Women’s Time Use Survey Data Online View

Part 1

Part 2

Part 3

Part 4

Part 5

Respid	Hhid	Age_Rcod	Intno	Intdate	Intrvr	Intrw_Type	Pretot	Iwtot	Posttot	A_0	D_1	D_2	D_3	D_4	D_5	D_6	D_7	D_9	D_10	D_11	D_12	D_14	D_15	D_16	D_17	D_18	D_19	D_20	D_21	D_22	D_23	D_24	D_25	M_1	M_1_1	M_1_2	M_1_3	M_1_4	M_1_5	M_1_6	M_1_7	M_1_8	M_1_9	M_1_10	M_1_11	M_1_12	M_1_13	M_1_14	M_1_15	M_1_16	M_1_17	M_1_18	M_1_19	M_1_20	M_1_21	M_1_22	M_1_23	M_1_24	M_1_25	M_1_26	M_1_27	M_1_28	M_1_29	M_1_30	M_1_31	M_1_32	M_2	M_2_1	M_2_2	M_2_3	M_2_4	M_2_5	M_2_6	M_2_7	M_2_8	M_2_9	M_2_10	M_2_11	M_2_12	M_2_13	M_2_14	M_2_15	M_2_16	M_2_17	M_2_18	M_2_19	M_2_20	M_2_21	M_2_22	M_2_23	M_2_24	M_2_25	M_2_26	M_2_27	M_2_28	M_2_29	M_2_30	M_2_31	M_2_32	M_4	M_4_1	M_4_2	M_4_3	M_4_4	M_4_5	M_4_6	M_4_7	M_4_8	M_4_9	M_4_10	M_4_11	M_4_12	M_4_13	M_4_14	M_4_15	M_4_16	M_4_17	M_4_18	M_4_19	M_4_20	M_4_21	M_4_22	M_4_23	M_4_24	M_4_25	M_4_26	M_4_27	M_4_28	M_4_29	M_4_30	M_4_31	M_4_32	M_5	M_5_1	M_5_2	M_5_3	M_5_4	M_5_5	M_5_6	M_5_7	M_5_8	M_5_9	M_5_10	M_5_11	M_5_12	M_5_13	M_5_14	M_5_15	M_5_16	M_5_17	M_5_18	M_5_19	M_5_20	M_5_21	M_5_22	M_5_23	M_5_24
Respid	Hhid	Age_Rcod	Intno	Intdate	Intrvr	Intrw_Type	Pretot	Iwtot	Posttot	A_0	D_1	D_2	D_3	D_4	D_5	D_6	D_7	D_9	D_10	D_11	D_12	D_14	D_15	D_16	D_17	D_18	D_19	D_20	D_21	D_22	D_23	D_24	D_25	M_1	M_1_1	M_1_2	M_1_3	M_1_4	M_1_5	M_1_6	M_1_7	M_1_8	M_1_9	M_1_10	M_1_11	M_1_12	M_1_13	M_1_14	M_1_15	M_1_16	M_1_17	M_1_18	M_1_19	M_1_20	M_1_21	M_1_22	M_1_23	M_1_24	M_1_25	M_1_26	M_1_27	M_1_28	M_1_29	M_1_30	M_1_31	M_1_32	M_2	M_2_1	M_2_2	M_2_3	M_2_4	M_2_5	M_2_6	M_2_7	M_2_8	M_2_9	M_2_10	M_2_11	M_2_12	M_2_13	M_2_14	M_2_15	M_2_16	M_2_17	M_2_18	M_2_19	M_2_20	M_2_21	M_2_22	M_2_23	M_2_24	M_2_25	M_2_26	M_2_27	M_2_28	M_2_29	M_2_30	M_2_31	M_2_32	M_4	M_4_1	M_4_2	M_4_3	M_4_4	M_4_5	M_4_6	M_4_7	M_4_8	M_4_9	M_4_10	M_4_11	M_4_12	M_4_13	M_4_14	M_4_15	M_4_16	M_4_17	M_4_18	M_4_19	M_4_20	M_4_21	M_4_22	M_4_23	M_4_24	M_4_25	M_4_26	M_4_27	M_4_28	M_4_29	M_4_30	M_4_31	M_4_32	M_5	M_5_1	M_5_2	M_5_3	M_5_4	M_5_5	M_5_6	M_5_7	M_5_8	M_5_9	M_5_10	M_5_11	M_5_12	M_5_13	M_5_14	M_5_15	M_5_16	M_5_17	M_5_18	M_5_19	M_5_20	M_5_21	M_5_22	M_5_23	M_5_24
1,087,007	98,087	31	6	720,509	118	1	1	18	10	902	1	1	0	1	1	1	1	0	0	1	0	1	1	1	0	1	0	1	1	14	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
1,087,012	98,115	40	31	720,514	111	1	1	17	7	908	1	1	1	1	1	1	1	0	0	0	0	0	0	1	0	1	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
1,099,001	98,099	35	8	720,509	116	1	1	17	11	1,100	1	1	1	1	1	1	0	0	1	0	0	0	0	1	1	1	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	1	1	1	1	1	1	1	0	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
2,001,022	136,001	42	33	720,514	111	1	1	18	9	1,130	1	1	0	1	1	1	1	0	1	0	0	0	0	0	0	0	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
2,003,031	136,003	22	64	720,524	111	1	1	20	9	952	1	1	0	1	1	1	1	0	0	0	0	0	0	1	1	1	1	1	1	2	4	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0
2,029,003	136,029	33	120	720,719	84	1	1	14	7	1,001	1	1	1	1	1	1	1	0	0	0	0	1	0	1	0	1	1	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
2,046,002	136,046	31	7	720,508	103	1	1	22	11	1,130	1	1	1	1	1	1	1	0	0	0	0	1	0	1	0	0	1	0	1	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0
3,004,005	73,004	52	31	720,514	133	1	1	23	10	1,017	1	1	1	1	1	1	0	0	0	0	0	0	0	1	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
3,009,032	73,009	31	8	720,508	84	1	1	14	8	1,232	1	1	0	1	1	1	0	0	0	0	0	1	1	0	0	1	0	1	1	5	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
3,012,004	73,012	40	34	720,514	133	1	1	17	10	1,055	1	1	1	1	1	1	1	0	0	0	0	0	0	1	0	1	0	0	1	5	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

