Contraception (.xlsx)

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simplified_labour_parameters

	parameter_name	value	Notes
0	prob_live_birth	0.73	For use in SimplifiedPregnancyAndLabour Module

Method_Use_In_2010

	age	not_using	pill	IUD	injections	implant	male_condom	female_sterilization	other_modern	periodic_abstinence	withdrawal	other_traditional
0	15	0.981541	0	0	0.00481541	0	0.0104334	0	0	0.000802568	0.00160514	0
1	16	0.956447	0	0.000853971	0.0187874	0	0.0204953	0	0	0.00256191	0	0.000853971
2	17	0.917373	0.00105932	0	0.0413136	0	0.0275424	0	0	0.00317797	0.00741525	0.00105932
3	18	0.843715	0.00679502	0	0.103058	0	0.0396376	0	0	0	0.00566251	0
4	19	0.738693	0.0188442	0	0.182161	0	0.0376884	0	0	0.00125628	0.0138191	0.00251256
5	20	0.693305	0.0107991	0	0.218143	0	0.0410367	0.00431965	0	0.00215983	0.0215983	0.00323974
6	21	0.644362	0.0173482	0.00123916	0.272615	0	0.0371747	0.00123916	0	0.00123916	0.00743494	0.00619579
7	22	0.634744	0.018931	0	0.26392	0	0.0356347	0.00445434	0	0.00556793	0.0155902	0.00668151
8	23	0.642616	0.00676437	0.00225479	0.264938	0	0.0394588	0.00338219	0	0.00789177	0.0124014	0.00676437
9	24	0.588101	0.020595	0.00114416	0.286041	0	0.0297483	0.0125858	0	0.00800915	0.0228833	0.00915332
10	25	0.565121	0.0242826	0.00220751	0.30574	0	0.0375276	0.013245	0	0.00662252	0.0198676	0.00551876
11	26	0.551802	0.027027	0.00112613	0.324324	0	0.036036	0.0202703	0	0.00337838	0.0135135	0.00225225
12	27	0.543316	0.031016	0.00106952	0.315508	0	0.0331551	0.0149733	0	0.00534759	0.0192513	0.00534759
13	28	0.555556	0.0400916	0.00343643	0.294387	0	0.0229095	0.0297824	0	0.00801833	0.0171821	0.00229095
14	29	0.54571	0.0323488	0.00140647	0.279887	0	0.0295359	0.04782	0.00140647	0.00703235	0.0140647	0.00984529
15	30	0.535802	0.0234568	0	0.275309	0	0.0320988	0.0580247	0.00123457	0.0037037	0.0246914	0.0197531
16	31	0.557351	0.0403877	0.00323102	0.250404	0	0.0258481	0.0662359	0	0.00646204	0.0193861	0.00323102
17	32	0.534107	0.0261248	0.00290276	0.2627	0	0.0275762	0.0885341	0	0.0101597	0.0159652	0.00725689
18	33	0.525483	0.0351494	0.00175747	0.237258	0	0.0193322	0.121265	0	0.00702988	0.0210896	0.0123023
19	34	0.535655	0.0281924	0.00829187	0.200663	0	0.0331675	0.127695	0.00165837	0.00829187	0.0215589	0.0149254
20	35	0.515103	0.0286169	0.00158983	0.235294	0	0.0254372	0.133545	0.00158983	0.0063593	0.0206677	0.0158983
21	36	0.497278	0.0344828	0	0.201452	0	0.0254083	0.168784	0.00181488	0.0108893	0.0290381	0.0127042
22	37	0.551383	0.013834	0.00395257	0.179842	0	0.0177866	0.158103	0.00197628	0.00592885	0.0375494	0.0118577
23	38	0.542169	0.0321285	0.00200803	0.150602	0	0.0200803	0.192771	0	0.00401606	0.0200803	0.0220884
24	39	0.524297	0.0332481	0.00767263	0.12532	0	0.0306905	0.219949	0.00767263	0.0102302	0.0230179	0.00767263
25	40	0.502024	0.0202429	0	0.149798	0	0.0242915	0.238866	0	0.0121457	0.01417	0.0323887
26	41	0.559524	0.0238095	0	0.0982143	0	0.014881	0.255952	0	0.00892857	0.0119048	0.0208333
27	42	0.580563	0.0127877	0	0.104859	0	0.0204604	0.230179	0	0.0102302	0.0179028	0.0179028
28	43	0.566038	0.0113208	0	0.132075	0	0.0188679	0.226415	0	0.0226415	0.00754717	0.00754717
29	44	0.580756	0.00687285	0	0.0721649	0	0.00687285	0.285223	0	0.00687285	0.00687285	0.0309278
30	45	0.601824	0.00607903	0	0.0547112	0	0.0334347	0.246201	0	0.0121581	0.0243161	0.0182371
31	46	0.558904	0.00547945	0.00273973	0.0657534	0	0.00547945	0.29589	0	0.0109589	0.0109589	0.0383562
32	47	0.642857	0.00571429	0	0.06	0	0.0114286	0.254286	0	0	0.0142857	0.0114286
33	48	0.651026	0	0.00293255	0.0381232	0	0.00293255	0.26393	0	0.0058651	0.0117302	0.0234604
34	49	0.705645	0.00806452	0	0.0322581	0	0.00403226	0.217742	0	0	0.0120968	0.0201613

Pregnancy_NotUsing_In_2010

	age	AnnualProb
0	15	0.0153272
1	16	0.0780862
2	17	0.148498
3	18	0.298088
4	19	0.402345
5	20	0.532862
6	21	0.552413
7	22	0.586474
8	23	0.569371
9	24	0.598742
10	25	0.622747
11	26	0.569917
12	27	0.605366
13	28	0.550112
14	29	0.556307
15	30	0.473691
16	31	0.474888
17	32	0.512612
18	33	0.514211
19	34	0.460733
20	35	0.439926
21	36	0.420458
22	37	0.400272
23	38	0.367537
24	39	0.375536
25	40	0.339787
26	41	0.178505
27	42	0.197169
28	43	0.174295
29	44	0.147198
30	45	0.0753617
31	46	0.0791707
32	47	0.0387705
33	48	0.050504
34	49	0.0356053

Pregnancy_NotUsing_HIVeffect

	age_	RR_pregnancy
0	15	1.4
1	16	1.4
2	17	1.4
3	18	1.4
4	19	1.4
5	20	0.9
6	21	0.9
7	22	0.9
8	23	0.9
9	24	0.9
10	25	0.8
11	26	0.8
12	27	0.8
13	28	0.8
14	29	0.8
15	30	0.7
16	31	0.7
17	32	0.7
18	33	0.7
19	34	0.7
20	35	0.5
21	36	0.5
22	37	0.5
23	38	0.5
24	39	0.5
25	40	0.4
26	41	0.4
27	42	0.4
28	43	0.4
29	44	0.4
30	45	0.3
31	46	0.3
32	47	0.3
33	48	0.3
34	49	0.3

Failure_ByMethod

	pill	IUD	injections	implant	male_condom	female_sterilization	other_modern	periodic_abstinence	withdrawal	other_traditional
0	0.00192848	0	0.000530667	9.50789e-05	0.00117109	0	0	0.000552797	0.00358032	0.004923

Initiation_ByMethod

	not_using	pill	IUD	injections	implant	male_condom	female_sterilization	other_modern	periodic_abstinence	withdrawal	other_traditional
0	0.993934	0.000397942	1.84759e-05	0.00382829	0.000117488	0.000793041	0.000274295	2.5582e-05	9.2853e-05	0.000358621	0.000159177

Interventions_Pop

	pill	IUD	injections	implant	male_condom	female_sterilization	other_modern	periodic_abstinence	withdrawal	other_traditional
0	2.5	11	1.6	8	2.6	2	5	1	1	1

Initiation_ByAge

	age	r_init1_age
0	15	0.3291
1	16	0.224538
2	17	0.147192
3	18	0.089718
4	19	0.0469456
5	20	0.0151724
6	21	-0.00829227
7	22	-0.0254293
8	23	-0.0377144
9	24	-0.0462588
10	25	-0.0519067
11	26	-0.0553051
12	27	-0.0569533
13	28	-0.0572394
14	29	-0.0564668
15	30	-0.0548739
16	31	-0.0526488
17	32	-0.0499404
18	33	-0.0468672
19	34	-0.0435234
20	35	-0.0399843
21	36	-0.0363101
22	37	-0.0325488
23	38	-0.0287386
24	39	-0.0249102
25	40	-0.0210879
26	41	-0.0172909
27	42	-0.0135343
28	43	-0.00982987
29	44	-0.00618677
30	45	-0.00261186
31	46	0.000889741
32	47	0.00431439
33	48	0.00765959
34	49	0.0109238

Initiation_AfterBirth

	not_using	pill	IUD	injections	implant	male_condom	female_sterilization	other_modern	periodic_abstinence	withdrawal	other_traditional
0	0.99654	0.000224019	5.84398e-06	0.00180189	5.06478e-05	0.000210383	0.000718809	1.1688e-05	0.000105192	0.000181163	0.000149995

Interventions_PPFP

	pill	IUD	injections	implant	male_condom	female_sterilization	other_modern	periodic_abstinence	withdrawal	other_traditional
0	2.5	11	1.6	8	2.6	2	5	1	1	1

Discontinuation_ByMethod

	pill	IUD	injections	implant	male_condom	female_sterilization	other_modern	periodic_abstinence	withdrawal	other_traditional
0	0.0496232	0.0111009	0.0333511	0.00627062	0.0503725	0	0.0332874	0.0422692	0.0423377	0.0497931

Discontinuation_ByAge

	age	r_discont_age
0	15	-0.881595
1	16	-0.628712
2	17	-0.438627
3	18	-0.29471
4	19	-0.185198
5	20	-0.101633
6	21	-0.037841
7	22	0.0107489
8	23	0.0475587
9	24	0.0751794
10	25	0.0955912
11	26	0.110321
12	27	0.120557
13	28	0.127226
14	29	0.131062
15	30	0.132644
16	31	0.132435
17	32	0.130802
18	33	0.128045
19	34	0.124401
20	35	0.120065
21	36	0.115193
22	37	0.109913
23	38	0.104328
24	39	0.0985241
25	40	0.0925688
26	41	0.0865184
27	42	0.0804186
28	43	0.0743063
29	44	0.0682116
30	45	0.0621585
31	46	0.0561666
32	47	0.0502512
33	48	0.0444246
34	49	0.038696

Prob_Switch_From

	pill	IUD	injections	implant	male_condom	female_sterilization	other_modern	periodic_abstinence	withdrawal	other_traditional
0	0.0109093	0.00145124	0.0030322	0.000862686	0.0114341	0	0.00265503	0.00751371	0.0137878	0.027214

Prob_Switch_From_And_To

	switchfrom	pill	IUD	injections	implant	male_condom	female_sterilization	other_modern	periodic_abstinence	withdrawal	other_traditional
0	pill	0	0	0.540323	0.217742	0.104839	0.0564516	0.0241935	0.00806452	0.0403226	0.00806452
1	IUD	0.125	0	0.375	0.25	0.125	0.125	0	0	0	0
2	injections	0.262806	0.0267261	0	0.447661	0.106904	0.0757238	0.00890869	0.00890869	0.0445434	0.0178174
3	implant	0.205882	0.0294118	0.632353	0	0.102941	0.0294118	0	0	0	0
4	male_condom	0.0829268	0.00487805	0.595122	0.22439	0	0.0292683	0.00487805	0.0097561	0.0487805	0
5	other_modern	0	0	1	0	0	0	0	0	0	0
6	periodic_abstinence	0	0	0.333333	0.666667	0	0	0	0	0	0
7	withdrawal	0.037037	0.0185185	0.518519	0.296296	0.111111	0.0185185	0	0	0	0
8	other_traditional	0	0	0.73913	0.144928	0.057971	0.057971	0	0	0	0

DELETE_irate2

	init2s	expos	irate2_year	irate2_quater	irate2_month	irate2hr_age	irate2hr_age_sq	meth	Unnamed: 8	Unnamed: 9
0	2307	447465	0.0618685	0.0154671	0.00515571	0.98281	0.999198	All methods
1	100	16906	0.0709807	0.0177452	0.00591506	1.219	0.995306	Pill		0.0059150597421034
2	19	5942	0.0383709	0.00959273	0.00319758	0.548307	1.00831	IUD
3	1301	217467	0.0717902	0.0179476	0.00598252	0.844363	1.00166	Injectables
4	307	74207	0.0496449	0.0124112	0.00413708	0.888496	1.00033	Implant
5	117	20475	0.0685714	0.0171429	0.00571429	1.19937	0.996962	Male condom
6	272	100004	0.0326387	0.00815967	0.00271989	1.11354	0.996993	Female Sterilisation
7	8	1297	0.074017	0.0185042	0.00616808	1.09034	0.997415	Other modern
8	12	2067	0.0696662	0.0174165	0.00580552	1.04346	0.996855	Abstinence
9	35	4594	0.0914236	0.0228559	0.00761863	0.927813	1.00088	withdrawal
10	137	4505	0.364928	0.091232	0.0304107	1.07912	0.998026	Other traditional

DELETE_Total Pop

	age_from	age_to	year	gender	value
0	0	120	1950	female	1535939
1	0	120	1951	female	1562492
2	0	120	1952	female	1590517
3	0	120	1953	female	1619995
4	0	120	1954	female	1650926
5	0	120	1955	female	1683296
6	0	120	1956	female	1717094
7	0	120	1957	female	1752332
8	0	120	1958	female	1789008
9	0	120	1959	female	1827139
10	0	120	1960	female	1866756
11	0	120	1961	female	1907896
12	0	120	1962	female	1950658
13	0	120	1963	female	1995128
14	0	120	1964	female	2041442
15	0	120	1965	female	2089737
16	0	120	1966	female	2140097
17	0	120	1967	female	2192652
18	0	120	1968	female	2247556
19	0	120	1969	female	2304978
20	0	120	1970	female	2365094
21	0	120	1971	female	2428002
22	0	120	1972	female	2493808
23	0	120	1973	female	2562727
24	0	120	1974	female	2635030
25	0	120	1975	female	2710878
26	0	120	1976	female	2791825
27	0	120	1977	female	2878175
28	0	120	1978	female	2967679
29	0	120	1979	female	3057105
30	0	120	1980	female	3144979
31	0	120	1981	female	3226373
32	0	120	1982	female	3303696
33	0	120	1983	female	3391297
34	0	120	1984	female	3508730
35	0	120	1985	female	3667914
36	0	120	1986	female	3878470
37	0	120	1987	female	4130841
38	0	120	1988	female	4394514
39	0	120	1989	female	4627202
40	0	120	1990	female	4799887
41	0	120	1991	female	4899757
42	0	120	1992	female	4939529
43	0	120	1993	female	4946925
44	0	120	1994	female	4962741
45	0	120	1995	female	5016449
46	0	120	1996	female	5117346
47	0	120	1997	female	5256277
48	0	120	1998	female	5422079
49	0	120	1999	female	5596346
50	0	120	2000	female	5765807
51	0	120	2001	female	5928091
52	0	120	2002	female	6088630
53	0	120	2003	female	6251065
54	0	120	2004	female	6421365
55	0	120	2005	female	6603728
56	0	120	2006	female	6798964
57	0	120	2007	female	7005098
58	0	120	2008	female	7220363
59	0	120	2009	female	7442085
60	0	120	2010	female	7668292
61	0	120	2011	female	7898441
62	0	120	2012	female	8133136
63	0	120	2013	female	8372943
64	0	120	2014	female	8618832
65	0	120	2015	female	8871473
66	0	120	2016	female	9130980
67	0	120	2017	female	9396953
68	0	120	2018	female	9669041
69	0	120	2019	female	9946712
70	0	120	2020	female	10229577
71	0	120	2021	female	10517419
72	0	120	2022	female	10810362
73	0	120	2023	female	11108725
74	0	120	2024	female	11412981
75	0	120	2025	female	11723437
76	0	120	2026	female	12040147
77	0	120	2027	female	12362844
78	0	120	2028	female	12691073
79	0	120	2029	female	13024239
80	0	120	2030	female	13361859
81	0	120	2031	female	13703729
82	0	120	2032	female	14049803
83	0	120	2033	female	14400021
84	0	120	2034	female	14754394
85	0	120	2035	female	15112883
86	0	120	2036	female	15475332
87	0	120	2037	female	15841561
88	0	120	2038	female	16211451
89	0	120	2039	female	16584880
90	0	120	2040	female	16961705
91	0	120	2041	female	17341798
92	0	120	2042	female	17724986
93	0	120	2043	female	18111058
94	0	120	2044	female	18499768
95	0	120	2045	female	18890905
96	0	120	2046	female	19284256
97	0	120	2047	female	19679666
98	0	120	2048	female	20077053
99	0	120	2049	female	20476341
100	0	120	2050	female	20877432
101	0	120	2051	female	21280160
102	0	120	2052	female	21684271
103	0	120	2053	female	22089508
104	0	120	2054	female	22495537
105	0	120	2055	female	22902091
106	0	120	2056	female	23308913
107	0	120	2057	female	23715781
108	0	120	2058	female	24122467
109	0	120	2059	female	24528714
110	0	120	2060	female	24934272
111	0	120	2061	female	25338885
112	0	120	2062	female	25742294
113	0	120	2063	female	26144234
114	0	120	2064	female	26544431
115	0	120	2065	female	26942610
116	0	120	2066	female	27338545
117	0	120	2067	female	27731966
118	0	120	2068	female	28122550
119	0	120	2069	female	28509918
120	0	120	2070	female	28893761
121	0	120	2071	female	29273840
122	0	120	2072	female	29649971
123	0	120	2073	female	30021985
124	0	120	2074	female	30389728
125	0	120	2075	female	30753075
126	0	120	2076	female	31111850
127	0	120	2077	female	31465873
128	0	120	2078	female	31815057
129	0	120	2079	female	32159329
130	0	120	2080	female	32498596
131	0	120	2081	female	32832770
132	0	120	2082	female	33161708
133	0	120	2083	female	33485218
134	0	120	2084	female	33803081
135	0	120	2085	female	34115130
136	0	120	2086	female	34421240
137	0	120	2087	female	34721384
138	0	120	2088	female	35015544
139	0	120	2089	female	35303785
140	0	120	2090	female	35586118
141	0	120	2091	female	35862527
142	0	120	2092	female	36132945
143	0	120	2093	female	36397284
144	0	120	2094	female	36655463
145	0	120	2095	female	36907437
146	0	120	2096	female	37153147
147	0	120	2097	female	37392611
148	0	120	2098	female	37625843
149	0	120	2099	female	37852918
150	0	120	2100	female	38073931
151	0	120	1950	male	1417932
152	0	120	1951	male	1445586
153	0	120	1952	male	1474519
154	0	120	1953	male	1504736
155	0	120	1954	male	1536250
156	0	120	1955	male	1569049
157	0	120	1956	male	1603123
158	0	120	1957	male	1638466
159	0	120	1958	male	1675041
160	0	120	1959	male	1712831
161	0	120	1960	male	1751842
162	0	120	1961	male	1792117
163	0	120	1962	male	1833777
164	0	120	1963	male	1876987
165	0	120	1964	male	1921970
166	0	120	1965	male	1968936
167	0	120	1966	male	2018026
168	0	120	1967	male	2069351
169	0	120	1968	male	2123099
170	0	120	1969	male	2179460
171	0	120	1970	male	2238627
172	0	120	1971	male	2300696
173	0	120	1972	male	2365805
174	0	120	1973	male	2434204
175	0	120	1974	male	2506171
176	0	120	1975	male	2581920
177	0	120	1976	male	2662884
178	0	120	1977	male	2749360
179	0	120	1978	male	2839170
180	0	120	1979	male	2929222
181	0	120	1980	male	3018091
182	0	120	1981	male	3101192
183	0	120	1982	male	3180758
184	0	120	1983	male	3270063
185	0	120	1984	male	3387199
186	0	120	1985	male	3543184
187	0	120	1986	male	3746832
188	0	120	1987	male	3989253
189	0	120	1988	male	4242421
190	0	120	1989	male	4467463
191	0	120	1990	male	4637660
192	0	120	1991	male	4741385
193	0	120	1992	male	4790196
194	0	120	1993	male	4808932
195	0	120	1994	male	4834231
196	0	120	1995	male	4892642
197	0	120	1996	male	4992441
198	0	120	1997	male	5125576
199	0	120	1998	male	5282671
200	0	120	1999	male	5448013
201	0	120	2000	male	5610354
202	0	120	2001	male	5767765
203	0	120	2002	male	5925084
204	0	120	2003	male	6085619
205	0	120	2004	male	6254679
206	0	120	2005	male	6435982
207	0	120	2006	male	6630300
208	0	120	2007	male	6835874
209	0	120	2008	male	7050873
210	0	120	2009	male	7272530
211	0	120	2010	male	7498804
212	0	120	2011	male	7729170
213	0	120	2012	male	7964177
214	0	120	2013	male	8204207
215	0	120	2014	male	8450006
216	0	120	2015	male	8702133
217	0	120	2016	male	8960600
218	0	120	2017	male	9225154
219	0	120	2018	male	9495687
220	0	120	2019	male	9772039
221	0	120	2020	male	10054124
222	0	120	2021	male	10341777
223	0	120	2022	male	10635107
224	0	120	2023	male	10934534
225	0	120	2024	male	11240643
226	0	120	2025	male	11553779
227	0	120	2026	male	11874067
228	0	120	2027	male	12201177
229	0	120	2028	male	12534479
230	0	120	2029	male	12873104
231	0	120	2030	male	13216384
232	0	120	2031	male	13563998
233	0	120	2032	male	13915934
234	0	120	2033	male	14272083
235	0	120	2034	male	14632453
236	0	120	2035	male	14996978
237	0	120	2036	male	15365459
238	0	120	2037	male	15737658
239	0	120	2038	male	16113410
240	0	120	2039	male	16492584
241	0	120	2040	male	16874998
242	0	120	2041	male	17260503
243	0	120	2042	male	17648867
244	0	120	2043	male	18039817
245	0	120	2044	male	18433042
246	0	120	2045	male	18828255
247	0	120	2046	male	19225217
248	0	120	2047	male	19623749
249	0	120	2048	male	20023716
250	0	120	2049	male	20425033
251	0	120	2050	male	20827571
252	0	120	2051	male	21231127
253	0	120	2052	male	21635452
254	0	120	2053	male	22040258
255	0	120	2054	male	22445264
256	0	120	2055	male	22850160
257	0	120	2056	male	23254716
258	0	120	2057	male	23658700
259	0	120	2058	male	24061889
260	0	120	2059	male	24464052
261	0	120	2060	male	24864976
262	0	120	2061	male	25264413
263	0	120	2062	male	25662123
264	0	120	2063	male	26057815
265	0	120	2064	male	26451198
266	0	120	2065	male	26841969
267	0	120	2066	male	27229913
268	0	120	2067	male	27614830
269	0	120	2068	male	27996515
270	0	120	2069	male	28374753
271	0	120	2070	male	28749382
272	0	120	2071	male	29120202
273	0	120	2072	male	29487034
274	0	120	2073	male	29849730
275	0	120	2074	male	30208159
276	0	120	2075	male	30562198
277	0	120	2076	male	30911671
278	0	120	2077	male	31256459
279	0	120	2078	male	31596414
280	0	120	2079	male	31931418
281	0	120	2080	male	32261369
282	0	120	2081	male	32586157
283	0	120	2082	male	32905652
284	0	120	2083	male	33219654
285	0	120	2084	male	33527935
286	0	120	2085	male	33830335
287	0	120	2086	male	34126720
288	0	120	2087	male	34417058
289	0	120	2088	male	34701343
290	0	120	2089	male	34979603
291	0	120	2090	male	35251864
292	0	120	2091	male	35518109
293	0	120	2092	male	35778285
294	0	120	2093	male	36032316
295	0	120	2094	male	36280152
296	0	120	2095	male	36521735
297	0	120	2096	male	36757067
298	0	120	2097	male	36986161
299	0	120	2098	male	37209060
300	0	120	2099	male	37425852
301	0	120	2100	male	37636665

