583.33333186161 |
82 |
0.480677647110845 |
3645.13882321649 |
深圳 |
8111.90476493229 |
71 |
0.482623608251313 |
3914.99674744264 |
成都 |
7178.0303030303 |
66 |
0.626730115576515 |
4498.68776142991 |
南京 |
6337.71929824561 |
59 |
0.610586160656311 |
3869.7236936332 |
北京 |
9013.15789473684 |
58 |
0.480547044729551 |
4331.24638999661 |
天津 |
6772.32142857142 |
58 |
0.477162589711934 |
3231.49843121877 |
郑州 |
5352.72727229378 |
55 |
0.368245767104756 |
1971.11916048837 |
杭州 |
7811.32075471698 |
53 |
0.400411954720004 |
3127.74621234116 |
济南 |
9457.44680851063 |
47 |
0.650236839664373 |
6149.58032405986 |
青岛 |
6677.77777777777 |
45 |
0.590392701668037 |
3942.511263361 |
武汉 |
7279.06976744186 |
43 |
0.370367679127576 |
2695.93217597514 |
长春 |
4466.66667094597 |
40 |
0.350660760424332 |
1566.28473139593 |
大连 |
8528.57142857143 |
36 |
0.747927299508545 |
6378.75139723716 |
苏州 |
6827.94117927551 |
35 |
0.327647688980491 |
2237.15914788435 |
沈阳 |
4580.88235294117 |
34 |
0.556037889063308 |
2547.14415357677 |
南昌 |
5248.4848463174 |
33 |
0.397110713170073 |
2084.22956038342 |
福州 |
6032.25806451612 |
31 |
0.395943174166345 |
2388.43140545505 |
厦门 |
7448.27586206896 |
29 |
0.721361072544233 |
5372.89626446739 |
无锡 |
6586.20689655172 |
29 |
0.450041039279438 |
2964.06339663354 |
长沙 |
6508.92857142857 |
28 |
0.358471148928258 |
2333.26310329196 |
合肥 |
6070 |
26 |
0.534534814944503 |
3244.62632671313 |
石家庄 |
5197.91666666666 |
24 |
0.216423587717709 |
1124.95177365767 |
呼和浩特 |
5304.34782608695 |
23 |
0.334412166210251 |
1773.83844685437 |
本科
城市 |
平均值 |
样本总数 |
样本差异请求 |
标准差 |
北京 |
16650.6091283254 |
6030 |
0.469747913910469 |
7821.58890336951 |
上海 |
16139.6986699444 |
4578 |
0.455686683439502 |
7354.64575861991 |
深圳 |
15992.5759280827 |
3870 |
0.463513647127163 |
7412.77719538371 |
杭州 |
15016.0076157279 |
3697 |
0.499023415704947 |
7493.33941065208 |
广州 |
13849.1028707349 |
3476 |
0.596126556346571 |
8255.81800282064 |
成都 |
12266.644044674 |
3136 |
0.530063594770966 |
6502.10143809577 |
南京 |
13025.3990283449 |
3086 |
0.434439365377019 |
5658.7460876566 |
西安 |
11144.2663146162 |
2886 |
0.517614694726609 |
5768.43600639213 |
武汉 |
12021.6498993771 |
2590 |
0.453042785051054 |
5446.32175132257 |
天津 |
11077.1005660178 |
2421 |
0.539003144719215 |
5970.59203945463 |
长沙 |
11184.3179635538 |
2134 |
0.403186321251297 |
4509.36401543009 |
济南 |
10226.6683025729 |
2092 |
0.556497505048729 |
5691.11539534278 |
郑州 |
9719.04761907371 |
1974 |
0.420464993314177 |
4086.519292174 |
苏州 |
12637.455726458 |
1856 |
0.474761519932939 |
5999.77768877843 |
合肥 |
10981.9334838812 |
1841 |
0.541374745073463 |
5945.34144024993 |
福州 |
10988.9890534295 |
1617 |
0.47601101201494 |
5230.87980034411 |
青岛 |
10445.8362246287 |
1599 |
0.627366847418481 |
6553.37134089512 |
厦门 |
12700.675219398 |
1495 |
0.560295750891679 |
7116.13435888395 |
大连 |
11306.5921355874 |
1404 |
0.559974868531104 |