M_5_25	M_5_26	M_5_27	M_5_28	M_5_29	M_5_30	M_5_31	M_5_32	M_7	M_7_1	M_7_2	M_7_3	M_7_4	M_7_5	M_7_6	M_7_7	M_7_8	M_7_9	M_7_10	M_7_11	M_7_12	M_7_13	M_7_14	M_7_15	M_7_16	M_7_17	M_7_18	M_7_19	M_7_20	M_7_21	M_7_22	M_7_23	M_7_24	M_7_25	M_7_26	M_7_27	M_7_28	M_7_29	M_7_30	M_7_31	M_7_32	M_8	M_8_1	M_8_2	M_8_3	M_8_4	M_8_5	M_8_6	M_8_7	M_8_8	M_8_9	M_8_10	M_8_11	M_8_12	M_8_13	M_8_14	M_8_15	M_8_16	M_8_17	M_8_18	M_8_19	M_8_20	M_8_21	M_8_22	M_8_23	M_8_24	M_8_25	M_8_26	M_8_27	M_8_28	M_8_29	M_8_30	M_8_31	M_8_32	M_9	M_9_1	M_9_2	M_9_3	M_9_4	M_9_5	M_9_6	M_9_7	M_9_8	M_9_9	M_9_10	M_9_11	M_9_12	M_9_13	M_9_14	M_9_15	M_9_16	M_9_17	M_9_18	M_9_19	M_9_20	M_9_21	M_9_22	M_9_23	M_9_24	M_9_25	M_9_26	M_9_27	M_9_28	M_9_29	M_9_30	M_9_31	M_9_32	M_10	M_10_1	M_10_2	M_10_3	M_10_4	M_10_5	M_10_6	M_10_7	M_10_8	M_10_9	M_10_10	M_10_11	M_10_12	M_10_13	M_10_14	M_10_15	M_10_16	M_10_17	M_10_18	M_10_19	M_10_20	M_10_21	M_10_22	M_10_23	M_10_24	M_10_25	M_10_26	M_10_27	M_10_28	M_10_29	M_10_30	M_10_31	M_10_32	M_11	M_11_1	M_11_2	M_11_3	M_11_4	M_11_5	M_11_6	M_11_7	M_11_8	M_11_9	M_11_10	M_11_11	M_11_12	M_11_13	M_11_14	M_11_15	M_11_16	M_11_17	M_11_18
M_5_25	M_5_26	M_5_27	M_5_28	M_5_29	M_5_30	M_5_31	M_5_32	M_7	M_7_1	M_7_2	M_7_3	M_7_4	M_7_5	M_7_6	M_7_7	M_7_8	M_7_9	M_7_10	M_7_11	M_7_12	M_7_13	M_7_14	M_7_15	M_7_16	M_7_17	M_7_18	M_7_19	M_7_20	M_7_21	M_7_22	M_7_23	M_7_24	M_7_25	M_7_26	M_7_27	M_7_28	M_7_29	M_7_30	M_7_31	M_7_32	M_8	M_8_1	M_8_2	M_8_3	M_8_4	M_8_5	M_8_6	M_8_7	M_8_8	M_8_9	M_8_10	M_8_11	M_8_12	M_8_13	M_8_14	M_8_15	M_8_16	M_8_17	M_8_18	M_8_19	M_8_20	M_8_21	M_8_22	M_8_23	M_8_24	M_8_25	M_8_26	M_8_27	M_8_28	M_8_29	M_8_30	M_8_31	M_8_32	M_9	M_9_1	M_9_2	M_9_3	M_9_4	M_9_5	M_9_6	M_9_7	M_9_8	M_9_9	M_9_10	M_9_11	M_9_12	M_9_13	M_9_14	M_9_15	M_9_16	M_9_17	M_9_18	M_9_19	M_9_20	M_9_21	M_9_22	M_9_23	M_9_24	M_9_25	M_9_26	M_9_27	M_9_28	M_9_29	M_9_30	M_9_31	M_9_32	M_10	M_10_1	M_10_2	M_10_3	M_10_4	M_10_5	M_10_6	M_10_7	M_10_8	M_10_9	M_10_10	M_10_11	M_10_12	M_10_13	M_10_14	M_10_15	M_10_16	M_10_17	M_10_18	M_10_19	M_10_20	M_10_21	M_10_22	M_10_23	M_10_24	M_10_25	M_10_26	M_10_27	M_10_28	M_10_29	M_10_30	M_10_31	M_10_32	M_11	M_11_1	M_11_2	M_11_3	M_11_4	M_11_5	M_11_6	M_11_7	M_11_8	M_11_9	M_11_10	M_11_11	M_11_12	M_11_13	M_11_14	M_11_15	M_11_16	M_11_17	M_11_18
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
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