DELETE_Mortality Rate

	age_from	age_to	year	gender	value
0	0	0	1950	female	0.215631
1	1	4	1950	female	0.0550514
2	5	9	1950	female	0.00934021
3	10	14	1950	female	0.0050781
4	15	19	1950	female	0.007092
5	20	24	1950	female	0.00890711
6	25	29	1950	female	0.00970289
7	30	34	1950	female	0.0100725
8	35	39	1950	female	0.0108301
9	40	44	1950	female	0.0113509
10	45	49	1950	female	0.0123517
11	50	54	1950	female	0.0163615
12	55	59	1950	female	0.0226411
13	60	64	1950	female	0.0372569
14	65	69	1950	female	0.0585379
15	70	74	1950	female	0.0960256
16	75	79	1950	female	0.153926
17	80	84	1950	female	0.241813
18	85	99	1950	female	0.370207
19	0	0	1955	female	0.208812
20	1	4	1955	female	0.0524896
21	5	9	1955	female	0.00892584
22	10	14	1955	female	0.0048685
23	15	19	1955	female	0.00680834
24	20	24	1955	female	0.00855398
25	25	29	1955	female	0.0093277
26	30	34	1955	female	0.00968123
27	35	39	1955	female	0.0104259
28	40	44	1955	female	0.0109575
29	45	49	1955	female	0.0119551
30	50	54	1955	female	0.0158562
31	55	59	1955	female	0.0219574
32	60	64	1955	female	0.0361066
33	65	69	1955	female	0.0567968
34	70	74	1955	female	0.0933249
35	75	79	1955	female	0.149888
36	80	84	1955	female	0.236149
37	85	99	1955	female	0.363594
38	0	0	1960	female	0.200351
39	1	4	1960	female	0.0492968
40	5	9	1960	female	0.00840067
41	10	14	1960	female	0.00460265
42	15	19	1960	female	0.00644943
43	20	24	1960	female	0.00810711
44	25	29	1960	female	0.00885416
45	30	34	1960	female	0.00918657
46	35	39	1960	female	0.00991627
47	40	44	1960	female	0.0104626
48	45	49	1960	female	0.0114572
49	50	54	1960	female	0.0152225
50	55	59	1960	female	0.0211024
51	60	64	1960	female	0.0346733
52	65	69	1960	female	0.0546414
53	70	74	1960	female	0.0900171
54	75	79	1960	female	0.145015
55	80	84	1960	female	0.229385
56	85	99	1960	female	0.355804
57	0	0	1965	female	0.193129
58	1	4	1965	female	0.0466007
59	5	9	1965	female	0.00795017
60	10	14	1965	female	0.00437726
61	15	19	1965	female	0.00614817
62	20	24	1965	female	0.00773115
63	25	29	1965	female	0.00845516
64	30	34	1965	female	0.00876974
65	35	39	1965	female	0.00948402
66	40	44	1965	female	0.0100411
67	45	49	1965	female	0.0110322
68	50	54	1965	female	0.0146784
69	55	59	1965	female	0.0203702
70	60	64	1965	female	0.0334425
71	65	69	1965	female	0.0527967
72	70	74	1965	female	0.087193
73	75	79	1965	female	0.140852
74	80	84	1965	female	0.22361
75	85	99	1965	female	0.349167
76	0	0	1970	female	0.180095
77	1	4	1970	female	0.0413052
78	5	9	1970	female	0.00698947
79	10	14	1970	female	0.00393671
80	15	19	1970	female	0.00560219
81	20	24	1970	female	0.00704082
82	25	29	1970	female	0.0077207
83	30	34	1970	female	0.00800072
84	35	39	1970	female	0.00866068
85	40	44	1970	female	0.00923085
86	45	49	1970	female	0.0102199
87	50	54	1970	female	0.013647
88	55	59	1970	female	0.0189741
89	60	64	1970	female	0.0310908
90	65	69	1970	female	0.0494414
91	70	74	1970	female	0.0821492
92	75	79	1970	female	0.13348
93	80	84	1970	female	0.213307
94	85	99	1970	female	0.33768
95	0	0	1975	female	0.168754
96	1	4	1975	female	0.0367786
97	5	9	1975	female	0.00621559
98	10	14	1975	female	0.00354
99	15	19	1975	female	0.00504571
100	20	24	1975	female	0.00636873
101	25	29	1975	female	0.00701082
102	30	34	1975	female	0.00729447
103	35	39	1975	female	0.00794044
104	40	44	1975	female	0.00855857
105	45	49	1975	female	0.00956252
106	50	54	1975	female	0.0128054
107	55	59	1975	female	0.0178787
108	60	64	1975	female	0.029253
109	65	69	1975	female	0.0466661
110	70	74	1975	female	0.0780797
111	75	79	1975	female	0.127792
112	80	84	1975	female	0.2061
113	85	99	1975	female	0.329918
114	0	0	1980	female	0.158542
115	1	4	1980	female	0.0324469
116	5	9	1980	female	0.0054689
117	10	14	1980	female	0.00315221
118	15	19	1980	female	0.00450355
119	20	24	1980	female	0.00576967
120	25	29	1980	female	0.00647538
121	30	34	1980	female	0.00678849
122	35	39	1980	female	0.00746105
123	40	44	1980	female	0.00807593
124	45	49	1980	female	0.00906724
125	50	54	1980	female	0.0121335
126	55	59	1980	female	0.0168629
127	60	64	1980	female	0.0274775
128	65	69	1980	female	0.0440108
129	70	74	1980	female	0.0741275
130	75	79	1980	female	0.122265
131	80	84	1980	female	0.198773
132	85	99	1980	female	0.322097
133	0	0	1985	female	0.150722
134	1	4	1985	female	0.0288319
135	5	9	1985	female	0.00483975
136	10	14	1985	female	0.00282297
137	15	19	1985	female	0.00406089
138	20	24	1985	female	0.00553656
139	25	29	1985	female	0.00668291
140	30	34	1985	female	0.00714835
141	35	39	1985	female	0.00803373
142	40	44	1985	female	0.00851909
143	45	49	1985	female	0.00942175
144	50	54	1985	female	0.0121855
145	55	59	1985	female	0.0164072
146	60	64	1985	female	0.0261173
147	65	69	1985	female	0.041662
148	70	74	1985	female	0.0706333
149	75	79	1985	female	0.117382
150	80	84	1985	female	0.192318
151	85	99	1985	female	0.315283
152	0	0	1990	female	0.137883
153	1	4	1990	female	0.0223272
154	5	9	1990	female	0.00365241
155	10	14	1990	female	0.00219465
156	15	19	1990	female	0.00331812
157	20	24	1990	female	0.00548762
158	25	29	1990	female	0.00865462
159	30	34	1990	female	0.010021
160	35	39	1990	female	0.0118865
161	40	44	1990	female	0.0116442
162	45	49	1990	female	0.0122575
163	50	54	1990	female	0.0142085
164	55	59	1990	female	0.017039
165	60	64	1990	female	0.0246991
166	65	69	1990	female	0.038019
167	70	74	1990	female	0.0641799
168	75	79	1990	female	0.107547
169	80	84	1990	female	0.179382
170	85	99	1990	female	0.301879
171	0	0	1995	female	0.119452
172	1	4	1995	female	0.0154261
173	5	9	1995	female	0.00256865
174	10	14	1995	female	0.00149876
175	15	19	1995	female	0.00235475
176	20	24	1995	female	0.0050111
177	25	29	1995	female	0.0116862
178	30	34	1995	female	0.0160762
179	35	39	1995	female	0.0200261
180	40	44	1995	female	0.0186897
181	45	49	1995	female	0.0181413
182	50	54	1995	female	0.0187719
183	55	59	1995	female	0.0193838
184	60	64	1995	female	0.0242212
185	65	69	1995	female	0.0345445
186	70	74	1995	female	0.057111
187	75	79	1995	female	0.0966742
188	80	84	1995	female	0.162593
189	85	99	1995	female	0.285303
190	0	0	2000	female	0.101195
191	1	4	2000	female	0.0106521
192	5	9	2000	female	0.0020195
193	10	14	2000	female	0.00129024
194	15	19	2000	female	0.0016692
195	20	24	2000	female	0.00392873
196	25	29	2000	female	0.0120094
197	30	34	2000	female	0.0199874
198	35	39	2000	female	0.0272415
199	40	44	2000	female	0.0252298
200	45	49	2000	female	0.0234303
201	50	54	2000	female	0.0222615
202	55	59	2000	female	0.0209034
203	60	64	2000	female	0.0237296
204	65	69	2000	female	0.0317833
205	70	74	2000	female	0.0513027
206	75	79	2000	female	0.0874668
207	80	84	2000	female	0.15026
208	85	99	2000	female	0.273456
209	0	0	2005	female	0.0800775
210	1	4	2005	female	0.00703738
211	5	9	2005	female	0.00147856
212	10	14	2005	female	0.00114593
213	15	19	2005	female	0.00126537
214	20	24	2005	female	0.00265637
215	25	29	2005	female	0.00751783
216	30	34	2005	female	0.013489
217	35	39	2005	female	0.0203955
218	40	44	2005	female	0.0198842
219	45	49	2005	female	0.017757
220	50	54	2005	female	0.0162947
221	55	59	2005	female	0.0155602
222	60	64	2005	female	0.0182194
223	65	69	2005	female	0.0256374
224	70	74	2005	female	0.0431959
225	75	79	2005	female	0.0764362
226	80	84	2005	female	0.13628
227	85	99	2005	female	0.259608
228	0	0	2010	female	0.065952
229	1	4	2010	female	0.00500885
230	5	9	2010	female	0.00105086
231	10	14	2010	female	0.000947516
232	15	19	2010	female	0.00109031
233	20	24	2010	female	0.00186571
234	25	29	2010	female	0.00371555
235	30	34	2010	female	0.00637146
236	35	39	2010	female	0.00983455
237	40	44	2010	female	0.0105223
238	45	49	2010	female	0.00941477
239	50	54	2010	female	0.00950568
240	55	59	2010	female	0.010246
241	60	64	2010	female	0.0136967
242	65	69	2010	female	0.0212045
243	70	74	2010	female	0.0380244
244	75	79	2010	female	0.0698363
245	80	84	2010	female	0.129202
246	85	99	2010	female	0.252646
247	0	0	2015	female	0.0581568
248	1	4	2015	female	0.00383413
249	5	9	2015	female	0.000786372
250	10	14	2015	female	0.000720342
251	15	19	2015	female	0.000948476
252	20	24	2015	female	0.0014563
253	25	29	2015	female	0.00230914
254	30	34	2015	female	0.00383182
255	35	39	2015	female	0.00632932
256	40	44	2015	female	0.00810948
257	45	49	2015	female	0.00780166
258	50	54	2015	female	0.00864937
259	55	59	2015	female	0.00965533
260	60	64	2015	female	0.012755
261	65	69	2015	female	0.0196777
262	70	74	2015	female	0.035323
263	75	79	2015	female	0.0655096
264	80	84	2015	female	0.12309
265	85	99	2015	female	0.24606
266	0	0	2020	female	0.0527095
267	1	4	2020	female	0.00332528
268	5	9	2020	female	0.000576679
269	10	14	2020	female	0.00051658
270	15	19	2020	female	0.000815254
271	20	24	2020	female	0.00130405
272	25	29	2020	female	0.00195068
273	30	34	2020	female	0.00295666
274	35	39	2020	female	0.00483406
275	40	44	2020	female	0.00676827
276	45	49	2020	female	0.00746096
277	50	54	2020	female	0.00895143
278	55	59	2020	female	0.0100533
279	60	64	2020	female	0.0128267
280	65	69	2020	female	0.0190496
281	70	74	2020	female	0.0335844
282	75	79	2020	female	0.0620211
283	80	84	2020	female	0.117903
284	85	99	2020	female	0.240366
285	0	0	2025	female	0.0482413
286	1	4	2025	female	0.00282473
287	5	9	2025	female	0.000457912
288	10	14	2025	female	0.000390303
289	15	19	2025	female	0.000624823
290	20	24	2025	female	0.00112347
291	25	29	2025	female	0.00164226
292	30	34	2025	female	0.00228399
293	35	39	2025	female	0.00335464
294	40	44	2025	female	0.00470351
295	45	49	2025	female	0.00564617
296	50	54	2025	female	0.00769355
297	55	59	2025	female	0.0094358
298	60	64	2025	female	0.0123027
299	65	69	2025	female	0.0182099
300	70	74	2025	female	0.031812
301	75	79	2025	female	0.0586212
302	80	84	2025	female	0.111575
303	85	99	2025	female	0.232193
304	0	0	2030	female	0.0443131
305	1	4	2030	female	0.00240843
306	5	9	2030	female	0.000372778
307	10	14	2030	female	0.000301411
308	15	19	2030	female	0.000490763
309	20	24	2030	female	0.000916725
310	25	29	2030	female	0.00135977
311	30	34	2030	female	0.00186122
312	35	39	2030	female	0.00251079
313	40	44	2030	female	0.00334962
314	45	49	2030	female	0.00406912
315	50	54	2030	female	0.00600135
316	55	59	2030	female	0.00818157
317	60	64	2030	female	0.0114452
318	65	69	2030	female	0.0172733
319	70	74	2030	female	0.0302331
320	75	79	2030	female	0.0557031
321	80	84	2030	female	0.105921
322	85	99	2030	female	0.22484
323	0	0	2035	female	0.0411778
324	1	4	2035	female	0.002164
325	5	9	2035	female	0.000330917
326	10	14	2035	female	0.000259751
327	15	19	2035	female	0.000407149
328	20	24	2035	female	0.000769056
329	25	29	2035	female	0.00112009
330	30	34	2035	female	0.00155075
331	35	39	2035	female	0.00202765
332	40	44	2035	female	0.00262908
333	45	49	2035	female	0.00309338
334	50	54	2035	female	0.00464518
335	55	59	2035	female	0.00670223
336	60	64	2035	female	0.0102124
337	65	69	2035	female	0.0162251
338	70	74	2035	female	0.0287278
339	75	79	2035	female	0.0530488
340	80	84	2035	female	0.1005
341	85	99	2035	female	0.217524
342	0	0	2040	female	0.0385258
343	1	4	2040	female	0.00201613
344	5	9	2040	female	0.000305587
345	10	14	2040	female	0.000240365
346	15	19	2040	female	0.000369562
347	20	24	2040	female	0.000668141
348	25	29	2040	female	0.000949471
349	30	34	2040	female	0.00130132
350	35	39	2040	female	0.00168974
351	40	44	2040	female	0.00221779
352	45	49	2040	female	0.00255202
353	50	54	2040	female	0.00379202
354	55	59	2040	female	0.0055084
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817	0	0	2015	male	0.0659929
818	1	4	2015	male	0.00398964
819	5	9	2015	male	0.000884812
820	10	14	2015	male	0.000900758
821	15	19	2015	male	0.00126554
822	20	24	2015	male	0.00163353
823	25	29	2015	male	0.00224294
824	30	34	2015	male	0.00392781
825	35	39	2015	male	0.00769868
826	40	44	2015	male	0.011853
827	45	49	2015	male	0.0145216
828	50	54	2015	male	0.017447
829	55	59	2015	male	0.0197174
830	60	64	2015	male	0.0226905
831	65	69	2015	male	0.0299454
832	70	74	2015	male	0.0483809
833	75	79	2015	male	0.0847964
834	80	84	2015	male	0.146748
835	85	99	2015	male	0.276874
836	0	0	2020	male	0.0602796
837	1	4	2020	male	0.00337991
838	5	9	2020	male	0.000643255
839	10	14	2020	male	0.000658886
840	15	19	2020	male	0.00108326
841	20	24	2020	male	0.00148118
842	25	29	2020	male	0.00195055
843	30	34	2020	male	0.00310234
844	35	39	2020	male	0.00575063
845	40	44	2020	male	0.00894773
846	45	49	2020	male	0.0116849
847	50	54	2020	male	0.0154316
848	55	59	2020	male	0.0191456
849	60	64	2020	male	0.0234457
850	65	69	2020	male	0.0302527
851	70	74	2020	male	0.0470515
852	75	79	2020	male	0.0819488
853	80	84	2020	male	0.142807
854	85	99	2020	male	0.272933
855	0	0	2025	male	0.0554381
856	1	4	2025	male	0.00277097
857	5	9	2025	male	0.000531092
858	10	14	2025	male	0.000501839
859	15	19	2025	male	0.000828733
860	20	24	2025	male	0.00125602
861	25	29	2025	male	0.00165131
862	30	34	2025	male	0.00249022
863	35	39	2025	male	0.00419907
864	40	44	2025	male	0.00626028
865	45	49	2025	male	0.00811093
866	50	54	2025	male	0.0116637
867	55	59	2025	male	0.0161332
868	60	64	2025	male	0.0216859
869	65	69	2025	male	0.0296702
870	70	74	2025	male	0.0460149
871	75	79	2025	male	0.0794828
872	80	84	2025	male	0.139086
873	85	99	2025	male	0.269202
874	0	0	2030	male	0.051376
875	1	4	2030	male	0.00235735
876	5	9	2030	male	0.000437526
877	10	14	2030	male	0.000428929
878	15	19	2030	male	0.000665005
879	20	24	2030	male	0.00102539
880	25	29	2030	male	0.00138433
881	30	34	2030	male	0.00209675
882	35	39	2030	male	0.00330534
883	40	44	2030	male	0.00473255
884	45	49	2030	male	0.00601964
885	50	54	2030	male	0.00893781
886	55	59	2030	male	0.0132367
887	60	64	2030	male	0.0191369
888	65	69	2030	male	0.0278693
889	70	74	2030	male	0.0446732
890	75	79	2030	male	0.0773411
891	80	84	2030	male	0.135387
892	85	99	2030	male	0.265357
893	0	0	2035	male	0.0479361
894	1	4	2035	male	0.00211758
895	5	9	2035	male	0.000389196
896	10	14	2035	male	0.000376813
897	15	19	2035	male	0.000562908
898	20	24	2035	male	0.000868032
899	25	29	2035	male	0.00114993
900	30	34	2035	male	0.00179723
901	35	39	2035	male	0.00273628
902	40	44	2035	male	0.00385118
903	45	49	2035	male	0.00487977
904	50	54	2035	male	0.00739207
905	55	59	2035	male	0.0111498
906	60	64	2035	male	0.0167533
907	65	69	2035	male	0.0255663
908	70	74	2035	male	0.0425133
909	75	79	2035	male	0.0749739
910	80	84	2035	male	0.131621
911	85	99	2035	male	0.26125
912	0	0	2040	male	0.0447353
913	1	4	2040	male	0.00188701
914	5	9	2040	male	0.000348913
915	10	14	2040	male	0.000340079
916	15	19	2040	male	0.00050133
917	20	24	2040	male	0.000743878
918	25	29	2040	male	0.000971439
919	30	34	2040	male	0.00152953
920	35	39	2040	male	0.00231432
921	40	44	2040	male	0.00327616
922	45	49	2040	male	0.00418301
923	50	54	2040	male	0.0064785
924	55	59	2040	male	0.00984815
925	60	64	2040	male	0.0149025
926	65	69	2040	male	0.0233379
927	70	74	2040	male	0.0400147
928	75	79	2040	male	0.0721855
929	80	84	2040	male	0.128047
930	85	99	2040	male	0.257333
931	0	0	2045	male	0.0416669
932	1	4	2045	male	0.0016746
933	5	9	2045	male	0.000309755
934	10	14	2045	male	0.00030765
935	15	19	2045	male	0.000453449
936	20	24	2045	male	0.000664907
937	25	29	2045	male	0.000826349
938	30	34	2045	male	0.0013142
939	35	39	2045	male	0.001964
940	40	44	2045	male	0.0028392
941	45	49	2045	male	0.00368114
942	50	54	2045	male	0.00583758
943	55	59	2045	male	0.00896539
944	60	64	2045	male	0.0135932
945	65	69	2045	male	0.0214434
946	70	74	2045	male	0.037493
947	75	79	2045	male	0.0690171
948	80	84	2045	male	0.124303
949	85	99	2045	male	0.252978
950	0	0	2050	male	0.0384644
951	1	4	2050	male	0.00145436
952	5	9	2050	male	0.000269509
953	10	14	2050	male	0.000273718
954	15	19	2050	male	0.000401702
955	20	24	2050	male	0.000588276
956	25	29	2050	male	0.000721365
957	30	34	2050	male	0.00112482
958	35	39	2050	male	0.0016822
959	40	44	2050	male	0.00247414
960	45	49	2050	male	0.00327783
961	50	54	2050	male	0.00531927
962	55	59	2050	male	0.00825882
963	60	64	2050	male	0.0125598
964	65	69	2050	male	0.0198905
965	70	74	2050	male	0.0350867
966	75	79	2050	male	0.0655671
967	80	84	2050	male	0.119287
968	85	99	2050	male	0.246527
969	0	0	2055	male	0.0352485
970	1	4	2055	male	0.00123988
971	5	9	2055	male	0.000230171
972	10	14	2055	male	0.000241109
973	15	19	2055	male	0.000352789
974	20	24	2055	male	0.000512279
975	25	29	2055	male	0.000632368
976	30	34	2055	male	0.000991701
977	35	39	2055	male	0.00145756
978	40	44	2055	male	0.0021878
979	45	49	2055	male	0.00295294
980	50	54	2055	male	0.00488622
981	55	59	2055	male	0.00766907
982	60	64	2055	male	0.0116925
983	65	69	2055	male	0.0185976
984	70	74	2055	male	0.033015
985	75	79	2055	male	0.0622982
986	80	84	2055	male	0.114303
987	85	99	2055	male	0.240083
988	0	0	2060	male	0.0324478
989	1	4	2060	male	0.00106467
990	5	9	2060	male	0.000197993
991	10	14	2060	male	0.000213994
992	15	19	2060	male	0.000312944
993	20	24	2060	male	0.00045137
994	25	29	2060	male	0.000557203
995	30	34	2060	male	0.000884415
996	35	39	2060	male	0.00129925
997	40	44	2060	male	0.00193845
998	45	49	2060	male	0.00267893
999	50	54	2060	male	0.00449784
1000	55	59	2060	male	0.00714205
1001	60	64	2060	male	0.010936
1002	65	69	2060	male	0.0174736
1003	70	74	2060	male	0.0312144
1004	75	79	2060	male	0.0593617
1005	80	84	2060	male	0.109641
1006	85	99	2060	male	0.233998
1007	0	0	2065	male	0.0304695
1008	1	4	2065	male	0.000991721
1009	5	9	2065	male	0.000183681
1010	10	14	2065	male	0.00019926
1011	15	19	2065	male	0.000291181
1012	20	24	2065	male	0.000418976
1013	25	29	2065	male	0.000514304
1014	30	34	2065	male	0.000813348
1015	35	39	2065	male	0.00119123
1016	40	44	2065	male	0.00178314
1017	45	49	2065	male	0.00247281
1018	50	54	2065	male	0.00418539
1019	55	59	2065	male	0.00668211
1020	60	64	2065	male	0.0102732
1021	65	69	2065	male	0.0164917
1022	70	74	2065	male	0.0295608
1023	75	79	2065	male	0.0564524
1024	80	84	2065	male	0.104654
1025	85	99	2065	male	0.227059
1026	0	0	2070	male	0.0286268
1027	1	4	2070	male	0.00092519
1028	5	9	2070	male	0.000171472
1029	10	14	2070	male	0.000186488
1030	15	19	2070	male	0.00027134
1031	20	24	2070	male	0.000389876
1032	25	29	2070	male	0.000477204
1033	30	34	2070	male	0.000752382
1034	35	39	2070	male	0.00109352
1035	40	44	2070	male	0.00164725
1036	45	49	2070	male	0.00230594
1037	50	54	2070	male	0.00389795
1038	55	59	2070	male	0.00625534
1039	60	64	2070	male	0.00964629
1040	65	69	2070	male	0.0155695
1041	70	74	2070	male	0.0280312
1042	75	79	2070	male	0.0537189
1043	80	84	2070	male	0.100025
1044	85	99	2070	male	0.220584
1045	0	0	2075	male	0.0268678
1046	1	4	2075	male	0.000865708
1047	5	9	2075	male	0.000159967
1048	10	14	2075	male	0.00017445
1049	15	19	2075	male	0.000253198
1050	20	24	2075	male	0.000362041
1051	25	29	2075	male	0.000442128
1052	30	34	2075	male	0.000696706
1053	35	39	2075	male	0.00100655
1054	40	44	2075	male	0.00152041
1055	45	49	2075	male	0.00215305
1056	50	54	2075	male	0.0036501
1057	55	59	2075	male	0.00585241
1058	60	64	2075	male	0.00905238
1059	65	69	2075	male	0.0146899
1060	70	74	2075	male	0.026579
1061	75	79	2075	male	0.0511675
1062	80	84	2075	male	0.0957065
1063	85	99	2075	male	0.214513
1064	0	0	2080	male	0.0252008
1065	1	4	2080	male	0.00080731
1066	5	9	2080	male	0.000149053
1067	10	14	2080	male	0.000163037
1068	15	19	2080	male	0.000236119
1069	20	24	2080	male	0.000336503
1070	25	29	2080	male	0.00040891
1071	30	34	2080	male	0.000644401
1072	35	39	2080	male	0.000927141
1073	40	44	2080	male	0.00140561
1074	45	49	2080	male	0.00200855
1075	50	54	2080	male	0.00341891
1076	55	59	2080	male	0.00549363
1077	60	64	2080	male	0.00848589
1078	65	69	2080	male	0.0138482
1079	70	74	2080	male	0.0251915
1080	75	79	2080	male	0.0487319
1081	80	84	2080	male	0.0915963
1082	85	99	2080	male	0.208666
1083	0	0	2085	male	0.0236242
1084	1	4	2085	male	0.000749001
1085	5	9	2085	male	0.000138658
1086	10	14	2085	male	0.000152156
1087	15	19	2085	male	0.000219949
1088	20	24	2085	male	0.000312527
1089	25	29	2085	male	0.000378351
1090	30	34	2085	male	0.000595274
1091	35	39	2085	male	0.000853211
1092	40	44	2085	male	0.00129968
1093	45	49	2085	male	0.00187377
1094	50	54	2085	male	0.00319843
1095	55	59	2085	male	0.00515439
1096	60	64	2085	male	0.00796934
1097	65	69	2085	male	0.0130388
1098	70	74	2085	male	0.0238529
1099	75	79	2085	male	0.046397
1100	80	84	2085	male	0.0875733
1101	85	99	2085	male	0.202636
1102	0	0	2090	male	0.0220811
1103	1	4	2090	male	0.000697224
1104	5	9	2090	male	0.000128651
1105	10	14	2090	male	0.000141665
1106	15	19	2090	male	0.000204421
1107	20	24	2090	male	0.000289779
1108	25	29	2090	male	0.000349475
1109	30	34	2090	male	0.000549704
1110	35	39	2090	male	0.000783826
1111	40	44	2090	male	0.00119986
1112	45	49	2090	male	0.001746
1113	50	54	2090	male	0.00298936
1114	55	59	2090	male	0.00482725
1115	60	64	2090	male	0.0074738
1116	65	69	2090	male	0.0122839
1117	70	74	2090	male	0.0225525
1118	75	79	2090	male	0.0441093
1119	80	84	2090	male	0.0837726
1120	85	99	2090	male	0.196936
1121	0	0	2095	male	0.0206188
1122	1	4	2095	male	0.00063996
1123	5	9	2095	male	0.000118996
1124	10	14	2095	male	0.000131537
1125	15	19	2095	male	0.000189504
1126	20	24	2095	male	0.000268071
1127	25	29	2095	male	0.000322167
1128	30	34	2095	male	0.000506716
1129	35	39	2095	male	0.000719838
1130	40	44	2095	male	0.00110559
1131	45	49	2095	male	0.00162362
1132	50	54	2095	male	0.00278943
1133	55	59	2095	male	0.00451444
1134	60	64	2095	male	0.00699416
1135	65	69	2095	male	0.0115558
1136	70	74	2095	male	0.0213239
1137	75	79	2095	male	0.0418929
1138	80	84	2095	male	0.0800135
1139	85	99	2095	male	0.191523