6331.40744466041 |
重庆 |
10288.6363639206 |
1383 |
0.455813365199987 |
4689.69796435762 |
沈阳 |
9009.89673034049 |
1260 |
0.629407493214849 |
5670.89651516828 |
石家庄 |
8476.98689954249 |
1172 |
0.587801618992404 |
4982.78662372848 |
无锡 |
10867.7209300773 |
1137 |
0.4513437179508 |
4905.07757023282 |
长春 |
8696.97275436008 |
1023 |
0.604678976900425 |
5258.87658723733 |
佛山 |
12143.9201461857 |
786 |
0.618467960097065 |
7510.62552039317 |
珠海 |
12993.1818179519 |
741 |
0.478818868549811 |
6221.38061693372 |
太原 |
8286.46408836485 |
740 |
0.806140181713755 |
6680.05166595895 |
南昌 |
9487.96033994334 |
736 |
0.663479450869284 |
6295.06671621516 |
贵阳 |
8899.31740614334 |
603 |
0.500152846046098 |
4451.01892855017 |
宁波 |
10859.174312364 |
582 |
0.421809785361726 |
4580.50598590385 |
东莞 |
13788.1086138303 |
578 |
0.439833839489027 |
6064.47675091275 |
昆明 |
9665.3773586705 |
558 |
0.578997977056288 |
5596.23393815587 |
哈尔滨 |
8088.36126593904 |
543 |
0.495205254613835 |
4005.39900010802 |
烟台 |
8642.70833333333 |
481 |
0.757485126595506 |
6546.72301600303 |
常州 |
9736.28841562474 |
432 |
0.395205294484265 |
3847.83273048071 |
南宁 |
9982.53333346049 |
401 |
0.623322628416625 |
6222.33891566917 |
乌鲁木齐 |
8897.38292011019 |
384 |
0.377632925880016 |
3359.94474479609 |
兰州 |
8553.31412103746 |
361 |
0.462887963230828 |
3959.22615236051 |
海口 |
9186.87707641196 |
320 |
0.484168058898472 |
4447.99244142525 |
呼和浩特 |
8444.40678014593 |
311 |
0.646652271289755 |
5460.59482407597 |
昆山 |
11442.3344949396 |
290 |
0.455498801743989 |
5211.96965159893 |
银川 |
8927.41312759723 |
280 |
1.18761636277222 |
10602.341907562 |
南通 |
9486.7041195823 |
270 |
0.514612855600191 |
4881.97989721235 |
潍坊 |
8162.4000005722 |
252 |
0.50139622104947 |
4092.59651498109 |
保定 |
9152.17391304347 |
236 |
0.627958157055726 |
5747.18226348827 |
惠州 |
13229.262672811 |
224 |
0.673618120935401 |
8911.47106301983 |
洛阳 |
8484.52380952381 |
219 |
0.507057096495444 |
4302.13800800361 |
徐州 |
9966.25615693078 |
210 |
1.09087987900801 |
10871.9883106355 |
嘉兴 |
11350.2906976744 |
175 |
0.608875007428747 |
6910.90833286495 |
廊坊 |
12764.8809523809 |
174 |
0.833758794802297 |
10642.8317586519 |
唐山 |
8587.71929685135 |
174 |
0.66597471754972 |
5719.20393311686 |
威海 |
7706.5868263473 |
167 |
0.404160298390911 |
3114.69643131199 |
中山 |
10906.462585034 |
157 |
0.389536952808905 |
4248.47020129848 |
泉州 |
14731.4102557989 |
156 |
1.28094086128112 |
18870.0653409486 |
扬州 |
9427.36486486486 |
154 |
0.619421228381987 |
5839.50992499978 |
西宁 |
7891.72932259122 |
150 |
0.402342853336712 |
3175.18089341235 |
淄博 |
8433.56643356643 |
144 |
0.544784638384969 |
4594.4774398061 |
泰安 |
8016.12903225806 |
136 |
0.519586946394551 |
4165.07600577568 |
日本 |
23312.6865785513 |
134 |
0.336850644254964 |
7852.89349329909 |
芜湖 |
10001.923076923 |
133 |
0.767625734606675 |
7677.73354940253 |
温州 |
9818.46153736114 |
132 |
