My sample of Chinese lang Twitter users' timezone compared to Ooof's results

My sample of Chinese lang Twitter users' timezone compared to Ooof's results : Sheet1


1	timezone	Freq.	Percent	Estimated	Ooof Freq	Ooof %	My Total population
2	.Missing	165	27.14	11,883	23255	30.60	43784
3	Alaska	53	8.72	3,818	5879	7.74
4	Amsterdam	3	0.49	215			Ooof Total population
5	Arizona	1	0.16	70			76000
6	Atlantic Time (Canada)	1	0.16	70
7	Baghdad	1	0.16	70			@jasonqng
8	Bangkok	8	1.32	578	1310	1.72	http://blockedonweibo.tumblr.com/post/39828699303/there-are-not-millions-of-twitter-users-in-china
9	Beijing	110	18.09	7,921	18164	23.90
10	Berlin	1	0.16	70
11	Brasilia	1	0.16	70
12	Budapest	1	0.16	70
13	Central America	1	0.16	70
14	Central Time (US & Canada)	9	1.48	648	594	0.78
15	Chongqing	3	0.49	215	480	0.63
16	Eastern Time (US & Canada)	4	0.66	289	1041	1.37
17	Greenland	2	0.33	144
18	Hawaii	9	1.48	648	1236	1.63
19	Hong Kong	27	4.44	1,944	3467	4.56
20	International Date Line West	1	0.16	70
21	Irkutsk	6	0.99	433
22	Istanbul	1	0.16	70
23	Jakarta	9	1.48	648	858	1.13
24	Kuala Lumpur	45	7.4	3,240	3362	4.42
25	London	6	0.99	433	550	0.72
26	Melbourne	2	0.33	144
27	Mid-Atlantic	1	0.16	70
28	Moscow	1	0.16	70
29	Mountain Time (US & Canada)	2	0.33	144
30	Osaka	2	0.33	144
31	Pacific Time (US & Canada)	16	2.63	1,152	2180	2.87
32	Paris	1	0.16	70
33	Quito	2	0.33	144
34	Rome	2	0.33	144
35	Santiago	2	0.33	144
36	Seoul	5	0.82	359
37	Singapore	41	6.74	2,951	4558	6.00
38	Solomon Is.	1	0.16	70
39	Taipei	40	6.58	2,881	3331	4.38
40	Tokyo	20	3.29	1,440	519	0.68
41	Volgograd	1	0.16	70
42	Wellington	1	0.16	70
43	Total	608	100

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