DELETInterpolated Pop Structure

	age_from	age_to	year	gender	value
0	0	0	1885	male	20870
1	0	0	1886	male	20919
2	1	1	1886	male	19990
3	0	0	1887	male	20974
4	1	1	1887	male	20037
5	2	2	1887	male	19281
6	0	0	1888	male	21030
7	1	1	1888	male	20089
8	2	2	1888	male	19326
9	3	3	1888	male	18719
10	0	0	1889	male	21087
11	1	1	1889	male	20143
12	2	2	1889	male	19377
13	3	3	1889	male	18762
14	4	4	1889	male	18279
15	0	0	1890	male	21150
16	1	1	1890	male	20198
17	2	2	1890	male	19429
18	3	3	1890	male	18811
19	4	4	1890	male	18322
20	5	5	1890	male	17941
21	0	0	1891	male	21248
22	1	1	1891	male	20258
23	2	2	1891	male	19482
24	3	3	1891	male	18862
25	4	4	1891	male	18370
26	5	5	1891	male	17983
27	6	6	1891	male	17685
28	0	0	1892	male	21399
29	1	1	1892	male	20352
30	2	2	1892	male	19540
31	3	3	1892	male	18913
32	4	4	1892	male	18419
33	5	5	1892	male	18030
34	6	6	1892	male	17726
35	7	7	1892	male	17490
36	0	0	1893	male	21478
37	1	1	1893	male	20497
38	2	2	1893	male	19630
39	3	3	1893	male	18970
40	4	4	1893	male	18469
41	5	5	1893	male	18079
42	6	6	1893	male	17772
43	7	7	1893	male	17530
44	8	8	1893	male	17337
45	0	0	1894	male	21452
46	1	1	1894	male	20573
47	2	2	1894	male	19770
48	3	3	1894	male	19057
49	4	4	1894	male	18524
50	5	5	1894	male	18128
51	6	6	1894	male	17820
52	7	7	1894	male	17576
53	8	8	1894	male	17377
54	9	9	1894	male	17207
55	0	0	1895	male	21387
56	1	1	1895	male	20547
57	2	2	1895	male	19843
58	3	3	1895	male	19193
59	4	4	1895	male	18610
60	5	5	1895	male	18182
61	6	6	1895	male	17869
62	7	7	1895	male	17624
63	8	8	1895	male	17423
64	9	9	1895	male	17247
65	10	10	1895	male	17084
66	0	0	1896	male	21334
67	1	1	1896	male	20486
68	2	2	1896	male	19819
69	3	3	1896	male	19264
70	4	4	1896	male	18742
71	5	5	1896	male	18266
72	6	6	1896	male	17922
73	7	7	1896	male	17672
74	8	8	1896	male	17469
75	9	9	1896	male	17293
76	10	10	1896	male	17123
77	11	11	1896	male	16950
78	0	0	1897	male	21231
79	1	1	1897	male	20435
80	2	2	1897	male	19759
81	3	3	1897	male	19240
82	4	4	1897	male	18812
83	5	5	1897	male	18396
84	6	6	1897	male	18005
85	7	7	1897	male	17725
86	8	8	1897	male	17517
87	9	9	1897	male	17339
88	10	10	1897	male	17168
89	11	11	1897	male	16989
90	12	12	1897	male	16788
91	0	0	1898	male	21378
92	1	1	1898	male	20336
93	2	2	1898	male	19710
94	3	3	1898	male	19182
95	4	4	1898	male	18789
96	5	5	1898	male	18464
97	6	6	1898	male	18133
98	7	7	1898	male	17806
99	8	8	1898	male	17569
100	9	9	1898	male	17386
101	10	10	1898	male	17214
102	11	11	1898	male	17034
103	12	12	1898	male	16827
104	13	13	1898	male	16600
105	0	0	1899	male	21883
106	1	1	1899	male	20477
107	2	2	1899	male	19615
108	3	3	1899	male	19135
109	4	4	1899	male	18732
110	5	5	1899	male	18441
111	6	6	1899	male	18200
112	7	7	1899	male	17933
113	8	8	1899	male	17650
114	9	9	1899	male	17438
115	10	10	1899	male	17261
116	11	11	1899	male	17079
117	12	12	1899	male	16871
118	13	13	1899	male	16638
119	14	14	1899	male	16397
120	0	0	1900	male	22562
121	1	1	1900	male	20960
122	2	2	1900	male	19751
123	3	3	1900	male	19043
124	4	4	1900	male	18686
125	5	5	1900	male	18386
126	6	6	1900	male	18178
127	7	7	1900	male	18000
128	8	8	1900	male	17776
129	9	9	1900	male	17519
130	10	10	1900	male	17313
131	11	11	1900	male	17126
132	12	12	1900	male	16916
133	13	13	1900	male	16682
134	14	14	1900	male	16435
135	15	15	1900	male	16187
136	0	0	1901	male	23212
137	1	1	1901	male	21611
138	2	2	1901	male	20217
139	3	3	1901	male	19174
140	4	4	1901	male	18596
141	5	5	1901	male	18340
142	6	6	1901	male	18123
143	7	7	1901	male	17977
144	8	8	1901	male	17842
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2000	47	47	1947	male	9028
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2003	50	50	1947	male	7867
2004	51	51	1947	male	7695
2005	52	52	1947	male	7503
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2007	54	54	1947	male	7104
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2015	62	62	1947	male	5073
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3979	16	16	1968	male	45697
3980	17	17	1968	male	45344
3981	18	18	1968	male	44999
3982	19	19	1968	male	44803
3983	20	20	1968	male	44058
3984	21	21	1968	male	42402
3985	22	22	1968	male	40166
3986	23	23	1968	male	38056
3987	24	24	1968	male	35944
3988	25	25	1968	male	33965
3989	26	26	1968	male	32261
3990	27	27	1968	male	30754
3991	28	28	1968	male	29212
3992	29	29	1968	male	27667
3993	30	30	1968	male	26279
3994	31	31	1968	male	25101
3995	32	32	1968	male	24080
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3998	35	35	1968	male	21326
3999	36	36	1968	male	20443
4000	37	37	1968	male	19575
4001	38	38	1968	male	18779
4002	39	39	1968	male	18052
4003	40	40	1968	male	17347
4004	41	41	1968	male	16651
4005	42	42	1968	male	15983
4006	43	43	1968	male	15339
4007	44	44	1968	male	14676
4008	45	45	1968	male	14210
4009	46	46	1968	male	14037
4010	47	47	1968	male	14031
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4012	49	49	1968	male	14032
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4016	53	53	1968	male	11083
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4018	55	55	1968	male	9262
4019	56	56	1968	male	8569
4020	57	57	1968	male	8003
4021	58	58	1968	male	7413
4022	59	59	1968	male	6804
4023	60	60	1968	male	6345
4024	61	61	1968	male	6099
4025	62	62	1968	male	5989
4026	63	63	1968	male	5885
4027	64	64	1968	male	5826
4028	65	65	1968	male	5657
4029	66	66	1968	male	5290
4030	67	67	1968	male	4802
4031	68	68	1968	male	4352
4032	69	69	1968	male	3909
4033	70	70	1968	male	3506
4034	71	71	1968	male	3178
4035	72	72	1968	male	2900
4036	73	73	1968	male	2618
4037	74	74	1968	male	2344
4038	75	75	1968	male	2076
4039	76	76	1968	male	1810
4040	77	77	1968	male	1552
4041	78	78	1968	male	1312
4042	79	79	1968	male	1087
4043	80	80	1968	male	926
4044	81	81	1968	male	758
4045	82	82	1968	male	594
4046	83	83	1968	male	476
4047	84	84	1968	male	362
4048	85	85	1968	male	262
4049	86	86	1968	male	194
4050	87	87	1968	male	136
4051	88	88	1968	male	94
4052	89	89	1968	male	57
4053	90	90	1968	male	25
4054	91	91	1968	male	17
4055	92	92	1968	male	10
4056	93	93	1968	male	6
4057	94	94	1968	male	2
4058	95	95	1968	male	0
4059	96	96	1968	male	0
4060	97	97	1968	male	0
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4062	99	99	1968	male	0
4063	100	120	1968	male	0
4064	0	0	1969	male	97211
4065	1	1	1969	male	90610
4066	2	2	1969	male	84724
4067	3	3	1969	male	79501
4068	4	4	1969	male	75637
4069	5	5	1969	male	71593
4070	6	6	1969	male	68033
4071	7	7	1969	male	64901
4072	8	8	1969	male	62143
4073	9	9	1969	male	59768
4074	10	10	1969	male	57786
4075	11	11	1969	male	55814
4076	12	12	1969	male	53668
4077	13	13	1969	male	51486
4078	14	14	1969	male	49514
4079	15	15	1969	male	47606
4080	16	16	1969	male	46163
4081	17	17	1969	male	45380
4082	18	18	1969	male	44992
4083	19	19	1969	male	44593
4084	20	20	1969	male	44329
4085	21	21	1969	male	43532
4086	22	22	1969	male	41848
4087	23	23	1969	male	39602
4088	24	24	1969	male	37482
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4090	26	26	1969	male	33383
4091	27	27	1969	male	31693
4092	28	28	1969	male	30210
4093	29	29	1969	male	28693
4094	30	30	1969	male	27178
4095	31	31	1969	male	25818
4096	32	32	1969	male	24661
4097	33	33	1969	male	23656
4098	34	34	1969	male	22702
4099	35	35	1969	male	21819
4100	36	36	1969	male	20960
4101	37	37	1969	male	20092
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4110	46	46	1969	male	13951
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4112	48	48	1969	male	13766
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4116	52	52	1969	male	12783
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4119	55	55	1969	male	9895
4120	56	56	1969	male	9039
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4124	60	60	1969	male	6607
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4127	63	63	1969	male	5765
4128	64	64	1969	male	5644
4129	65	65	1969	male	5568
4130	66	66	1969	male	5386
4131	67	67	1969	male	5016
4132	68	68	1969	male	4529
4133	69	69	1969	male	4081
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4135	71	71	1969	male	3240
4136	72	72	1969	male	2911
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4138	74	74	1969	male	2352
4139	75	75	1969	male	2080
4140	76	76	1969	male	1819
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4150	86	86	1969	male	182
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4152	88	88	1969	male	80
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4164	100	120	1969	male	0
4165	0	0	1970	male	100536
4166	1	1	1970	male	93653
4167	2	2	1970	male	87544
4168	3	3	1970	male	82149
4169	4	4	1970	male	77404
4170	5	5	1970	male	73249
4171	6	6	1970	male	69621
4172	7	7	1970	male	66458
4173	8	8	1970	male	63698
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4176	11	11	1970	male	57541
4177	12	12	1970	male	55772
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4180	15	15	1970	male	49445
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4183	18	18	1970	male	45111
4184	19	19	1970	male	44687
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4187	22	22	1970	male	43050
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4200	35	35	1970	male	22320
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4202	37	37	1970	male	20614
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4210	45	45	1970	male	14808
4211	46	46	1970	male	14162
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4215	50	50	1970	male	13478
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4218	53	53	1970	male	12527
4219	54	54	1970	male	11538
4220	55	55	1970	male	10607
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4224	59	59	1970	male	7592
4225	60	60	1970	male	7014
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4230	65	65	1970	male	5409
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4240	75	75	1970	male	2087
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4270	4	4	1971	male	80557
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4280	14	14	1971	male	53156
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4300	34	34	1971	male	23813
4301	35	35	1971	male	22840
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4309	43	43	1971	male	16435
4310	44	44	1971	male	15766
4311	45	45	1971	male	15123
4312	46	46	1971	male	14503
4313	47	47	1971	male	13863
4314	48	48	1971	male	13409
4315	49	49	1971	male	13230
4316	50	50	1971	male	13208
4317	51	51	1971	male	13165
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4319	53	53	1971	male	12912
4320	54	54	1971	male	12211
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4325	59	59	1971	male	7874
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4330	64	64	1971	male	5420
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4332	66	66	1971	male	5111
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4350	84	84	1971	male	361
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4380	13	13	1972	male	56779
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4400	33	33	1972	male	25822
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4410	43	43	1972	male	16812
4411	44	44	1972	male	16144
4412	45	45	1972	male	15481
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4414	47	47	1972	male	14228
4415	48	48	1972	male	13592
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4420	53	53	1972	male	12881
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4424	57	57	1972	male	10036
4425	58	58	1972	male	9118
4426	59	59	1972	male	8285
4427	60	60	1972	male	7617
4428	61	61	1972	male	7068
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4430	63	63	1972	male	5910
4431	64	64	1972	male	5448
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4434	67	67	1972	male	4823
4435	68	68	1972	male	4702
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4449	82	82	1972	male	671
4450	83	83	1972	male	530
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4460	93	93	1972	male	9
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4467	100	120	1972	male	0
4468	0	0	1973	male	109193
4469	1	1	1973	male	102043
4470	2	2	1973	male	95670
4471	3	3	1973	male	91757
4472	4	4	1973	male	86543
4473	5	5	1973	male	81918
4474	6	6	1973	male	77820
4475	7	7	1973	male	74188
4476	8	8	1973	male	70991
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4478	10	10	1973	male	65595
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4480	12	12	1973	male	60605
4481	13	13	1973	male	58436
4482	14	14	1973	male	56542
4483	15	15	1973	male	54575
4484	16	16	1973	male	52388
4485	17	17	1973	male	50124
4486	18	18	1973	male	47995
4487	19	19	1973	male	45866
4488	20	20	1973	male	44225
4489	21	21	1973	male	43308
4490	22	22	1973	male	42831
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4492	24	24	1973	male	41938
4493	25	25	1973	male	41077
4494	26	26	1973	male	39412
4495	27	27	1973	male	37244
4496	28	28	1973	male	35204
4497	29	29	1973	male	33174
4498	30	30	1973	male	31290
4499	31	31	1973	male	29687
4500	32	32	1973	male	28284
4501	33	33	1973	male	26859
4502	34	34	1973	male	25441
4503	35	35	1973	male	24168
4504	36	36	1973	male	23081
4505	37	37	1973	male	22134
4506	38	38	1973	male	21237
4507	39	39	1973	male	20408
4508	40	40	1973	male	19599
4509	41	41	1973	male	18779
4510	42	42	1973	male	17967
4511	43	43	1973	male	17223
4512	44	44	1973	male	16541
4513	45	45	1973	male	15878
4514	46	46	1973	male	15220
4515	47	47	1973	male	14587
4516	48	48	1973	male	13975
4517	49	49	1973	male	13343
4518	50	50	1973	male	12891
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4520	52	52	1973	male	12669
4521	53	53	1973	male	12614
4522	54	54	1973	male	12608
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4524	56	56	1973	male	11646
4525	57	57	1973	male	10684
4526	58	58	1973	male	9777
4527	59	59	1973	male	8865
4528	60	60	1973	male	8037
4529	61	61	1973	male	7372
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4550	82	82	1973	male	577
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4568	100	120	1973	male	0
4569	0	0	1974	male	112591
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5075	1	1	1979	male	124287
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5077	3	3	1979	male	109931
5078	4	4	1979	male	104842
5079	5	5	1979	male	99542
5080	6	6	1979	male	94836
5081	7	7	1979	male	90650
5082	8	8	1979	male	86912
5083	9	9	1979	male	83605
5084	10	10	1979	male	80711
5085	11	11	1979	male	77878
5086	12	12	1979	male	74922
5087	13	13	1979	male	71937
5088	14	14	1979	male	69202
5089	15	15	1979	male	66663
5090	16	16	1979	male	64155
5091	17	17	1979	male	61625
5092	18	18	1979	male	59110
5093	19	19	1979	male	56732
5094	20	20	1979	male	54504
5095	21	21	1979	male	52257
5096	22	22	1979	male	49930
5097	23	23	1979	male	47616
5098	24	24	1979	male	45390
5099	25	25	1979	male	43143
5100	26	26	1979	male	41419
5101	27	27	1979	male	40467
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5106	32	32	1979	male	36741
5107	33	33	1979	male	34683
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5110	36	36	1979	male	29086
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5112	38	38	1979	male	26243
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5119	45	45	1979	male	18774
5120	46	46	1979	male	17999
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5136	62	62	1979	male	9846
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5159	85	85	1979	male	294
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5166	92	92	1979	male	33
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5171	97	97	1979	male	2
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5174	100	120	1979	male	0