0.475719619868688 |
4670.83479024878 |
绵阳 |
8098.46153809474 |
131 |
0.375740129327728 |
3042.91698567935 |
秦皇岛 |
8207.03125 |
130 |
0.505739507025519 |
4150.61993851803 |
绍兴 |
9638.88888888888 |
119 |
0.389774113445419 |
3756.98937126557 |
临沂 |
7745.19230654606 |
104 |
0.424283367292693 |
3286.15627215082 |
金华 |
11258.2417582417 |
100 |
1.16868652965413 |
13157.3554904468 |
镇江 |
8987.37373737373 |
100 |
0.423957983127514 |
3810.26884331016 |
硕士
城市 |
平均值 |
样本总数 |
样本差异请求 |
标准差 |
北京 |
18609.7972972972 |
307 |
0.457666709623478 |
8517.08469581396 |
上海 |
20976.4925401602 |
156 |
0.495798790685152 |
10400.1196342275 |
南京 |
17390.6976751578 |
141 |
0.425946186211245 |
7407.50135028628 |
杭州 |
24576.5872909909 |
136 |
0.709854874129715 |
17445.8102779843 |
苏州 |
16658.1196581196 |
128 |
0.502635179861708 |
8372.95697051683 |
合肥 |
16718.0851063829 |
113 |
0.864357532916405 |
14450.4027976397 |
西安 |
13705.4455445544 |
105 |
0.410218247445256 |
5622.22385174352 |
天津 |
14569.1489361702 |
103 |
0.54962099443807 |
8007.51012641423 |
武汉 |
16377.6041666666 |
100 |
0.621335696853799 |
10175.9900976915 |
成都 |
17122.1649474704 |
100 |
0.406672913387692 |
6963.12070269243 |
济南 |
11788.2352941176 |
87 |
0.42327136540324 |
4989.62244863584 |
广州 |
16980.5194805194 |
83 |
0.464925507523793 |
7894.67663749817 |
长沙 |
13975.6097560975 |
82 |
0.477422649669328 |
6672.27264050061 |
深圳 |
22233.8709677419 |
69 |
0.428433568280822 |
9525.73667540506 |
青岛 |
11261.5384615384 |
65 |
0.574703452073291 |
6472.04502950229 |
无锡 |
14285.0877192982 |
64 |
0.434573301297087 |
6207.91772949392 |
重庆 |
15449.1525423728 |
59 |
0.771183600433855 |
11914.1330812789 |
厦门 |
21326.923076923 |
52 |
0.804225359061047 |
17151.6523692057 |
沈阳 |
9919.14893591657 |
50 |
0.436228206118141 |
4327.01254653356 |
福州 |
14978.7234042553 |
47 |
0.381839477473629 |
5719.46791790288 |
佛山 |
15636.3636363636 |
41 |
0.389990188613394 |
6098.02840377307 |
郑州 |
13947.3684210526 |
39 |
0.585419737568629 |
8165.06476082562 |
石家庄 |
8825 |
30 |
0.43942233870184 |
3877.90213904373 |
大专
城市 |
平均值 |
样本总数 |
样本差异请求 |
标准差 |
深圳 |
11178.8831362004 |
2820 |
0.473160694198597 |
5289.40810508961 |
广州 |
11264.8999088454 |
2243 |
0.549787611374159 |
6193.30241325314 |
成都 |
9235.05859368015 |
2087 |
0.624327623426194 |
5765.70218399398 |
郑州 |
7948.2522798285 |
1992 |
0.434041720155038 |
3449.87309176297 |
上海 |
12743.1709909009 |
1969 |
0.456048004398149 |
5811.49770010479 |
南京 |
9381.28390579499 |
1697 |
0.46868228686947 |
4396.84159473976 |
武汉 |
8557.45398734976 |
1649 |
0.642805451983979 |
5500.77807817047 |
大连 |
9264.2764435195 |
1590 |
0.901048144805931 |
8347.55910240254 |
济南 |
9034.49163443026 |
1563 |
0.473855411709965 |
4281.04275302319 |
北京 |
12914.187417899 |
1538 |
0.514324468716981 |
6642.08258262243 |
长沙 |
9486.05737159695 |
1516 |
0.451727630413162 |
4285.1142184348 |
杭州 |
11828.1867755215 |
1513 |