5175	0	0	1980	male	136754
5176	1	1	1980	male	128097
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5178	3	3	1980	male	113491
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5190	15	15	1980	male	69034
5191	16	16	1980	male	66422
5192	17	17	1980	male	63849
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5210	35	35	1980	male	32391
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5212	37	37	1980	male	28750
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5225	50	50	1980	male	15448
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5230	55	55	1980	male	12276
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5260	85	85	1980	male	290
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5264	89	89	1980	male	54
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5276	0	0	1981	male	139187
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5280	4	4	1981	male	111288
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5294	18	18	1981	male	62958
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5299	23	23	1981	male	50975
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5311	35	35	1981	male	33700
5312	36	36	1981	male	31816
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5314	38	38	1981	male	28217
5315	39	39	1981	male	26737
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5317	41	41	1981	male	24119
5318	42	42	1981	male	22808
5319	43	43	1981	male	21629
5320	44	44	1981	male	20618
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5339	63	63	1981	male	9768
5340	64	64	1981	male	9078
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5347	71	71	1981	male	4023
5348	72	72	1981	male	3508
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5350	74	74	1981	male	2735
5351	75	75	1981	male	2471
5352	76	76	1981	male	2232
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5354	78	78	1981	male	1814
5355	79	79	1981	male	1544
5356	80	80	1981	male	1226
5357	81	81	1981	male	999
5358	82	82	1981	male	746
5359	83	83	1981	male	565
5360	84	84	1981	male	420
5361	85	85	1981	male	288
5362	86	86	1981	male	260
5363	87	87	1981	male	172
5364	88	88	1981	male	138
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5367	91	91	1981	male	49
5368	92	92	1981	male	37
5369	93	93	1981	male	25
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5373	97	97	1981	male	3
5374	98	98	1981	male	2
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5376	100	120	1981	male	0
5377	0	0	1982	male	141177
5378	1	1	1982	male	132966
5379	2	2	1982	male	128671
5380	3	3	1982	male	121432
5381	4	4	1982	male	114935
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5383	6	6	1982	male	103897
5384	7	7	1982	male	99237
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5386	9	9	1982	male	91278
5387	10	10	1982	male	87732
5388	11	11	1982	male	84422
5389	12	12	1982	male	81427
5390	13	13	1982	male	78729
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5392	15	15	1982	male	73111
5393	16	16	1982	male	70137
5394	17	17	1982	male	67343
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5399	22	22	1982	male	54650
5400	23	23	1982	male	52401
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5402	25	25	1982	male	47873
5403	26	26	1982	male	45625
5404	27	27	1982	male	43464
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5410	33	33	1982	male	37415
5411	34	34	1982	male	36634
5412	35	35	1982	male	35106
5413	36	36	1982	male	33111
5414	37	37	1982	male	31248
5415	38	38	1982	male	29403
5416	39	39	1982	male	27691
5417	40	40	1982	male	26231
5418	41	41	1982	male	24953
5419	42	42	1982	male	23655
5420	43	43	1982	male	22364
5421	44	44	1982	male	21201
5422	45	45	1982	male	20203
5423	46	46	1982	male	19327
5424	47	47	1982	male	18495
5425	48	48	1982	male	17723
5426	49	49	1982	male	16965
5427	50	50	1982	male	16193
5428	51	51	1982	male	15423
5429	52	52	1982	male	14710
5430	53	53	1982	male	14047
5431	54	54	1982	male	13403
5432	55	55	1982	male	12768
5433	56	56	1982	male	12155
5434	57	57	1982	male	11559
5435	58	58	1982	male	10949
5436	59	59	1982	male	10470
5437	60	60	1982	male	10184
5438	61	61	1982	male	10007
5439	62	62	1982	male	9819
5440	63	63	1982	male	9673
5441	64	64	1982	male	9320
5442	65	65	1982	male	8636
5443	66	66	1982	male	7744
5444	67	67	1982	male	6898
5445	68	68	1982	male	6049
5446	69	69	1982	male	5287
5447	70	70	1982	male	4683
5448	71	71	1982	male	4192
5449	72	72	1982	male	3690
5450	73	73	1982	male	3194
5451	74	74	1982	male	2774
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5453	76	76	1982	male	2191
5454	77	77	1982	male	1960
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5456	79	79	1982	male	1565
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5458	81	81	1982	male	1034
5459	82	82	1982	male	842
5460	83	83	1982	male	614
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5462	85	85	1982	male	336
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5464	87	87	1982	male	218
5465	88	88	1982	male	136
5466	89	89	1982	male	100
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5468	91	91	1982	male	30
5469	92	92	1982	male	45
5470	93	93	1982	male	31
5471	94	94	1982	male	18
5472	95	95	1982	male	5
5473	96	96	1982	male	4
5474	97	97	1982	male	3
5475	98	98	1982	male	2
5476	99	99	1982	male	1
5477	100	120	1982	male	0
5478	0	0	1983	male	143894
5479	1	1	1983	male	135934
5480	2	2	1983	male	128664
5481	3	3	1983	male	125130
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5483	5	5	1983	male	112649
5484	6	6	1983	male	107326
5485	7	7	1983	male	102528
5486	8	8	1983	male	98216
5487	9	9	1983	male	94349
5488	10	10	1983	male	90745
5489	11	11	1983	male	87290
5490	12	12	1983	male	83993
5491	13	13	1983	male	80975
5492	14	14	1983	male	78213
5493	15	15	1983	male	75435
5494	16	16	1983	male	72520
5495	17	17	1983	male	69551
5496	18	18	1983	male	66738
5497	19	19	1983	male	64041
5498	20	20	1983	male	61415
5499	21	21	1983	male	58856
5500	22	22	1983	male	56372
5501	23	23	1983	male	53995
5502	24	24	1983	male	51750
5503	25	25	1983	male	49518
5504	26	26	1983	male	47254
5505	27	27	1983	male	45031
5506	28	28	1983	male	42898
5507	29	29	1983	male	40753
5508	30	30	1983	male	39108
5509	31	31	1983	male	38193
5510	32	32	1983	male	37731
5511	33	33	1983	male	37254
5512	34	34	1983	male	36909
5513	35	35	1983	male	36134
5514	36	36	1983	male	34617
5515	37	37	1983	male	32639
5516	38	38	1983	male	30791
5517	39	39	1983	male	28960
5518	40	40	1983	male	27263
5519	41	41	1983	male	25820
5520	42	42	1983	male	24557
5521	43	43	1983	male	23274
5522	44	44	1983	male	21999
5523	45	45	1983	male	20849
5524	46	46	1983	male	19859
5525	47	47	1983	male	18989
5526	48	48	1983	male	18163
5527	49	49	1983	male	17395
5528	50	50	1983	male	16641
5529	51	51	1983	male	15873
5530	52	52	1983	male	15107
5531	53	53	1983	male	14397
5532	54	54	1983	male	13735
5533	55	55	1983	male	13091
5534	56	56	1983	male	12457
5535	57	57	1983	male	11843
5536	58	58	1983	male	11245
5537	59	59	1983	male	10635
5538	60	60	1983	male	10150
5539	61	61	1983	male	9847
5540	62	62	1983	male	9649
5541	63	63	1983	male	9440
5542	64	64	1983	male	9273
5543	65	65	1983	male	8908
5544	66	66	1983	male	8227
5545	67	67	1983	male	7348
5546	68	68	1983	male	6514
5547	69	69	1983	male	5679
5548	70	70	1983	male	4931
5549	71	71	1983	male	4339
5550	72	72	1983	male	3860
5551	73	73	1983	male	3373
5552	74	74	1983	male	2894
5553	75	75	1983	male	2488
5554	76	76	1983	male	2171
5555	77	77	1983	male	1921
5556	78	78	1983	male	1698
5557	79	79	1983	male	1514
5558	80	80	1983	male	1359
5559	81	81	1983	male	1105
5560	82	82	1983	male	850
5561	83	83	1983	male	685
5562	84	84	1983	male	483
5563	85	85	1983	male	353
5564	86	86	1983	male	269
5565	87	87	1983	male	185
5566	88	88	1983	male	162
5567	89	89	1983	male	90
5568	90	90	1983	male	51
5569	91	91	1983	male	31
5570	92	92	1983	male	23
5571	93	93	1983	male	33
5572	94	94	1983	male	19
5573	95	95	1983	male	5
5574	96	96	1983	male	5
5575	97	97	1983	male	3
5576	98	98	1983	male	3
5577	99	99	1983	male	1
5578	100	120	1983	male	0
5579	0	0	1984	male	148874
5580	1	1	1984	male	140821
5581	2	2	1984	male	133445
5582	3	3	1984	male	126697
5583	4	4	1984	male	122498
5584	5	5	1984	male	116556
5585	6	6	1984	male	111184
5586	7	7	1984	male	106321
5587	8	8	1984	male	101906
5588	9	9	1984	male	97911
5589	10	10	1984	male	94307
5590	11	11	1984	male	90873
5591	12	12	1984	male	87484
5592	13	13	1984	male	84176
5593	14	14	1984	male	81113
5594	15	15	1984	male	78266
5595	16	16	1984	male	75412
5596	17	17	1984	male	72458
5597	18	18	1984	male	69472
5598	19	19	1984	male	66619
5599	20	20	1984	male	63869
5600	21	21	1984	male	61199
5601	22	22	1984	male	58617
5602	23	23	1984	male	56122
5603	24	24	1984	male	53732
5604	25	25	1984	male	51476
5605	26	26	1984	male	49239
5606	27	27	1984	male	46978
5607	28	28	1984	male	44766
5608	29	29	1984	male	42643
5609	30	30	1984	male	40513
5610	31	31	1984	male	38878
5611	32	32	1984	male	37964
5612	33	33	1984	male	37497
5613	34	34	1984	male	37019
5614	35	35	1984	male	36672
5615	36	36	1984	male	35896
5616	37	37	1984	male	34381
5617	38	38	1984	male	32404
5618	39	39	1984	male	30558
5619	40	40	1984	male	28728
5620	41	41	1984	male	27034
5621	42	42	1984	male	25596
5622	43	43	1984	male	24340
5623	44	44	1984	male	23063
5624	45	45	1984	male	21794
5625	46	46	1984	male	20649
5626	47	47	1984	male	19661
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6716	26	26	1995	male	74318
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34596	6	6	2099	female	500084
34597	7	7	2099	female	501070
34598	8	8	2099	female	502064
34599	9	9	2099	female	503046
34600	10	10	2099	female	503994
34601	11	11	2099	female	504971
34602	12	12	2099	female	505998
34603	13	13	2099	female	507025
34604	14	14	2099	female	507986
34605	15	15	2099	female	508898
34606	16	16	2099	female	509633
34607	17	17	2099	female	510124
34608	18	18	2099	female	510421
34609	19	19	2099	female	510643
34610	20	20	2099	female	510763
34611	21	21	2099	female	510780
34612	22	22	2099	female	510706
34613	23	23	2099	female	510530
34614	24	24	2099	female	510228
34615	25	25	2099	female	509797
34616	26	26	2099	female	509267
34617	27	27	2099	female	508646
34618	28	28	2099	female	507919
34619	29	29	2099	female	507057
34620	30	30	2099	female	506063
34621	31	31	2099	female	504912
34622	32	32	2099	female	503586
34623	33	33	2099	female	502095
34624	34	34	2099	female	500466
34625	35	35	2099	female	498697
34626	36	36	2099	female	496764
34627	37	37	2099	female	494657
34628	38	38	2099	female	492386
34629	39	39	2099	female	489968
34630	40	40	2099	female	487394
34631	41	41	2099	female	484692
34632	42	42	2099	female	481872
34633	43	43	2099	female	478923
34634	44	44	2099	female	475826
34635	45	45	2099	female	472596
34636	46	46	2099	female	469176
34637	47	47	2099	female	465542
34638	48	48	2099	female	461724
34639	49	49	2099	female	457771
34640	50	50	2099	female	453661
34641	51	51	2099	female	449484
34642	52	52	2099	female	445286
34643	53	53	2099	female	441019
34644	54	54	2099	female	436587
34645	55	55	2099	female	432005
34646	56	56	2099	female	427253
34647	57	57	2099	female	422309
34648	58	58	2099	female	417181
34649	59	59	2099	female	411873
34650	60	60	2099	female	406353
34651	61	61	2099	female	400715
34652	62	62	2099	female	394995
34653	63	63	2099	female	389127
34654	64	64	2099	female	382963
34655	65	65	2099	female	376476
34656	66	66	2099	female	369773
34657	67	67	2099	female	362876
34658	68	68	2099	female	355691
34659	69	69	2099	female	348092
34660	70	70	2099	female	340085
34661	71	71	2099	female	331490
34662	72	72	2099	female	322196
34663	73	73	2099	female	312252
34664	74	74	2099	female	301849
34665	75	75	2099	female	290997
34666	76	76	2099	female	279377
34667	77	77	2099	female	266867
34668	78	78	2099	female	253613
34669	79	79	2099	female	240062
34670	80	80	2099	female	226340
34671	81	81	2099	female	211726
34672	82	82	2099	female	195975
34673	83	83	2099	female	179550
34674	84	84	2099	female	163225
34675	85	85	2099	female	146933
34676	86	86	2099	female	131247
34677	87	87	2099	female	116559
34678	88	88	2099	female	102727
34679	89	89	2099	female	88242
34680	90	90	2099	female	77018
34681	91	91	2099	female	67010
34682	92	92	2099	female	54308
34683	93	93	2099	female	39055
34684	94	94	2099	female	28200
34685	95	95	2099	female	23410
34686	96	96	2099	female	19192
34687	97	97	2099	female	14181
34688	98	98	2099	female	8380
34689	99	99	2099	female	4729
34690	100	120	2099	female	7070
34691	0	0	2100	female	491981
34692	1	1	2100	female	493098
34693	2	2	2100	female	494214
34694	3	3	2100	female	495328
34695	4	4	2100	female	496435
34696	5	5	2100	female	497534
34697	6	6	2100	female	498623
34698	7	7	2100	female	499699
34699	8	8	2100	female	500759
34700	9	9	2100	female	501801
34701	10	10	2100	female	502805
34702	11	11	2100	female	503752
34703	12	12	2100	female	504725
34704	13	13	2100	female	505757
34705	14	14	2100	female	506793
34706	15	15	2100	female	507750
34707	16	16	2100	female	508648
34708	17	17	2100	female	509369
34709	18	18	2100	female	509849
34710	19	19	2100	female	510136
34711	20	20	2100	female	510344
34712	21	21	2100	female	510450
34713	22	22	2100	female	510454
34714	23	23	2100	female	510367
34715	24	24	2100	female	510181
34716	25	25	2100	female	509868
34717	26	26	2100	female	509426
34718	27	27	2100	female	508886
34719	28	28	2100	female	508258
34720	29	29	2100	female	507525
34721	30	30	2100	female	506657
34722	31	31	2100	female	505658
34723	32	32	2100	female	504502
34724	33	33	2100	female	503172
34725	34	34	2100	female	501675
34726	35	35	2100	female	500042
34727	36	36	2100	female	498269
34728	37	37	2100	female	496328
34729	38	38	2100	female	494212
34730	39	39	2100	female	491929
34731	40	40	2100	female	489498
34732	41	41	2100	female	486911
34733	42	42	2100	female	484195
34734	43	43	2100	female	481366
34735	44	44	2100	female	478407
34736	45	45	2100	female	475299
34737	46	46	2100	female	472056
34738	47	47	2100	female	468620
34739	48	48	2100	female	464966
34740	49	49	2100	female	461125
34741	50	50	2100	female	457147
34742	51	51	2100	female	453009
34743	52	52	2100	female	448802
34744	53	53	2100	female	444571
34745	54	54	2100	female	440269
34746	55	55	2100	female	435797
34747	56	56	2100	female	431167
34748	57	57	2100	female	426368
34749	58	58	2100	female	421381
34750	59	59	2100	female	416208
34751	60	60	2100	female	410844
34752	61	61	2100	female	405255
34753	62	62	2100	female	399539
34754	63	63	2100	female	393733
34755	64	64	2100	female	387765
34756	65	65	2100	female	381481
34757	66	66	2100	female	374854
34758	67	67	2100	female	367984
34759	68	68	2100	female	360890
34760	69	69	2100	female	353477
34761	70	70	2100	female	345623
34762	71	71	2100	female	337333
34763	72	72	2100	female	328413
34764	73	73	2100	female	318744
34765	74	74	2100	female	308379
34766	75	75	2100	female	297537
34767	76	76	2100	female	286232
34768	77	77	2100	female	274095
34769	78	78	2100	female	260983
34770	79	79	2100	female	247072
34771	80	80	2100	female	232880
34772	81	81	2100	female	218538
34773	82	82	2100	female	203295
34774	83	83	2100	female	186906
34775	84	84	2100	female	169861
34776	85	85	2100	female	152985
34777	86	86	2100	female	136216
34778	87	87	2100	female	120148
34779	88	88	2100	female	105194
34780	89	89	2100	female	91223
34781	90	90	2100	female	76414
34782	91	91	2100	female	65574
34783	92	92	2100	female	56414
34784	93	93	2100	female	44163
34785	94	94	2100	female	28823
34786	95	95	2100	female	19243
34787	96	96	2100	female	16431
34788	97	97	2100	female	13121
34789	98	98	2100	female	9314
34790	99	99	2100	female	5008
34791	100	120	2100	female	7526

DELETE_Prob_NND_days

	day	nnd_proportion	prob_nnd
0	0	0.354	0.009912
1	1	0.092	0.002576
2	2	0.079	0.002212
3	3	0.068	0.001904
4	4	0.058	0.001624
5	5	0.05	0.0014
6	6	0.043	0.001204
7	7	0.037	0.001036
8	8	0.031	0.000868
9	9	0.027	0.000756
10	10	0.023	0.000644
11	11	0.02	0.00056
12	12	0.017	0.000476
13	13	0.014	0.000392
14	14	0.012	0.000336
15	15	0.011	0.000308
16	16	0.009	0.000252
17	17	0.008	0.000224
18	18	0.007	0.000196
19	19	0.006	0.000168
20	20	0.005	0.00014
21	21	0.004	0.000112
22	22	0.004	0.000112
23	23	0.003	8.4e-05
24	24	0.003	8.4e-05
25	25	0.002	5.6e-05
26	26	0.002	5.6e-05
27	27	0.002	5.6e-05

DELETE_irate1_1116_all.csv

	init1s	expos	irate1_year	irate1_quater	irate1_month	irate1hr_age1	irate1hr_age2	irate1_age1	irate1_age2	meth
0	13374	534566	0.300221	0.0750553	0.0250184	12.2147	0.99685055	0.59264439	-1.1393958
1	761	534566	0.017083	0.00427075	0.00142358	1.00776				pill
2	191	534566	0.00428759	0.0010719	0.000357299	0.97922				IUD
3	8249	534566	0.185175	0.0462936	0.0154312	0.964104				injections
4	1986	534566	0.044582	0.0111455	0.00371516	0.961615				implant
5	1255	534566	0.0281724	0.0070431	0.0023477	0.892206				male_condom
6	528	534566	0.0118526	0.00296315	0.000987717	1.12886				female_sterilisation
7	36	534566	0.000808132	0.000202033	6.73443e-05	0.955039				other_modern
8	54	534566	0.0012122	0.00030305	0.000101017	1.00793				periodic_abstinence
9	201	534566	0.00451207	0.00112802	0.000376006	0.992655				withdrawal
10	113	534566	0.00253664	0.000634159	0.000211386	1.05766				other_traditional

DELETE_irate1_all__1116_by age

	init1s	expos	irate1_year	irate1_quater	irate1_month	irate1hr_age1	irate1hr_age2	Unnamed: 7	fracpoly: stcox age_	coefficient	Unnamed: 10	irate1hr_age	irate1hr_age_sq	meth	Unnamed: 14	Unnamed: 15	fracpoly: regress _d age_	coefficient.1
0	13374	534566	0.30022112	0.075055279	0.025018426	12.214696	0.99685055		Iage___1 = X^-2-.120162076	12.214696		1.4009869	0.99443275	All methods			Iage___1 = X^-2-.120162076	0.59264439
1									Iage___2 = X^3-24.00760659	0.99685055							Iage___2 = X^-2*ln(X)-.1273065414	-1.1393958
2									(where: X = age_/10)								_cons	0.3225937
3						_d is initiations (init1) in stset data [recode init1 to 0 & 1 from . & 1 and get same results with fracpoly: regress init1 age_ ]											(where: X = age/10)
4	Age	r_init_age age^2		r_init1_fracpoly		fracpoly: regress _d age_
5	15	244.76217225	6.12356429403588	-16.6066146784662	-0.415471360443722	0.454503591140426
6	16	276.9905744	6.9298681883239	-16.545273584694	-0.413936702828422	0.4187470102471
7	17	311.20784205	7.78593036694761	-16.2756739020395	-0.407191743118307	0.392297491354445
8	18	347.4139752	8.69175082990704	-15.8161387536595	-0.395694897014161	0.372643578325149
9	19	385.60897385	9.64732957720216	-15.1787688408751	-0.379748905016538	0.358017004579094
10	20	425.792838	10.652666608833	-14.371260662494	-0.359546321411318	0.347151709273572
11	21	467.96556765	11.7077619247995	-13.3981337833431	-0.33520021859667	0.339127664599196
12	22	512.1271628	12.8126155251018	-12.2615768854329	-0.306765353951513	0.333267442054397
13	23	558.27762345	13.9672274097397	-10.9620421635552	-0.274253040677785	0.329066361857404
14	24	606.4169496	15.1715975787133	-9.49867011484958	-0.237641775366776	0.326144488148002
15	25	656.54514125	16.4257260320227	-7.86959785874402	-0.196884951678746	0.324213110915318
16	26	708.6621984	17.7296127696677	-6.07218610338633	-0.151916538685799	0.32305100371896
17	27	762.76812105	19.0832577916485	-4.10318839740643	-0.102655315284571	0.322487383933087
18	28	818.8629092	20.4866610979649	-1.95887885011852	-0.0490080655546552	0.322389535706806
19	29	876.94656285	21.9398226886171	0.364850428328748	0.00912798344221108	0.322653720189335
20	30	937.019082	23.4427425636049	2.87241423195042	0.0718632829033985	0.323198431958551
21	31	999.08046665	24.9954207229285	5.56847583904922	0.139314500712041	0.323959349096164
22	32	1063.1307168	26.5978571665878	8.45790116615599	0.211603374440787	0.324885518755908
23	33	1129.16983245	28.2500518945827	11.545722495372	0.288855803867001	0.325936452832421
24	34	1197.1978136	29.9520049069134	14.8371095567821	0.371201127500246	0.327079900139298
25	35	1267.21466025	31.7037162035798	18.3373463095723	0.458771541682408	0.32829012572303
26	36	1339.2203724	33.5051857845819	22.0518121736146	0.551701631031477	0.329546573351739
27	37	1413.21495005	35.3564136499196	25.9859667626531	0.650127986489895	0.330832819658211
28	38	1489.1983932	37.2573997995931	30.1453373918982	0.754188892784238	0.332135751812035
29	39	1567.17070185	39.2081442336023	34.5355087984261	0.864024071245771	0.333444917619042
30	40	1647.131876	41.2086469519472	39.162114637506	0.97977446706196	0.334752009437552
31	41	1729.08191565	43.2589079546278	44.0308304126758	1.10158207239808	0.336050452539505
32	42	1813.0208208	45.3589272416441	49.1473675698062	1.22958977864	0.33733507542865
33	43	1898.94859145	47.5087048129961	54.5174685411802	1.36394125240484	0.338601844793894			This makes sense - higher initiation rates in younger ages, drops off when wanting kids, then picks up again when don’t want kids anymore
34	44	1986.8652276	49.7082406686838	60.1469025688713	1.50478083104852	0.339847651678496
35	45	2076.77072925	51.9575348087072	66.0414621704535	1.65225343424329	0.341070138412677			trying to add age to stcox models and then doing fracpoly on the stcox models doesn’t seem to work!
36	46	2168.6650964	54.2565872330663	72.2069601365782	1.80650448886193	0.342267558126306
37	47	2262.54832905	56.6053979417611	78.6492269708712	1.96767986492795	0.343438660403661
38	48	2358.4204272	59.0039669347916	85.3741086992171	2.13592582080732	0.344582597991976
39	49	2456.28139085	61.4522942121578	92.3874649887501	2.31138895614863	0.345698850524712

DELETE_irate1_individual years

	Unnamed: 0	not_using	pill	IUD	injections	implant	male_condom	female_sterilization	other_modern	periodic_abstinence	withdrawal	other_traditional
0	2005	0.99892116	9.47439e-05	2.5265e-06	0.0007061576	1.64223e-05	9.97969e-05	5.93728e-05	1.26325e-06	5.05301e-06	6.82156e-05	2.5265e-05
1	2006	0.98533392	0.0011668043	4.86169e-05	0.0091399681	0.0002430843	0.0017583094	0.0005266825	3.24112e-05	0.0002998039	0.0010290566	0.000421346
2	2007	0.98375893	0.001124259	2.42646e-05	0.0101992125	0.0001698521	0.0020463129	0.0007036729	8.08819e-05	0.0002183812	0.001132347	0.000541909
3	2008	0.97960591	0.0011901779	8.94871e-06	0.0130293155	0.0002684612	0.0025951248	0.0009485628	8.05384e-05	0.0004295379	0.0012349214	0.000608512
4	2009	0.96365523	0.0020071161	0.0001368488	0.0230134111	0.0006272238	0.0052116592	0.0017904388	0.0002052732	0.0005930116	0.0019500958	0.0008096889
5	2010	0.90385979	0.0062455758	0.0003747345	0.0589582361	0.0024565931	0.0149477459	0.0041637174	0.0004580089	0.0011242037	0.0051213722	0.0022900447
6	2010	0.99957937	2.59205e-05	7.06922e-06	0.0002863034	4.94845e-05	2.23859e-05	2.12077e-05	0	1.1782e-06	3.53461e-06	3.53461e-06
7	2011	0.98540801	0.000893389	0.000134717	0.009543663	0.001878953	0.000928841	0.000772852	0	3.54519e-05	0.000219802	0.00018435
8	2012	0.98299563	0.00088094	0.000281309	0.01117091	0.002324497	0.001095623	0.00082912	7.4e-06	3.70143e-05	0.0002591	0.000118446
9	2013	0.97957802	0.001103439	0.00027586	0.012447127	0.003377192	0.001663518	0.000927892	5.01563e-05	8.35939e-05	0.000351094	0.00014211
10	2014	0.9696483	0.001617358	0.000336074	0.017906467	0.005167145	0.003234716	0.00108174	4.20093e-05	0.00017854	0.000504112	0.000283563
11	2015	0.9170711	0.00513105	0.001594786	0.049669486	0.011764434	0.010123422	0.002149494	0.000554708	0.000392918	0.000970739	0.000577821
12	2016	0.71810091	0.020771513	0	0.148367956	0.005934719	0.091988124	0	0	0	0.008902078	0.005934719
13
14
15	2005-2010	0.99013877	0.0006481194	2.61466e-05	0.006209428	0.0001632184	0.0013120854	0.0004444927	4.27854e-05	0.0001537105	0.0005974108	0.0002638432
16
17	2011-2016	0.99007314	0.0005660312	0.0001424114	0.0061395951	0.0014660425	0.0009209754	0.0003947037	2.60244e-05	3.97595e-05	0.0001474717	8.38565e-05
18	change %	-6.62836382014692e-05	-0.126655983449963	4.44665080737075	-0.0112462693826228	7.98209086720615	-0.298082731505129	-0.112013088178951	-0.391745782439804	-0.741335172288165	-0.753148587203311	-0.682172972432111
19	combined

DELETE_irate1_5years

	Unnamed: 0	not_using	pill	IUD	injections	implant	male_condom	female_sterilization	other_modern	periodic_abstinence	withdrawal	other_traditional	0.0002743	to get irate1_ to sum to 1
0	2005-09	0.99181324	0.0005395386	1.93846e-05	0.0051861932	0.0001195385	0.0010467694	0.0003723462	3.47308e-05	0.0001348846	0.0005088462	0.0002245385
1	2006-10	0.9909426	0.0005791147	2.80461e-05	0.0057017026	0.0001788888	0.0012090157	0.0004032579	4.01742e-05	0.0001455367	0.0005321185	0.0002395291	0.9999999843
2	2007-11	0.99087423	0.000558765	3.74006e-05	0.0057896129	0.0003523136	0.00112875	0.0004308549	3.66526e-05	0.0001204299	0.0004540433	0.0002169235
3	2008-12	0.99073887	0.000538446	6.22996e-05	0.005924392	0.000566629	0.001041293	0.000445739	3.04081e-05	0.000102349	0.000372314	0.000177257
4	2009-13	0.99066955	0.000534581	8.62703e-05	0.005915048	0.000839845	0.000968145	0.000447574	2.72821e-05	7.37353e-05	0.000299365	0.000138622
5	2010-14	0.99093807	0.000515498	0.00010046	0.005652878	0.001155654	0.000853541	0.000405506	1.68655e-05	4.83967e-05	0.000206786	0.000106326
6	2011-15	0.97514361	0.00141138	0.000357525	0.015347351	0.003713763	0.002291152	0.00098834	6.73868e-05	0.00010108	0.000370628	0.000207776
7	2012-16	0.97124738	0.001613604	0.000437071	0.017541274	0.004370707	0.002856206	0.001064725	9.14799e-05	0.000124514	0.000431989	0.000221077
8
9													seems to be an upswing in contraception initiation rates in 2011
10													(also see sheet ‘irate1_individual years’)
11													–> divide into 2005-2010 and 2011-2016?
12													just use 2011-2016 in model? (sheet irate1_)
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38	2005-10	0.99393421	0.0003979415	1.84759e-05	0.003828292	0.0001174875	0.0007930406	0.0002742954	2.5582e-05	9.2853e-05	0.0003586211	0.0001591766	0.9999999756
39	2011-16	0.97498155	0.001423585	0.000357299	0.01543121	0.003715163	0.002347699	0.000987717	6.73444e-05	0.000101017	0.000376006	0.000211386
40
41	2005-16	0.99010444	0.0006048168	8.69424e-05	0.0061729117	0.0008444755	0.0011075708	0.0004184577	3.40209e-05	9.45026e-05	0.0003621341	0.0001697267

DELETE_Initiation1 by age

	regress _d age_ age_sq	Unnamed: 1	Unnamed: 2	fracpoly: regress drate_allmeth age	coefficient	Unnamed: 5	Unnamed: 6	avergae:	0.341963309500377	Unnamed: 9	_d is init1
0	r_init1_age	-0.0087981		Iage__1 = X^-2-.120162076	0.5926444						age_ is exact age in years
1	r_init1_age_sq	0.0001337		Iage__2 = X^-2*ln(X)-.1273065414	-1.139396
2	r_init1_cons	0.4673963		_cons	0.3225937
3				(where: X = age/10)
4
5	Age	r_inti1 age age^2		r_init1_fracpoly	proportion relative change compared to average (use this because want to preserve different rates for each contraception method though have one model for age)
6	15	0.3655073		0.454503583803216	0.329100436146978
7	16	0.3608539		0.418747001694004	0.224537808766123
8	17	0.3564679		0.392297482352662	0.147191735060188
9	18	0.3523493		0.372643569388129	0.0897179873846023
10	19	0.3484981		0.358016996049092	0.0469456403734363
11	20	0.3449143		0.3471517013759	0.0151723642021811
12	21	0.3415979		0.339127657478505	-0.00829226979354981
13	22	0.3385489		0.333267435799318	-0.0254292593955906
14	23	0.3357673		0.329066356517503	-0.0377144349249565
15	24	0.3332531		0.32614448374558	-0.0462588392243273
16	25	0.3310063		0.324213107453702	-0.0519067442428505
17	26	0.3290269		0.323051001188368	-0.0553050803597647
18	27	0.3273149		0.322487382314811	-0.056953265582854
19	28	0.3258703		0.322389534976202	-0.0572393996091966
20	29	0.3246931		0.322653720317971	-0.0564668449683052
21	30	0.3237833		0.323198432915743	-0.0548739471847145
22	31	0.3231409		0.323959350850084	-0.0526488022255882
23	32	0.3227659		0.324885521274369	-0.0499404110077175
24	33	0.3226583		0.325936456083431	-0.046867172505617
25	34	0.3228181		0.327079904091453	-0.0435233985501837
26	35	0.3232453		0.328290130345771	-0.0399843456146894
27	36	0.3239399		0.329546578615534	-0.0363101260862894
28	37	0.3249019		0.330832825534658	-0.0325487666556435
29	38	0.3261313		0.332135758273924	-0.02873861304247
30	39	0.3276281		0.333444924640379	-0.0249102304935693
31	40	0.3293923		0.33475201699356	-0.0210879129616367
32	41	0.3314239		0.336050460606605	-0.0172908868568712
33	42	0.3337229		0.337335083984431	-0.0135342751323469
34	43	0.3362893		0.338601853817075	-0.009829872357398
35	44	0.3391231		0.339847661148881	-0.00618677002099295
36	45	0.3422243		0.341070148311106	-0.00261186263103999
37	46	0.3455929		0.342267568434611	0.000889741459919598
38	47	0.3492289		0.343438671104611	0.00431438567602297
39	48	0.3531323		0.344582609069234	0.00765959240680934
40	49	0.3573031		0.345698861962781	0.0109238399518998

DELETE_irate2_individual years

	Unnamed: 0	not_using	pill	IUD	injections	implant	male_condom	female_sterilization	other_modern	periodic_abstinence	withdrawal	other_traditional
0	2005	0.99871981	7.82322e-05	0	0.000718314	0	5.68962e-05	0.000227585	0	2.84481e-05	9.95683e-05	7.11202e-05
1	2006	0.99475485	0.0003688	0	0.002827463	2.04889e-05	0.000204889	0.000983466	0	0.000122933	0.000327822	0.000389288
2	2007	0.9934544	0.000466097	0	0.003364001	4.05301e-05	0.000466097	0.00135776	0	0.000303976	0.000283711	0.000263446
3	2008	0.99318796	0.00034822	0	0.003482197	4.35275e-05	0.00034822	0.00163228	0.000108819	0.000239401	0.000391747	0.000217637
4	2009	0.99133831	0.00052571	2.50338e-05	0.004606219	0.000250338	0.000425575	0.001802433	0	0.000425575	0.000275372	0.000325439
5	2010	0.97351968	0.001746966	0.000183891	0.012688489	0.000459728	0.002298639	0.006344244	9.19456e-05	0.000183891	0.001471129	0.001011401
6	2010	0.99959511	3.93659e-05	0	0.000219324	2.81185e-05	4.49896e-05	3.93659e-05	0	0	2.24948e-05	1.12474e-05
7	2011	0.99466109	0.000178958	5.96525e-05	0.002997539	0.000730743	0.000134218	0.000820222	2.98263e-05	2.98263e-05	0.000104392	0.000253523
8	2012	0.99438	0.000227225	4.54449e-05	0.003196292	0.000696822	0.000106038	0.000908898	0	1.51483e-05	7.57415e-05	0.000348411
9	2013	0.99253976	0.000464191	6.6313e-05	0.004094828	0.001061008	0.000397878	0.00066313	6.6313e-05	0.000132626	4.97348e-05	0.000464191
10	2014	0.98996514	0.00025184	5.8117e-05	0.005617978	0.001278574	0.000716776	0.001220457	1.93723e-05	1.93723e-05	0.000135606	0.000716776
11	2015	0.97836912	0.000938699	0.000244878	0.012611215	0.003060974	0.001346829	0.001836585	4.0813e-05	0	0.000367317	0.001183577
12	2016	0.94814813	0.007407408	0	0.037037037	0.007407408	0	0	0	0	0	0
13
14	2005-2010	0.99492145	0.0003218788	8.94108e-06	0.0026435787	5.96072e-05	0.0002980359	0.0010788901	1.78822e-05	0.0001609394	0.000265252	0.000223527
15	2011-2016	0.99484205	0.0002234812	4.24614e-05	0.0029074901	0.0006860872	0.000261473	0.0006078688	1.78785e-05	2.68177e-05	7.82184e-05	0.0003061692
16	change %	-7.98052951817972e-05	-0.305697672540099	3.7490236078863	0.0998311115156133	10.5101397146653	-0.122679516125406	-0.436579499617246	-0.000206909664359046	-0.833367714804454	-0.705116643795334	0.369719094337597
17	combined