0.602214872597788 |
7123.10999208353 |
西安 |
8528.41812372207 |
1290 |
0.642655689856329 |
5480.83643268383 |
石家庄 |
6992.73369964051 |
1273 |
0.474175204834751 |
3315.78093438191 |
福州 |
9192.30769192561 |
1253 |
0.575465347133579 |
5289.85453689264 |
青岛 |
8440.38135560892 |
1217 |
0.474688526604494 |
4006.55218967404 |
苏州 |
9338.60103608413 |
1172 |
0.464563164522096 |
4338.37004953257 |
合肥 |
8406.93693633552 |
1126 |
0.546099493843972 |
4591.02400571102 |
厦门 |
10161.198428197 |
1020 |
0.565319819517624 |
5744.32686151114 |
沈阳 |
7605.93654018585 |
991 |
1.30154155784266 |
9899.44249336596 |
天津 |
9402.05405364165 |
932 |
0.769749090793405 |
7237.22255938111 |
长春 |
7222.97297507419 |
852 |
0.741355853542402 |
5354.79329504983 |
重庆 |
8832.57484992821 |
847 |
0.720043205930226 |
6359.835511561 |
无锡 |
8089.79848860493 |
797 |
0.553802815353272 |
4480.15317863006 |
哈尔滨 |
6829.64788675308 |
710 |
0.653831514277721 |
4465.4390197794 |
东莞 |
9533.21005924213 |
681 |
0.559318852216767 |
5332.10410827665 |
南昌 |
7981.53013792435 |
648 |
0.590586554073815 |
4713.78438039305 |
太原 |
7718.43393125114 |
617 |
0.846839689764082 |
6536.27619580528 |
佛山 |
10214.6098001466 |
569 |
0.65937247427334 |
6735.23253765938 |
贵阳 |
8734.08644349261 |
511 |
0.955573886584928 |
8346.06492857697 |
南宁 |
7858.5176983502 |
462 |
0.664318536948422 |
5220.55897995129 |
珠海 |
9571.58836689038 |
452 |
0.461580058560264 |
4418.05431890401 |
呼和浩特 |
7519.79695358857 |
395 |
0.603727259681084 |
4539.90640814819 |
常州 |
7434.15584409391 |
386 |
0.360040300116602 |
2676.59570122116 |
昆明 |
8347.50656099144 |
385 |
0.995110830480276 |
8306.69418634774 |
宁波 |
9059.22190256696 |
350 |
0.560234874012862 |
5075.29204123916 |
兰州 |
8494.57478138708 |
343 |
0.76891044561915 |
6531.56728050153 |
乌鲁木齐 |
7395.78124955296 |
323 |
0.540699744811804 |
3998.89703431721 |
烟台 |
7792.19745222929 |
319 |
0.59118371849944 |
4606.62026509078 |
潍坊 |
6345.63758389261 |
298 |
0.353488475370618 |
2243.10975478469 |
徐州 |
6534.02061847477 |
292 |
0.32658252269406 |
2133.89693691649 |
昆山 |
9611.72161172161 |
276 |
0.528242582513372 |
5077.32064657541 |
南通 |
7234.99999990065 |
241 |
0.39983572812702 |
2892.81149295927 |
洛阳 |
5946.06986889152 |
229 |
0.51715945852019 |
3075.06627371915 |
海口 |
8091.24423831289 |
221 |
0.663445731084746 |
5368.10144907273 |
保定 |
7578.35051570971 |
201 |
0.705992957805728 |
5350.26209587446 |
温州 |
8089.37823834196 |
194 |
0.387716134658446 |
3136.3824623601 |
唐山 |
7624.73404280682 |
188 |
0.385587894308163 |
2940.00514422565 |
淄博 |
6445.65217391304 |
185 |
0.423907599669376 |
2732.36094134717 |
中山 |
8526.96629186694 |
182 |
0.414486754223441 |
3534.31458168862 |
嘉兴 |
9663.55932634429 |
177 |
0.58041709193782 |
5608.89500196535 |
临沂 |
7980 |
175 |
0.860764006450165 |
6868.89677147231 |
惠州 |
10368.2634730538 |
167 |
0.959443288027335 |
9947.76079772055 |
日本 |
24093.0379795122 |
160 |