DELETE_irate2_5years

	Unnamed: 0	not_using	pill	IUD	injections	implant	male_condom	female_sterilization	other_modern	periodic_abstinence	withdrawal	other_traditional	0.000718829620000139	to get irate2_ to sum to 1
0	2005-09	0.99563533	0.000274138	3.0802e-06	0.0023070716	4.6203e-05	0.0002310152	0.0009024993	1.84812e-05	0.0001601705	0.0002248548	0.0001971329
1	2006-10	0.99571818	0.000279014	8.05e-06	0.002213333	6.70707e-05	0.000268283	0.000904113	1.6097e-05	0.000134141	0.000211943	0.00017975
2	2007-11	0.99565721	0.0002506458	1.79033e-05	0.0022686003	0.0001867055	0.0002506458	0.0008823755	2.04609e-05	0.0001176501	0.0001790327	0.0001688023
3	2008-12	0.99571943	0.0002207733	2.45304e-05	0.00228623	0.0002870053	0.000201149	0.0008291264	1.96243e-05	7.84972e-05	0.0001471822	0.0001864308
4	2009-13	0.99553823	0.000241688	3.31729e-05	0.002414515	0.00042414	0.000213255	0.000720326	1.4217e-05	7.10848e-05	0.000106627	0.000222732
5	2010-14	0.99525946	0.000216738	3.45858e-05	0.002593935	0.00054415	0.000253629	0.000682493	1.614e-05	3.22801e-05	9.45345e-05	0.000272075
6	2011-15	0.99173319	0.000341358	7.04978e-05	0.004663985	0.001113123	0.000404435	0.000983259	2.96833e-05	4.45249e-05	0.000115023	0.000500905
7	2012-16	0.99073011	0.00039982	7.89769e-05	0.005237153	0.001248822	0.000493605	0.001036571	2.96163e-05	4.93605e-05	0.000118465	0.000577518
8
9													seems to be an upswing in contraception initiation rates in 2011
10													(also see sheet ‘irate2_individual years’)
11													–> divide into 2005-2010 and 2011-2016?
12													just use 2011-2016 in model? (sheet irate2_)
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38	2005-10	0.99654037	0.0002240191	5.84398e-06	0.0018018931	5.06478e-05	0.0002103832	0.0007188092	1.1688e-05	0.0001051916	0.0001811633	0.0001499954
39	2011-16	0.99171138	0.000344897	7.04628e-05	0.00468021	0.001116278	0.000404234	0.00098277	2.96685e-05	4.45028e-05	0.000114966	0.000500656
40
41	2005-16	0.99487865	0.000265647	2.80972e-05	0.002793121	0.000417627	0.000277141	0.000809711	1.78801e-05	8.42917e-05	0.000158366	0.000269478

DELETE_Initiation2 by age

	regress _d age_	Unnamed: 1	p-value	Unnamed: 3	regress _d age_ age_sq	Unnamed: 5	p-value.1	Unnamed: 7	fracpoly: regress drate_allmeth age	coefficient	p-value.2	Unnamed: 11	avergae:	0.135713146543154	Unnamed: 14	_d is init2
0	r_init2_age	0.0008218	0.031		r_init2_age	0.0010745	0.706		Iage__1 = X^-2-.1196273042	-0.0496541	0.437					age_ is exact age in years
1	r_init2_cons	0.110019	0		r_init2_age_sq	-4.12e-06	0.929		Iage___2 = X^3-24.16876872	0.0001291	0.531
2					r_init2_cons	0.1063552	0.012		_cons	0.1343131	0
3	age_ model is significant: Prob > F = 0.0306 though not very significant so perhaps not really worth adding computational complexity to the model?						age_ age_sq model is not significant: Prob > F = 0.0963		(where: X = age/10)		Fracpoly model is not significant: Prob > F = 0.0891
4
5		r_init2_age			Age	r_inti2 age age^2			r_init2_fracpoly	proportion relative change compared to average (use this because want to preserve different rates for each contraception method though have one model for age)
6		0.122346			15	0.1215457			0.115500121694836	-0.148939328010425
7		0.1231678			16	0.12249248			0.118265558871225	-0.1285622514572
8		0.1239896			17	0.12343102			0.120585816902756	-0.11146546982158
9		0.1248114			18	0.12436132			0.122560469777552	-0.0969152738745124
10		0.1256332			19	0.12528338			0.124263796645775	-0.0843643389679883
11		0.126455			20	0.1261972			0.125752173083725	-0.0733972626318952
12		0.1272768			21	0.12710278			0.127069060077149	-0.0636938033358182
13		0.1280986			22	0.12800012			0.128248443313477	-0.0550035381229855
14		0.1289204			23	0.12888922			0.129317249466145	-0.0471280582605558
15		0.1297422			24	0.12977008			0.130297073011503	-0.0399082452187401
16		0.130564			25	0.1306427			0.131205429583725	-0.033215035346597
17		0.1313858			26	0.13150708			0.132056678618636	-0.0269426213867559
18		0.1322076			27	0.13236322			0.132862711380982	-0.0210033827582492
19		0.1330294			28	0.13321112			0.133633470161276	-0.0153240598634004
20		0.1338512			29	0.13405078			0.134377344380871	-0.00984283539441597
21		0.134673			30	0.1348822			0.135101475861503	-0.00450708495994156
22		0.1354948			31	0.13570538			0.135811996308595	0.000728372806607462
23		0.1363166			32	0.13652032			0.1365142136806	0.00590264950633589
24		0.1371384			33	0.13732702			0.137212759641393	0.0110498734753156
25		0.1379602			34	0.13812548			0.137911707113483	0.0162000559734272
26		0.138782			35	0.1389157			0.138614664665358	0.0213797866758714
27		0.1396038			36	0.13969768			0.139324852807182	0.0266127958567342
28		0.1404256			37	0.14047142			0.140045166052096	0.0319204116866072
29		0.1412474			38	0.14123692			0.140778223699238	0.0373219344263978
30		0.1420692			39	0.14199418			0.141526411621464	0.0428349443394643
31		0.142891			40	0.1427432			0.142291916833725	0.0484755564080839
32		0.1437128			41	0.14348398			0.143076756233101	0.0542586321038924
33		0.1445346			42	0.14421652			0.143882800607081	0.0601979562925355
34		0.1453564			43	0.14494082			0.144711794779939	0.0663063856818323
35		0.1461782			44	0.14565688			0.145565374591163	0.0725959739270834
36		0.147			45	0.1463647			0.146445081262738	0.079078077496133
37		0.1478218			46	0.14706428			0.14735237360433	0.0857634456030766
38		0.1486436			47	0.14775562			0.148288638420393	0.0926622968928118
39		0.1494654			48	0.14843872			0.14925519941567	0.099784385061101
40		0.1502872			49	0.14911358			0.150253324841701	0.107139055197748

DELETE_Discontinuation by age

	regress drate_allmeth age age_sq	Unnamed: 1	Unnamed: 2	fracpoly: regress drate_allmeth age	coefficient	Unnamed: 5	Unnamed: 6	avergae:	0.0562536268893222
0	r_discontinue_age	0.0049588		Iage__1 = X^-2-.1226518619	-0.2396128
1	r_discontinue_age_sq	-7.3e-05		Iage__2 = X^-2*ln(X)-.1286866602	0.3924457
2	r_discontinue_cons	-0.018882		_cons	0.0635475
3				(where: X = age/10)
4
5	Age	r_discontinue age age^2		r_discontinue_fracpoly	proportion relative change compared to average (use this because want to preserve different rates for each contraception method though have one model for age)
6	15	0.039075		0.00666070213536975	-0.881595152105045
7	16	0.0417708		0.0208863137067068	-0.628711696264488
8	17	0.0443206		0.031579249829477	-0.4386273103491
9	18	0.0467244		0.0396751484882019	-0.294709502619948
10	19	0.0489822		0.0458355910129541	-0.18519758551507
11	20	0.051094		0.0505363872316897	-0.101633263022863
12	21	0.0530598		0.0541249320177681	-0.0378410244683825
13	22	0.0548796		0.0568582892626981	0.0107488602391023
14	23	0.0565534		0.0589289775870138	0.0475587236882579
15	24	0.0580812		0.0604827388932919	0.0751793659863111
16	25	0.059463		0.0616309788400396	0.0955912044799754
17	26	0.0606988		0.0624596038580501	0.110321366139433
18	27	0.0617886		0.063035381921585	0.120556760644176
19	28	0.0627324		0.0634105766669727	0.127226459402016
20	29	0.0635302		0.0636263612978941	0.131062383285573
21	30	0.064182		0.0637153594627721	0.132644470873509
22	31	0.0646878		0.063703554339131	0.132434615539836
23	32	0.0650476		0.0636117356434475	0.130802388414924
24	33	0.0652614		0.0634566053592728	0.12804469450694
25	34	0.0653292		0.0632516290850364	0.124400906798109
26	35	0.065251		0.0630076961514247	0.120064600908151
27	36	0.0650268		0.0627336348310523	0.115192713786782
28	37	0.0646566		0.0624366169197879	0.109912735806895
29	38	0.0641404		0.0621224772669663	0.104328390935415
30	39	0.0634782		0.0617959674872303	0.0985241468752321
31	40	0.06267		0.0614609584219555	0.092568814147372
32	41	0.0617158		0.0611206024610377	0.0865184316255944
33	42	0.0606156		0.0607774642543037	0.0804185901449891
34	43	0.0593694		0.0604336264004217	0.0743063112948004
35	44	0.0579772		0.0600907752313422	0.0682115723768266
36	45	0.056439		0.0597502706903468	0.0621585486017489
37	46	0.0547548		0.059413203443248	0.0561666283338888
38	47	0.0529246		0.0590804417003521	0.0502512454279903
39	48	0.0509484		0.0587526697136466	0.0444245635795403
40	49	0.0488262		0.0584304195137881	0.038696040501507

DELETEswitching_matrix (cell %)

	switchfrom	pill	IUD	injections	implant	male_condom	female_sterilization	other_modern	periodic_abstinence	withdrawal	other_traditional	cell percentage row totals
0	pill	0	0	0.0680203	0.0274112	0.013198	0.0071066	0.00304569	0.00101523	0.00507614	0.00101523	0.125888
1	IUD	0.00101523	0	0.00304569	0.00203046	0.00101523	0.00101523	0	0	0	0	0.00812183
2	injections	0.119797	0.0121827	0	0.204061	0.048731	0.0345178	0.00406091	0.00406091	0.0203046	0.00812183	0.455838
3	implant	0.0142132	0.00203046	0.0436548	0	0.0071066	0.00203046	0	0	0	0	0.0690355
4	male_condom	0.0172589	0.00101523	0.123858	0.0467005	0	0.00609137	0.00101523	0.00203046	0.0101523	0	0.208122
5	other_modern	0	0	0.00203046	0	0	0	0	0	0	0	0.00203046
6	periodic_abstinence	0	0	0.00203046	0.00406091	0	0	0	0	0	0	0.00609137
7	withdrawal	0.00203046	0.00101523	0.0284264	0.0162437	0.00609137	0.00101523	0	0	0	0	0.0548223
8	other_traditional	0	0	0.0517766	0.0101523	0.00406091	0.00406091	0	0	0	0	0.0700508

DELETE_r_init2_age

	age	r_init1_age
0	15	-0.148939
1	16	-0.128562
2	17	-0.111465
3	18	-0.0969153
4	19	-0.0843643
5	20	-0.0733973
6	21	-0.0636938
7	22	-0.0550035
8	23	-0.0471281
9	24	-0.0399082
10	25	-0.033215
11	26	-0.0269426
12	27	-0.0210034
13	28	-0.0153241
14	29	-0.00984284
15	30	-0.00450708
16	31	0.000728373
17	32	0.00590265
18	33	0.0110499
19	34	0.0162001
20	35	0.0213798
21	36	0.0266128
22	37	0.0319204
23	38	0.0373219
24	39	0.0428349
25	40	0.0484756
26	41	0.0542586
27	42	0.060198
28	43	0.0663064
29	44	0.072596
30	45	0.0790781
31	46	0.0857634
32	47	0.0926623
33	48	0.0997844
34	49	0.107139

DELETE_switching_matrix (n)

	switchfrom	pill	IUD	injections	implant	male_condom	female_sterilization	other_modern	periodic_abstinence	withdrawal	other_traditional	Total	Unnamed: 12	This is from eventsfile.dta which is the 2016 DHS (i.e same as eventsfile2016.dta)
0	pill	0	0	67	27	13	7	3	1	5	1	124
1	IUD	1	0	3	2	1	1	0	0	0	0	8
2	injections	118	12	0	201	48	34	4	4	20	8	449
3	implant	14	2	43	0	7	2	0	0	0	0	68
4	male_condom	17	1	122	46	0	6	1	2	10	0	205
5	other_modern	0	0	2	0	0	0	0	0	0	0	2
6	periodic_abstinence	0	0	2	4	0	0	0	0	0	0	6
7	withdrawal	2	1	28	16	6	1	0	0	0	0	54
8	other_traditional	0	0	51	10	4	4	0	0	0	0	69
9	Total	152	16	318	306	79	55	8	7	35	9	985

contraception_failure_discontin

	reason	age	drate_pill	drate_iud	drate_inj	drate_impl	drate_condom	drate_femalester	drate_othermod	drate_abst	drate_withdr	drate_othertrad	drate_allmeth
0	Method failure	19	0	0	0.0058392	0	0.0126391	0	0	0	0	0	0.00725959
1	Method failure	20	0	0	0.00351052	0	0	0	0	0	0	0	0.00403545
2	Method failure	21	0.0180749	0	0.00633523	0	0.00502662	0	0	0	0.0123435	0	0.00771364
3	Method failure	22	0.00783197	0	0.00351052	0	0	0	0	0	0.0262977	0	0.00673133
4	Method failure	23	0	0	0.00367508	0.000427862	0.0110947	0	0	0	0.0040844	0.0384797	0.00673133
5	Method failure	24	0	0	0.00633523	0	0	0	0	0	0.0214412	0	0.00771364
6	Method failure	25	0.0203191	0	0.00507431	0.000427862	0	0	0	0	0.0429638	0.0306989	0.0081373
7	Method failure	26	0.00960474	0	0.00426851	0	0.000368047	0	0	0.00663357	0.0429638	0	0.0081373
8	Method failure	27	0.0161636	0	0.00507431	0.000805882	0.00463927	0	0	0	0	0.0437067	0.00601181
9	Method failure	28	0.0203191	0	0.00610126	0	0.00502662	0	0	0	0	0	0.00725959
10	Method failure	29	0.0161636	0	0.0058392	0	0.00690067	0	0	0	0.0178425	0.012143	0.00673133
11	Method failure	30	0.0161636	0	0.00507431	0	0.0110947	0	0	0	0	0	0.00673133
12	Method failure	31	0.0221617	0	0.0058392	0.000992394	0.0140531	0	0	0	0	0	0.0081373
13	Method failure	32	0	0	0.00633523	0.00114095	0	0	0	0	0.0338248	0.0384797	0.0081373
14	Method failure	33	0	0	0.00367508	0	0	0	0	0	0	0.0316868	0.00437925
15	Method failure	34	0.00960474	0	0.0058392	0	0	0	0	0	0	0.0546543	0.00771364
16	Method failure	35	0.0231417	0	0.00367508	0.000921377	0.0126391	0	0	0	0	0	0.0081373
17	Method failure	36	0	0	0	0	0	0	0	0	0	0.024348	0.00354373
18	Method failure	37	0.0161636	0	0.00225894	0	0	0	0	0	0	0.0502978	0.00725959
19	Method failure	38	0.0203191	0	0	0	0	0	0	0	0	0.024348	0.00725959
20	Method failure	39	0	0	0.00507431	0	0	0	0	0	0	0	0.00601181
21	Method failure	40	0	0	0.00426851	0	0.009148	0	0	0	0	0	0.00601181
22	Method failure	41	0	0	0.006368	0	0.000684523	0	0	0	0	0	0.0081373
23	Method failure	42	0.00783197	0	0	0	0	0	0	0	0	0	0.00195467
24	Method failure	46	0	0	0	0	0	0	0	0	0.0338248	0	0.00771364
25	Method failure	47	0	0	0	0	0	0	0	0	0	0.0590761	0.0081373
26	Method failure	48	0	0	0	0	0	0	0	0	0.0214412	0	0.00601181
27	All reasons	15	0.0266819	0	0	0	0.294164	0	0	0	0	0	0.0896132
28	All reasons	16	0.0266819	0	0.0622448	0	0.285316	0	0	0.0384746	0	0.382579	0.154898
29	All reasons	17	0	0	0.166155	0	0.389435	0	0	0	0.0489501	0	0.191762
30	All reasons	18	0.309628	0	0.337503	0.0484895	0.430643	0	0	0.0313785	0.113672	0.287256	0.340477
31	All reasons	19	0.33042	0	0.368106	0.0353555	0.552341	0	0.181904	0	0.108038	0	0.340194
32	All reasons	20	0.458972	0	0.399031	0.0289018	0.530141	0	0.282059	0.171065	0.231411	0.0132711	0.357369
33	All reasons	21	0.393784	0.0085984	0.399486	0.0644273	0.47389	0	0	0	0.376464	0.527458	0.357021
34	All reasons	22	0.454106	0.00710847	0.403724	0.050826	0.568238	0	0	0	0.290771	0.413263	0.364258
35	All reasons	23	0.489537	0.00510788	0.403889	0.0608592	0.51473	0	0.0174705	0.175738	0.206135	0.470859	0.364258
36	All reasons	24	0.504887	0.0113511	0.401856	0.0484895	0.590525	0	0	0.030646	0.401755	0.164031	0.36524
37	All reasons	25	0.58365	0.00356243	0.405288	0.0685873	0.509535	0	0.0219882	0.0935142	0.144927	0.383103	0.365664
38	All reasons	26	0.415105	0.0662155	0.404482	0.0634985	0.514199	0	0.0344215	0.0905695	0.286551	0.0470458	0.365664
39	All reasons	27	0.431995	0.0597193	0.405288	0.0615049	0.570747	0	0.0232254	0.1376	0.236211	0.423917	0.363539
40	All reasons	28	0.517466	0.0296772	0.392626	0.0568896	0.538735	0	0.181904	0.0901645	0.183781	0.491609	0.358006
41	All reasons	29	0.468027	0	0.406053	0.0385804	0.532647	0	0	0	0.307006	0.413076	0.364258
42	All reasons	30	0.464894	0	0.40009	0.0646268	0.5286	0	0.260053	0.266492	0.33177	0.499587	0.364258
43	All reasons	31	0.485184	0.100416	0.406053	0.0383558	0.473294	0	0	0.273773	0.259897	0.428185	0.365664
44	All reasons	32	0.544792	0.00710847	0.393988	0.0552986	0.471841	0	0.0484942	0.0196718	0.294556	0.439985	0.360227
45	All reasons	33	0.475813	0.0331936	0.399637	0.062015	0.475524	0	0	0.0176247	0.324562	0.363538	0.357713
46	All reasons	34	0.574536	0.0597193	0.390964	0.0532001	0.48081	0	0	0	0.142236	0.486782	0.354267
47	All reasons	35	0.558576	0.0236232	0.403889	0.0593183	0.519657	0	0	0	0.254917	0.327332	0.365664
48	All reasons	36	0.536475	0	0.388028	0.050457	0.300358	0	0.181904	0.0123679	0.203761	0.300235	0.351278
49	All reasons	37	0.474545	0	0.323912	0.0606872	0.488046	0	0	0	0.132851	0.447347	0.345983
50	All reasons	38	0.499863	0.00710847	0.400213	0.049446	0.436876	0	0	0	0.165411	0.223453	0.364786
51	All reasons	39	0.451192	0	0.372632	0.0484895	0.232626	0	0	0	0.148869	0.143501	0.346875
52	All reasons	40	0.34288	0	0.388994	0.0512255	0.430381	0	0	0	0.0131474	0.308869	0.363539
53	All reasons	41	0.353644	0.0287311	0.387721	0.00943134	0.117701	0	0	0	0	0.43835	0.365664
54	All reasons	42	0.340025	0	0.368479	0.00114597	0.19597	0	0	0	0	0.376717	0.329371
55	All reasons	43	0.340458	0	0.367504	0.0207456	0.197192	0	0	0.030646	0.0622558	0.136915	0.333967
56	All reasons	44	0.228562	0	0.310856	0.0123129	0.152294	0	0	0	0	0.0569489	0.294646
57	All reasons	45	0.253037	0	0.323653	0.0484895	0.088275	0	0	0	0.0635547	0.0204225	0.329605
58	All reasons	46	0.290354	0	0.297756	0	0.208306	0	0	0	0.0338248	0	0.328935
59	All reasons	47	0	0	0.123476	0	0.0822704	0	0	0	0	0.311126	0.230716
60	All reasons	48	0	0	0.176891	0	0.131293	0	0	0	0.0214412	0	0.176437
61	All reasons	49	0	0	0.18866	0	0.0647238	0	0	0	0	0	0.181038
62	Switching	15	0	0	0	0	0.0630517	0	0	0	0	0	0.0192265
63	Switching	16	0	0	0	0	0.0996982	0	0	0	0	0	0.0368187
64	Switching	17	0	0	0.0290845	0	0	0	0	0	0	0	0.0425297
65	Switching	18	0.0403916	0	0.0255805	0	0.123677	0	0	0	0.0449968	0.263322	0.0460437
66	Switching	19	0.0693458	0	0.0156299	0.00176063	0.0349103	0	0	0	0.0645503	0	0.0258617
67	Switching	20	0.12113	0	0.0376343	0	0.0842283	0	0	0.0644135	0.165454	0.0825412	0.0516273
68	Switching	21	0.0940721	0	0.0376343	0	0.106849	0	0	0	0.165454	0.308515	0.0516273
69	Switching	22	0.109117	0	0.0376343	0.00899208	0.137209	0	0	0	0.0607991	0.308515	0.0516273
70	Switching	23	0.133119	0	0.0376343	0.00899208	0.102044	0	0	0.083936	0.0645503	0.164403	0.0516273
71	Switching	24	0.114663	0	0.0376343	0.0103522	0.137209	0	0	0	0.109501	0.164403	0.0516273
72	Switching	25	0.0940721	0	0.0376343	0.00657257	0.102044	0	0	0	0.0449968	0.326568	0.0516273
73	Switching	26	0.133119	0	0.0314257	0.0103522	0.123677	0	0	0.083936	0.128071	0	0.0516273
74	Switching	27	0.0403916	0.0174148	0.0376343	0.00398898	0.137209	0	0.0318603	0	0.139039	0.316498	0.0516273
75	Switching	28	0.133119	0.00605405	0.0290845	0.0103522	0.137209	0	0	0.0901645	0	0.164403	0.0516273
76	Switching	29	0.114663	0	0.0376343	0.00900276	0.137209	0	0	0	0.123969	0.308515	0.0516273
77	Switching	30	0.0940721	0	0.0376343	0.00743653	0.137209	0	0	0.0644135	0.139039	0.320122	0.0516273
78	Switching	31	0.133119	0	0.0376343	0.00603667	0.137209	0	0	0	0.109501	0.308515	0.0516273
79	Switching	32	0.120794	0	0.0376343	0.00899208	0.119313	0	0.0318603	0	0.165454	0.311956	0.0516273
80	Switching	33	0.109117	0	0.0376343	0.00398898	0.0958094	0	0	0	0.165454	0.285583	0.0516273
81	Switching	34	0.133119	0.00744378	0.0290845	0.00657257	0.106849	0	0	0	0.0852489	0.317089	0.0516273
82	Switching	35	0.133119	0	0.0376343	0.00899208	0.123677	0	0	0	0.123969	0.263322	0.0516273
83	Switching	36	0.133119	0	0.0376343	0	0	0	0	0	0.109501	0.263322	0.0516273
84	Switching	37	0.114663	0	0.0376343	0.00971716	0.137209	0	0	0	0.109501	0.326568	0.0516273
85	Switching	38	0.112607	0	0.0376343	0.00176063	0.137209	0	0	0	0	0.195786	0.0516273
86	Switching	39	0.120794	0	0.0290845	0	0.0748052	0	0	0	0	0.0825412	0.045003
87	Switching	40	0.133119	0	0.0376343	0	0.137209	0	0	0	0	0.285583	0.0516273
88	Switching	41	0	0.00510788	0.0376343	0	0	0	0	0	0	0.0825412	0.0516273
89	Switching	42	0.109117	0	0.00880906	0	0.0748052	0	0	0	0	0.308515	0.0368187
90	Switching	43	0.110616	0	0.0290845	0	0.0349103	0	0	0	0	0	0.0425297
91	Switching	44	0.0693458	0	0.0156299	0	0	0	0	0	0	0	0.0258617
92	Switching	45	0	0	0.0314257	0	0.0630517	0	0	0	0	0	0.045003
93	Switching	46	0.0861344	0	0.0156299	0	0.0996982	0	0	0	0	0	0.0368187
94	Switching	47	0	0	0	0	0	0	0	0	0	0.311956	0.0378962
95	Switching	49	0	0	0	0	0.0748052	0	0	0	0	0	0.0258617

DELETE_lit summary

	Source: Guttmacher Institute and WHO	Unnamed: 1	Unnamed: 2	Unnamed: 3	Unnamed: 4	Unnamed: 5	Unnamed: 6	Unnamed: 7	Unnamed: 8	Unnamed: 9	Unnamed: 10
0	REFERENCE	RELEVANCE	COUNTRY	CONTRACEPTIVE METHOD	TYPE OF STUDY	N FOR ANALYSIS		CHARACTERISTICS OF THE SAMPLE	STATISTICAL ANALYSIS	LIMITATIONS OF THE ESTIMATE	NOTES
1	Polis CB et al., Contraceptive Failure Rates in the Developing World: An Analysis of Demographic and Health Survey Data in 43 Countries, New York: Guttmacher Institute, 2016	High - failure rates	43 developing countries including Malawi	Pill, IUD, Injectables, Implants, male condom, periodic abstinence and withdrawal	systematic analysis of DHS data on contraception	8,895 women completed the survey, 68.0% reported NOT using any contraception, N for analysis=2,843, from Malawi DHS 2004		women aged 15–49, who are currently married and/or had sex in the past 3 months	Using self-reported data from national surveys of women, typical use of contraceptive failure rates (cumulative probability of pregnancy per 100 episodes) were estimated for seven methods at 12, 24 and 36 months of use.	Failure rates in this report are calculated based on women’s self-reports (which are subject to recall and other biases).	Failure rates - unit of analysis is the episode of contraceptive use (defined as a period of uninterrupted use in months that may or may not have ended)
2						No. of episodes of contraceptive use				The 2004 DHS data was analysed for Malawi, because the 2010 survey did not include the information on the reasons for discontinuation in the calendar that is necessary for calculating the contraceptive failure rate.
3						Pill	468
4						IUD	10
5						Injectables	2985
6						Implant	4.3
7						Condom	511
8						Periodic Abstinence	93
9						Withdrawal	514
10						total	4590			The averaged rates are useful for purposes of modeling and estimation at regional and subregional levels. Such averaged values may also be used for estimation at the country level, for countries in a given subregion that lack data.
11	Ali MM, Cleland J and Shah I, Causes and Consequences of Contraceptive Discontinuation: Evidence From 60 Demographic and Health Surveys, Geneva: World Health Organization, 2012	high - discontinuation rates (+ failure rates)	multiple developing countries including Malawi (DHS 2004)	Pill, IUD, Injectables, male condom, periodic abstinence and withdrawal	data from 60 Demographic and Health Surveys with a contraceptive calendar conducted between 1990 and 2009 in 25 countries.	11 698 malawian women participated in the 2004 DHS survey, number of episodes from all methods: 4590		why the difference between 11698 for Malawi 2004 here and 8895 for Malawi 2004 above? And also 4590 using all methods here and 2843 for Guttmacher study above?	single- and multiple decrement life-table methods to calculate cause-specific discontinuation probabilities by method
12
13
14
15	Bradley, Sarah E.K., Trevor N. Croft, and Shea O. Rutstein. 2011. The Impact of Contraceptive Failure on Unintended Births and Induced Abortions: Estimates and Strategies for Reduction. DHS Analytical Studies No. 22. Calverton, Maryland, USA: ICF Macro.	high - failure rates (multiple decrement)	20 developing countries including Malawi	Pill, IUD, Injectables, male condom, female sterilisation, periodic abstinence and withdrawal	data analysis from 20 DHS, most recent being 2002 - does this use Malawi 2000 DHS then?			women aged 15-49	Contraceptive failure rates are calculated using a life table approach for competing risks or multiple decrements. it is taken into account that the observed failure rates are affected by rates of discontinuation for other reasons, such as side effects, or in order to become pregnant.		Instead, we used averaged 12-month failure rates over a 3-year horizon (36-month rates÷3)
16											Unobserved, or associated single decrement, rates are sometimes used for multi-country comparisons because they are unaffected by, or independent of, discontinuations for other reasons
17											We use multiple decrement estimates instead, because these failure rates are most reflective of women’s actual experiences of contraceptive use, during which women are simultaneously at risk of experiencing failure, discontinuing due to side effects, discontinuing in order to become pregnant, etc

DELETE_WHO

	Unnamed: 0	Unnamed: 1	Unnamed: 2	Unnamed: 3	Unnamed: 4	Unnamed: 5	Unnamed: 6	Unnamed: 7	Unnamed: 8	Unnamed: 9	Unnamed: 10	Unnamed: 11
0	Cause-specific discontinuation probabilities at months 12 per 100 episodes, by method: median values for 19 countries*
1	Method	Reported failure	Method-related	Side-effects or health concerns	Desire for pregnancy	No further need	All reasons
2	Pill	5.6	25.4	20.1	10.4	8.5	43.5
3	IUD	1.1	8.8	7.7	1.3	0.8	13.1
4	Injectable	1.5	34.8	26.9	6.6	5.7	40.6
5	Condom	7.6	23.1	2.6	11.1	12.7	50.4
6	Abstinence	17.4	12.7	1	7.3	6.6	40.3
7	Withdrawal	15.3	11.7	1.1	7.8	9.2	40
8	All methods	7.2	19.9	10.4	6.1	7.8	37.7
9	*Armenia (2005), Bangladesh (2004), Colombia (2005), Dominican Republic (2002), Egypt (2008), Ethiopia (2005), Indonesia (2007), Jordan (2009), Kenya (2003), Malawi (2004), Moldova (2005), Morocco (2003/4), Peru (2004/6), Philipines (2003), Tanzania (2004/5), Turkey (2003), Ukraine (2007), Viet Nam (2002) and Zimbabwe (2005/6)
10
11
12	Median duration of method-specific use (months)
13	Country	Modern Methods				Traditional Methods		All methods
14		Pill	IUD	Injectable	Condom	Abstinence	Withdrawal
15	Malawi	11.6		10.7	18.8		15.2	18
16
17
18	Status (%) at three months after discontinuing following contraceptives for method-related reasons in Malawi
19	Method	Number of episodes	At risk	became pregnant	Switched to:
20					IUD	Pill	Injectable	Barrier	Any modern reversible method	Sterilisation	Traditional method
21	Any method	876	73.4	12.8	0	3.6	4.1	1.8	9.6	0.9	3.3
22	Pill	158	48.8	18	0	0	22.9	4	26.9	0.7	5.6
23	IUD
24	Injectable	717	78.8	11.7	0	4.4	0	1.4	5.7	1	2.8
25	Condom
26	Abstinence
27	Withdrawal
28
29
30	MALAWI
31	Cumulative and conditional (single and multiple) decrement discontinuation probabilities per 100 episodes at 12, 24 and 36 months: All reasons
32	Method	Single decrement					Multiple decrement
33		Cumulative rates at			Conditional rates at		Cumulative rates at			Conditional rates at
34		12	24	36	24¦12	36¦24	12	24	36	24¦12	36¦24
35	Pill	51.5	76	88.1	50.6		51.5	76	88.1	50.6
36	IUD
37	Injectable	31.6	61.8	80.5	44.1	48.9	31.6	61.8	80.5	44.1	48.9
38	Condom	56.5	88.2	96			56.5	88.2	96
39	Abstinence
40	Withdrawal	37.8	80.3	93	68.4		37.8	80.3	93	68.4
41	All methods	34.1	63.4	79.1	43.4	39.1	34.1	63.4	79.1	43.4	39.1
42
43	Cumulative and conditional (single and multiple) decrement discontinuation probabilities per 100 episodes at 12, 24 and 36 months: Reported failure											FAILURE RATE
44	Method	Single decrement					Multiple decrement					can we calculate a pooled estimate from the countries neighboring malawi?
45		Cumulative rates at			Conditional rates at		Cumulative rates at			Conditional rates at
46		12	24	36	24¦12	36¦24	12	24	36	24¦12	36¦24
47	Pill	9.8	13.4	15.4	4		7.2	8.6	9.1	2.7
48	IUD
49	Injectable	1.7	5.3	8.8	3.6	3.7	1.4	3.3	4.5	2.8	3.1
50	Condom	5.7	24.4	37.8			3.1	8.1	9.5
51	Abstinence
52	Withdrawal	12.3	41.4	54.4	33.2		10.2	25.1	28.3	24
53	All methods	4.5	11.6	17.5	7.1	2.8	3.7	7.6	9.6	5.7	2.4
54
55	Cumulative and conditional (single and multiple) decrement discontinuation probabilities per 100 episodes at 12, 24 and 36 months: Method-related reasons
56	Method	Single decrement					Multiple decrement
57		Cumulative rates at			Conditional rates at		Cumulative rates at			Conditional rates at
58		12	24	36	24¦12	36¦24	12	24	36	24¦12	36¦24
59	Pill	30.4	45.6	57.3	21.9		27.5	36.9	41	19.5
60	IUD
61	Injectable	16.6	31.8	46.9	18.2	22.1	15.4	26.3	33.5	15.8	18.9
62	Condom	25.7	36.8	36.8			22.6	26.3	26.3
63	Abstinence
64	Withdrawal	9.8	16.1	16.1	7		8.6	11.8	11.8	5
65	All methods	16.1	28.4	39.5	14.8	17	14.8	23	27.9	12.7	15.1
66
67	Cumulative and conditional (single and multiple) decrement discontinuation probabilities per 100 episodes at 12, 24 and 36 months: Side-effects or health concerns
68	Method	Single decrement					Multiple decrement
69		Cumulative rates at			Conditional rates at		Cumulative rates at			Conditional rates at
70		12	24	36	24¦12	36¦24	12	24	36	24¦12	36¦24
71	Pill	24.3	35.9	46.5	15.3		21.1	27.6	30.6	13.3
72	IUD
73	Injectable	Data not displayed for side-effects
74	Condom	1.3	1.3	1.3			1	1	1
75	Abstinence
76	Withdrawal	0.2	0.2	0.2			0.1	0.1	0.1
77	All methods	11.6	21.5	31	11.6	13.6	10.2	16.4	20.2	9.7	11.8
78
79	Cumulative and conditional (single and multiple) decrement discontinuation probabilities per 100 episodes at 12, 24 and 36 months: Desire for pregnancy
80	Method	Single decrement					Multiple decrement
81		Cumulative rates at			Conditional rates at		Cumulative rates at			Conditional rates at
82		12	24	36	24¦12	36¦24	12	24	36	24¦12	36¦24
83	Pill	14.9	39.7	53.3	29.1		10.7	22.3	26.9	23.9
84	IUD
85	Injectable	9.1	29.9	47.5	22.8	25.2	7.9	21.3	29.2	19.6	20.7
86	Condom	21.2	61.8	84.3			14.4	32.7	29.1
87	Abstinence
88	Withdrawal	12.4	49.8	70	42.7		10.5	31.6	38.2	33.9
89	All methods	9.9	31.6	46.1	23.1	19.2	8.3	22	28.7	10	16.6
90
91	Cumulative and conditional (single and multiple) decrement discontinuation probabilities per 100 episodes at 12, 24 and 36 months: No further need
92	Method	Single decrement					Multiple decrement
93		Cumulative rates at			Conditional rates at		Cumulative rates at			Conditional rates at
94		12	24	36	24¦12	36¦24	12	24	36	24¦12	36¦24
95	Pill	8	13.3	21.5	5.8		6.1	8.2	9.9	4.5
96	IUD
97	Injectable	7.7	14.2	20.8	7	7.7	6.8	10.8	13.1	5.7	6.1
98	Condom	19.1	30.9	30.9			16.1	20.9	20.9
99	Abstinence
100	Withdrawal	9.4	16.9	35.1	8.3		8.3	11.7	14.5	5.5
101	All methods	8.2	14	19.7	6	5.8	7.2	10.6	12.6	4.9	4.9