0.312470472985886 |
7528.36297312512 |
银川 |
7599.99999778949 |
157 |
0.858877127123142 |
6527.46616423733 |
廊坊 |
8780.66666762034 |
150 |
0.476761328589828 |
4186.28230635909 |
金华 |
8204.39189189189 |
150 |
0.460341573352269 |
3776.82267191211 |
泉州 |
8421.14093959731 |
149 |
0.57170791558037 |
4814.4329333857 |
邯郸 |
5732.46268638924 |
134 |
0.393052557776603 |
2253.15912124423 |
西宁 |
7917.29322949746 |
134 |
0.378584884414578 |
2997.36754216562 |
威海 |
6878.78787878787 |
132 |
0.330212871157818 |
2271.46429554014 |
扬州 |
6644.26229430026 |
123 |
0.441395087064558 |
2932.74473387242 |
芜湖 |
8134.95575221239 |
115 |
0.494603833738694 |
4023.58030233889 |
镇江 |
7460.17699115044 |
113 |
0.496303434279094 |
3702.51146103784 |
绵阳 |
5848.55769230769 |
104 |
0.374266530116531 |
2188.91939368634 |
秦皇岛 |
6131.44329896907 |
100 |
0.482867192105734 |
2960.67280932871 |
济宁 |
6677.5 |
100 |
0.683862844195914 |
4566.49414211821 |
学历不限
城市 |
平均值 |
样本总数 |
样本差异请求 |
标准差 |
广州 |
12512.4020887728 |
482 |
0.556484098947565 |
6962.95280204038 |
北京 |
13337.4423961485 |
440 |
0.517696525863036 |
6904.74759238448 |
郑州 |
7909.00692873683 |
438 |
0.540731928714214 |
4276.65257078995 |
上海 |
11865.0793650793 |
395 |
0.537561307339086 |
6378.20757517408 |
武汉 |
8848.86363555084 |
361 |
0.61477432180577 |
5440.05414029751 |
青岛 |
8841.04046242774 |
351 |
1.40945711377737 |
12461.0673729623 |
大连 |
9467.61193915979 |
346 |
0.578892020042532 |
5480.72500043901 |
沈阳 |
6615.32507739938 |
329 |
1.1813603262608 |
7815.08259175784 |
成都 |
10257.0957094922 |
316 |
0.615703250431518 |
6315.32716832157 |
杭州 |
12720.3389830508 |
309 |
0.686943166133234 |
8738.14993530496 |
西安 |
9912.30158768003 |
303 |
0.64117982102442 |
6355.56775792875 |
济南 |
9598.02867434785 |
282 |
0.590338429596199 |
5666.0851748338 |
深圳 |
12209.3869717185 |
279 |
0.597872985791856 |
7299.66264346953 |
南京 |
11046.8085106382 |
247 |
0.684851165094917 |
7565.41967909108 |
长沙 |
9445.06726457399 |
229 |
0.935456013188384 |
8835.4449676145 |
苏州 |
10937.5 |
229 |
0.602476120219397 |
6589.58256489966 |
合肥 |
9322.72727272727 |
227 |
0.950621513486005 |
8862.38510981726 |
福州 |
10004.5662100456 |
224 |
0.556839688577225 |
5570.93953275205 |
哈尔滨 |
7322.39819004524 |
222 |
0.757530145652365 |
5546.93736742959 |
重庆 |
9664.28571428571 |
217 |
1.07416761025599 |
10381.0626905454 |
天津 |
10859.1787435006 |
213 |
1.15129677901468 |
12502.137510137 |
厦门 |
11150.0000043131 |
208 |
0.567337092552971 |
6325.80858441261 |
石家庄 |
7319.15422814402 |
202 |
0.575920280639431 |
4215.24935711599 |
长春 |
8692.30769314132 |
143 |
0.794127136140722 |
6902.79741480828 |
无锡 |
10204.3795620437 |
143 |
0.623953511006133 |
6367.05845537645 |
太原 |
7182.37704918032 |
125 |
0.640826613966831 |
4602.65836465931 |
宁波 |
11297.9166666666 |
124 |
0.673567514341239 |
7609.90964640112 |
南昌 |
8879.26829345827 |
123 |
0.718318717699153 |
6378.14461466369 |