DELETE_Guttmacher

	Twelve-month failure rates (number of failures per 100 episodes of use) by method, according to demographic and socioeconomic characteristics, for Eastern Africa	Unnamed: 1	Unnamed: 2	Unnamed: 3	Unnamed: 4	Unnamed: 5	Unnamed: 6	Unnamed: 7	Unnamed: 8	Unnamed: 9	Unnamed: 10	Unnamed: 11	Unnamed: 12	Unnamed: 13	Unnamed: 14	Unnamed: 15	Unnamed: 16	Unnamed: 17	Unnamed: 18	Unnamed: 19	Unnamed: 20	Unnamed: 21	Unnamed: 22	Unnamed: 23	12- 24- 36-month contraceptive failure rate, no. of failures per 100 episodes of use, according to method (single decrement approach)	Unnamed: 25	Unnamed: 26	Unnamed: 27	Unnamed: 28	Unnamed: 29	Unnamed: 30
0	Demographic and socioeconomic factors		Pill			IUD			Injectables			Implants			Condom			Periodic Abstinence			Withdrawal				Method	Malawi			Eastern Africa (pooled estimate)
1			Failure rate	95% CI (–/+)		Failure rate	95% CI (–/+)		Failure rate	95% CI (–/+)		Failure rate	95% CI (–/+)		Failure rate	95% CI (–/+)		Failure rate	95% CI (–/+)		Failure rate	95% CI (–/+)				12	24	36	12	24	36
2	Age																								Pill	9.3, 95%CI (5.1-13-4)	14.9	16.7	4.7, 95%CI(4.1-5.4)	10.3	14.8
3		<25	6.8	5.5	8.1				3.1	2.3	3.9	(1.5)	0	3.8	4.2	2.8	5.6	18.7	14.6	22.8	17.8	14	21.6		IUD				1.2 95%CI (0.0-2.9)	4.3	7.9
4		≥25	3.7	3	4.4	0.5	0	1.1	1.3	1	1.7	0.4	0	0.8	2.8	1.7	4	10.3	8.1	12.5	13	10.3	15.7		Injectable	1.7 95%CI (0.9-2.5)	4.7	7.8	1.9 95%CI (1.5-2.2)	4	6.2
5	Marital status																								Implant				0.6 95%CI (0.0-1.1)	0.6	1.2
6		Never married	9.1	4.3	14				2.4	0.7	4.1				2.1	1.1	3	13.6	7.6	19.7					Condom	5.1 95%CI (1.3-9.0)	16.7	26.6	3.5 95%CI (2.6-4.4)	8.5	11.9
7		ever married	4.5	3.9	5.1	1.3	0	2.9	1.8	1.5	2.2	0.6	0	1.1	4.4	3.1	5.7	12.9	10.6	15.2	14.6	12.2	16.9		Abstinence				13.0 95%CI (10.9-15.2)	26.5	34.6
8	Parity																								Withdrawal	12.4 95%CI (9.1-15.8)	40.1	51.8	14.6 95%CI (12.3-16.8)	32.6	41
9		0–2 children	5.3	4.4	6.1	(2.7)	0	6.4	2.6	2	3.2	1.1	0	2.5	3.4	2.4	4.4	15.1	11.9	18.3	14.8	11.4	18.2		*Malawi: IUD, Implants, periodic abstinence not reported for Malawi because there were fewer than 125 episodes of use for that method
10		≥3 children	4.1	3.2	5	(0.1)	0	0.2	1.4	1	1.8	0.3	0	0.7	3.8	1.9	5.7	10.8	8.2	13.4	14.3	11.3	17.4		*Eastern Africa (pooled estimate) 2003-2011: Burundi, Comoros, Ethiopia, Kenya, Malawi, Mozambique, Rwanda, Tanzania, Uganda, Zimbabwe
11	Contraceptive intention
12		For spacing	4.7	4	5.5	1.4	0	4.1	2.2	1.7	2.7	1	0	2.1	3.5	2.5	4.4	13.8	11	16.5	14.7	11.9	17.4
13		For limiting	4.8	3.7	5.9	(0.1)	0	2.4	1.4	0.9	1.8	0.1	0	0.3	3.8	1.5	6.1	11.6	8.1	15.1	14.3	10.4	18.2
14	Wealth
15		Lower three quintiles	4.6	3.7	5.4				2.2	1.7	2.7	0.1	0	0.4	6	3.8	8.2	17.5	13.9	21.1	15.8	12.7	18.8
16		Upper two quintiles	4.9	4	5.8	0.6	0	1.4	1.6	1.1	2	0.9	0	1.8	2.4	1.6	3.2	9	6.6	11.5	13.2	10.2	16.2
17	Residence
18		Urban	4.6	3.7	5.6	(0.9)	0	2.2	1.8	1	2.5	0.7	0	1.6	1.9	1.2	2.7	5.2	2.7	7.7	11.9	7.4	16.4
19		Rural	4.8	4	5.6	(1.6)	0	4.6	1.9	1.5	2.3	0.5	0	1.2	5.2	3.6	6.8	16.4	13.5	19.2	15.3	12.7	17.9
20	Education
21		Completed primary or less	5	4.2	5.9	(1.7)	0	5	1.9	1.6	2.3	0.1	0	0.2	4.9	3.3	6.5	14	11.4	16.7	14.9	12.4	17.4
22		Secondary or more	4.4	3.5	5.3	(0.9)	0	2	1.7	1	2.4	1.3	0	2.7	2.3	1.4	3.2	11.1	7.5	14.7	13.5	8.4	18.5
23	*Age, parity, marital status and contraceptive intention were measured at the end of the episode of contraceptive use; wealth, education and residence were measured at the time of the survey interview. (-) Not reported because there were fewer than 125 episodes of use of that method. Failure rates were calculated using the single-decrement approach. Values in parentheses indicate calculations were based on 125–249 episodes of use for that method.
24					pill Age RR:	pill weight	Injectables Age RR:	Injectables Weight	Condom Age RR:	Condom Weight	Periodic Abstinence Age RR:	Periodic Abstinance Weight	Withdrawal Age RR:	Withdrawal Weight
25		significant difference (no overlap in 95%CI between categories)	Age RR (weighted average):	2.17050030653037	1.83783783783784	0.0550990243225534	2.38461538461538	0.491775486939558	1.5	0.0715000771403358	1.81553398058252	0.0156223606686766	1.36923076923077	0.0417848578604033
26
27	Twelve-month failure rates by method, according to combinations of demographic and socioeconomic characteristics, for Eastern Africa
28	Demographic and socioeconomic factors		Contraception method
29			Pill			IUD			Injectables			Implants			Condom			Periodic Abstinence			Withdrawal
30	Wealth
31	Lower three quintiles
32		Age
33		<25		6.9						3.3						7.5			26			18.5
34		≥25		3.3						1.7			0.1			4.6			13.5			14.3
35		Contraceptive intention
36		For spacing		4.6						2.7			(0.0)			6.2			19.8			15.2
37		For limiting		4.4						1.4			0.2			(5.1)			13.7			16.8
38		Education
39		Completed primary or less		5.1						2.1			0.1			7.5			16.8			16.4
40		Secondary or more		3.6						2.4						3.1			(21.3)
41	Upper two quintiles
42		Age
43		<25		6.7						2.9						2.8			11.9			16.9
44		≥25		4.1			0.6			0.9			0.5			2			7.6			11.6
45		Contraceptive intention
46		For spacing		4.8			(0.0)			1.7			1.6			2.2			8.8			14.1
47		For limiting		5.2			(1.4)			1.3			0			3.2			9.4			11.3
48		Education
49		Completed primary or less		4.9						1.6			0			2.9			10			12.7
50		Secondary or more		4.9			(0.9)			1.5			1.7			2.1			8.1			14.4
51	Residence
52	Urban
53		Age
54		<25		6.7						2.1						2			6.1			(10.7)
55		≥25		3.6			(1.0)			1.5			0.5			1.7			4.6			12.2
56		Contraceptive intention
57		For spacing		4.4			(0.0)			1.9			(1.1)			1.9			3.6			12.6
58		For limiting		5.3						1.6			(0.0)			2.2			(10.1)
59	Rural
60		Age
61		<25		6.9						3.5			(1.7)			6.9			24			19.9
62		≥25		3.8			(0.0)			1.3			0.3			3.7			12.8			13.2
63		Contraceptive intention
64		For spacing		4.9						2.3			1.0			5.3			19.2			15.3
65		For limiting		4.6						1.3			0.1			4.8			12			15.2
66	Education
67	Completed primary or less
68		Age
69		<25		7.2						3.3						6			19.8			18.9
70		≥25		4			(0.0)			1.3			0.1			3.9			11.3			13.1
71		Contraceptive intention
72		For spacing		5						2.2			0			4.9			16.4			14.7
73		For limiting		5.2						1.5			0.1			4.9			10.3			15.2
74	Secondary or more
75		Age
76		<25		6.3						2.5						2.8			16.4			(14.9)
77		≥25		3.4			(0.9)			1.3			0.8			1.7			8.4			12.5
78		Contraceptive intention
79		For spacing		4.5			(0.0)			2.2			2.2			2.3			9.4			14.6
80		For limiting		4.2						0.5			(0.0)			2.1			(15.3)
81	Parity
82	0–2 children
83		Age
84		<25		6.4						3.3			(2.0)			3.9			18			16.8
85		≥25		3.8			(1.3)			1.3			0.6			2.4			11.2			11
86		Contraceptive intention
87		For spacing		5.2			(2.1)			2.7			1.4			3.4			14.3			14.9
88		For limiting		5.9						1.3						(3.9)
89		Education
90		Completed primary or less		5.9						2.9			(0.0)			5			16.9			16.6
91		Secondary or more		4.8			(1.4)			1.9			(1.9)			2.3			12.8			11.4
92	≥3 children
93		Age
94		<25		12						1.9
95		≥25		3.6			(0.0)			1.3			0.3			3.3			10			13.6
96		Contraceptive intention
97		For spacing		3.6						1.4			(0.5)			3.9			12.3			14.3
98		For limiting		4.5			(0.1)			1.4			0.1			3.7			10			14.5
99		Education
100		Completed primary or less		4.4			(0.0)			1.4			0.1			4.6			11.8			13.9
101		Secondary or more		3.5						1.4			(0.7)			2.2			7.7			(17.2)
102	Contraceptive intention
103	For spacing
104		Age
105		<25		6.7						3.2			(1.8)			4.3			17.9			17.6
106		≥25		3.1			(0.0)			1.3			0.7			2.2			10.2			12.3
107	For limiting
108		Age
109		<25		8						1.8
110		≥25		4.5			(1.0)			1.3			0.1			4			10.4			13.9
111	*Age, parity, marital status and contraceptive intention were measured at the end of the episode of contraceptive use; wealth, education and residence were measured at the time of the survey interview. (-) Not reported because there were fewer than 125 episodes of use of that method. Failure rates were calculated using the single-decrement approach. Values in parentheses indicate calculations were based on 125–249 episodes of use for that method.

DELETE_USAID

	First-year contraceptive failure rates by contraceptive methods,	Unnamed: 1
0	Method	Malawi
1		12
2	Pill	5.5
3	IUD
4	Injectable	1.4
5	Implant
6	Condom	2.6
7	Female sterilisation	0
8	Male sterilisation
9	Abstinence
10	Withdrawal	10.8
11	other traditional	11.8
12	* - is less than 125 unweighted episodes of use
13	is this Malawi 2000 DHS? (if so we probably don’t need to go that far back)

DELETE_cprev2010.csv

	cmeth	obs	ctotal	cprev	% using
0	not using	14868	23020	0.645873
1	pill	428	20262	0.0211233	0.0550990243225534
2	IUD	32	13262	0.00241291	0.00629395233709459
3	injection	4340	23020	0.188532	0.491775486939558
4	implant	289	20581	0.0140421	0.0366280544853344
5	male condiom	631	23020	0.0274109	0.0715000771403358
6	female sterilization	1720	17980	0.0956618	0.249529123633968
7	other modern	26	11454	0.00226995	0.00592104862537771
8	periodic abstinance	129	21539	0.00598914	0.0156223606686766
9	withdrawal	350	21849	0.016019	0.0417848578604033
10	other traditional	207	20891	0.00990857	0.0258460139866978

DELFert contracep proj interpol

	year	fertility	r_init_year_100	r_init_year_89.1	r_discont_year_100	r_discont_year_18.9	Unnamed: 6	secular increase in Contraception use
0	2005							Total Fertility Rate increase from WPP 2019 mediaum variant scenario ‘WPP2019_FERT_F04_TOTAL_FERTILITY’
1	2006							moved WPP fertility data for each period to midpoint year i.e. 2010-2015 is 2012
2	2007	5.73	0.829668411867365	0.861781665717319	1.20530079932688	1.03870613053434		Interpolated fertility from one 5 year period to the next by year by calculating the difference between the first and last years of the 5 year period, dividing by 5 and adding this amount, once, twice, three times and four times to the first, second, third and fourth years in betwen the first and last years of the 5 year period respectively
3	2008	5.56	0.855035971223021	0.88236658386078	1.16954143878839	1.03196428402733
4	2009	5.39	0.882003710575139	0.904249994057817	1.1337820782499	1.02522243752033
5	2010	5.22	0.910727969348659	0.927558760474584	1.0980227177114	1.01848059101332
6	2011	5.05	0.941386138613861	0.952436829976836	1.06226335717291	1.01173874450632		Calculate r_init_year and r_discont_year so that 2013 is base year (mid point of 2011-2016 is base initiation rate as per model parameters) then each year is caclulated as the ratio of 2013 fertility to that years fertility: r_init_year increases as fertility decreases and r_discont_year decreases as fertility decreases
7	2012	4.88	0.974180327868852	0.979048207600147	1.02650399663441	1.00499689799931
8	2013	4.754	1	1	1	1
9	2014	4.628	1.02722558340536	1.0220926419428	0.973496003365587	0.99500310200069		The above actually double counts the fertility reduction by both increasing initiation and decreasing discontinuation in line with fertility decline. We only want to do this once, and given only 18.9% of the 6 reasons for discontinuation are “desire to become pregnant” (see ‘drates_12m sheet) the relative changes in discontinuation rate (r_discont_year) should be scaled to only be 18.9% of those initiatlly calculated in line with fertility declines. The relative changes in initiation rate (r_init_year) should be reduced by 18.9% accordingly (i.e. scaled by 81.1%). These are the estimates of the r_init_year and r_discont_year parameters used in the model.
10	2015	4.502	1.05597512216793	1.04542192221736	0.946992006731174	0.99000620400138
11	2016	4.376	1.0863802559415	1.07009466195929	0.920488010096761	0.98500930600207
12	2017	4.25	1.11858823529412	1.09623035003415	0.893984013462348	0.98001240800276
13	2018	4.18266	1.13659728498133	1.11084408596575	0.879819099705511	0.977341843627574
14	2019	4.11532	1.15519570774569	1.12593607825536	0.865654185948675	0.974671279252387
15	2020	4.04798	1.17441291705987	1.14153019494321	0.851489272191839	0.9720007148772
16	2021	3.98064	1.19428031673299	1.15765191916038	0.837324358435002	0.969330150502013
17	2022	3.9133	1.21483147215905	1.17432848809111	0.823159444678166	0.966659586126826
18	2023	3.85422	1.23345320194488	1.18943939324192	0.810732015145141	0.964316596176039
19	2024	3.79514	1.25265471102515	1.20502076971992	0.798304585612116	0.961973606225251
20	2025	3.73606	1.27246350433344	1.22109493685026	0.785877156079091	0.959630616274464
21	2026	3.67698	1.29290885454911	1.23768564842418	0.773449726546067	0.957287626323676
22	2027	3.6179	1.31402194643301	1.25481820982247	0.761022297013042	0.954944636372889
23	2028	3.56726	1.33267549884225	1.26995493795801	0.750370214556163	0.952936359272214
24	2029	3.51662	1.35186628068998	1.28552760964889	0.739718132099285	0.950928082171539
25	2030	3.46598	1.37161783968748	1.30155533306796	0.729066049642407	0.948919805070864
26	2031	3.41534	1.39195512013445	1.31805834967244	0.718413967185528	0.946911527970188
27	2032	3.3647	1.41290456801498	1.33505811948574	0.70776188472865	0.944903250869513
28	2033	3.32308	1.43060052722173	1.34941779306072	0.699007151872108	0.943252688212916
29	2034	3.28146	1.44874537553406	1.36414172499276	0.690252419015566	0.941602125556319
30	2035	3.23984	1.46735641266235	1.37924395341291	0.681497686159024	0.939951562899721
31	2036	3.19822	1.48645183883535	1.39473924719244	0.672742953302482	0.938301000243124
32	2037	3.1566	1.50605081416714	1.4106431541172	0.66398822044594	0.936650437586526
33	2038	3.12134	1.52306381233701	1.42444862786387	0.656571308371897	0.935252099305132
34	2039	3.08608	1.54046557445044	1.43856957042813	0.649154396297854	0.933853761023738
35	2040	3.05082	1.55826957998178	1.45301691994844	0.641737484223812	0.932455422742344
36	2041	3.01556	1.5764899388505	1.46780212614816	0.634320572149769	0.931057084460949
37	2042	2.9803	1.59514142871523	1.48293718059846	0.626903660075726	0.929658746179555
38	2043	2.94836	1.61242182094453	1.49695963559856	0.620185107278082	0.928392072194651
39	2044	2.91642	1.63008071539764	1.51128923237707	0.613466554480438	0.927125398209746
40	2045	2.88448	1.64813068560018	1.52593617392559	0.606748001682794	0.925858724224842
41	2046	2.85254	1.66658486822271	1.54091112020889	0.600029448885149	0.924592050239937
42	2047	2.8206	1.68545699496561	1.5562252140383	0.593310896087505	0.923325376255033
43	2048	2.79442	1.70124748606151	1.56903866455977	0.587803954564577	0.922287131892954
44	2049	2.76824	1.71733664711152	1.58209447566749	0.582297013041649	0.921248887530875
45	2050	2.74206	1.73373303282933	1.59539958922287	0.576790071518721	0.920210643168796
46	2051	2.71588	1.75044552778473	1.60896121475438	0.571283129995793	0.919172398806718
47	2052	2.6897	1.76748336245678	1.62278684248422	0.565776188472865	0.918134154444639
48	2053	2.66502	1.78385152831874	1.63606905657912	0.560584770719394	0.917155396963504
49	2054	2.64034	1.80052568987327	1.64959957584977	0.555393352965924	0.916176639482369
50	2055	2.61566	1.81751450876643	1.66338542892955	0.550201935212453	0.915197882001235
51	2056	2.59098	1.8348269766652	1.67743391225272	0.545010517458982	0.9142191245201
52	2057	2.5663	1.85247243112652	1.69175260293155	0.539819099705511	0.913240367038965
53	2058	2.54552	1.86759483327572	1.70402392182389	0.535448043752629	0.912416275448285
54	2059	2.52474	1.88296616681322	1.71649724013524	0.531076987799748	0.911592183857606
55	2060	2.50396	1.89859262927523	1.72917758695705	0.526705931846866	0.910768092266926
56	2061	2.48318	1.91448062564937	1.74207015972055	0.522334875893984	0.909944000676246
57	2062	2.4624	1.930636777128	1.75518033129986	0.517963819941102	0.909119909085566
58	2063	2.44272	1.94619113119801	1.76780216459554	0.513824148085823	0.908339441207579
59	2064	2.42304	1.96199815108294	1.78062902767139	0.509684476230543	0.907558973329591
60	2065	2.40336	1.97806404367219	1.79366595720863	0.505544804375263	0.906778505451604
61	2066	2.38368	1.99439522083501	1.80691815622272	0.501405132519983	0.905998037573616
62	2067	2.364	2.01099830795262	1.82039100098689	0.497265460664703	0.905217569695629
63	2068	2.34568	2.02670440980867	1.83313597248875	0.493411863693732	0.904491036589697
64	2069	2.32736	2.04265777533342	1.84608159011147	0.48955826672276	0.903764503483766
65	2070	2.30904	2.05886428992135	1.85923262965398	0.485704669751788	0.903037970377834
66	2071	2.29072	2.07533002724034	1.87259401969277	0.481851072780816	0.902311437271903
67	2072	2.2724	2.09206125682098	1.88617084774029	0.477997475809844	0.901584904165972
68	2073	2.25568	2.10756844942545	1.89875441109861	0.474480437526294	0.900921823733047
69	2074	2.23896	2.12330724979455	1.91152591634008	0.470963399242743	0.900258743300123
70	2075	2.22224	2.13928288573691	1.92448960565495	0.467446360959192	0.899595662867199
71	2076	2.20552	2.15550074358881	1.93764984987329	0.463929322675642	0.898932582434274
72	2077	2.1888	2.17196637426901	1.9510111533783	0.460412284392091	0.89826950200135
73	2078	2.17404	2.18671229600191	1.9629769711208	0.457307530500631	0.89768415109286
74	2079	2.15928	2.2016598125301	1.9751063762349	0.454202776609171	0.897098800184369
75	2080	2.14452	2.2168130863783	1.98740274646892	0.451098022717711	0.896513449275878
76	2081	2.12976	2.2321763954624	1.9998695532072	0.447993268826252	0.895928098367388
77	2082	2.115	2.24775413711584	2.0125103647374	0.444888514934792	0.895342747458897
78	2083	2.10182	2.26184925445566	2.0239480766826	0.44211611274716	0.894820056065001
79	2084	2.08864	2.27612226137582	2.03553014001763	0.439343710559529	0.894297364671105
80	2085	2.07546	2.29057654688599	2.04725930480946	0.436571308371897	0.893774673277209
81	2086	2.06228	2.30521558663227	2.05913839142758	0.433798906184266	0.893251981883313
82	2087	2.0491	2.32004294568347	2.07117029280498	0.431026503996635	0.892729290489417
83	2088	2.03746	2.33329734080669	2.08192578704971	0.428578039545646	0.89226767229329
84	2089	2.02582	2.34670405070539	2.09280487959341	0.426129575094657	0.891806054097163
85	2090	2.01418	2.36026571607304	2.10380971326968	0.423681110643669	0.891344435901037
86	2091	2.00254	2.37398503900047	2.11494248073404	0.42123264619268	0.89088281770491
87	2092	1.9909	2.38786478477071	2.12620542592031	0.418784181741691	0.890421199508783
88	2093	1.98146	2.39924096373381	2.13543681114968	0.416798485485907	0.890046828738041
89	2094	1.97202	2.41072605754506	2.14475657710193	0.414812789230122	0.889672457967299
90	2095	1.96258	2.42232163784406	2.15416599910956	0.412827092974337	0.889298087196557
91	2096	1.95314	2.43402930665493	2.16366637716105	0.410841396718553	0.888923716425815
92	2097	1.9437	2.44585069712404	2.17325903649957	0.408855700462768	0.888549345655073
93	2098	1.93426	2.45778747427957	2.18294532823928	0.406870004206984	0.888174974884332
94	2099	1.92482	2.46984133581322	2.19272662999969	0.404884307951199	0.88780060411359
95	2100	1.91538	2.48201401288517	2.20260434655885	0.402898611695414	0.887426233342848

DELETE_drates_12m

	drates_12m.dta from line 366 of ‘failure discontinuation switching rates.do’	Unnamed: 1	Unnamed: 2	Unnamed: 3	Unnamed: 4	Unnamed: 5	Unnamed: 6	Unnamed: 7	Unnamed: 8	Unnamed: 9	Unnamed: 10	Unnamed: 11	Unnamed: 12	Unnamed: 13
0	reason	drate_pill	drate_iud	drate_inj	drate_impl	drate_condom	drate_femalester	drate_othermod	drate_abst	drate_withdr	drate_othertrad	drate_allmeth	proportion of reasons for discontinuation (reasons 2-7)
1	Method failure	0.0231417	0	0.006368	0.00114095	0.0140531	0	0	0.00663357	0.04296383	0.05907605	0.0081373
2	Desire to become pregnant	0.09267549	0.04517375	0.08274814	0.01460992	0.08227042	0	0	0.13759984	0.10578512	0.04704581	0.06740587	0.188533754672377	only use desire to become pregnant in r_discont_year
3	Other method related reason	0.07360414	0	0.06224484	0.00335603	0.11611559	0	0.03985926	0.06447865	0.06795968	0.05579942	0.05380417	0.150489893345058
4	Side effects	0.20885516	0.05971931	0.1391904	0.04848954	0.02226939	0	0.00863496	0	0.00449986	0.02710988	0.10616946	0.296955249228869
5	Wanted more effective method	0.09024772	0.00510788	0.03149895	0.00152733	0.16699389	0	0.05648045	0.17106484	0.20376082	0.39704958	0.04848042	0.135599401219713
6	Other fertility related reasons	0.07018425	0.0085984	0.05243535	0.00206788	0.16422393	0	0.26005299	0.03137849	0.08370333	0.01356339	0.0515383	0.144152270543075
7	Other reason/DK	0.05991123	0.01461177	0.03209575	0.00519678	0.05259687	0	0.03442145	0.10270804	0.04234415	0.05694894	0.03012858	0.0842694309909075
8	All reasons	0.6186197	0.13321112	0.40658142	0.07638843	0.6185232	0	0.39944912	0.51386343	0.55101679	0.65659306	0.36566411
9	Switching	0.1309114	0.01741483	0.03638643	0.01035223	0.13720871	0	0.03186034	0.09016454	0.16545396	0.32656757	0.05074751
10	Weighted N	1038.1613	229.05157	10252.901	2630.9365	1380.9797	1042.2103	38.700111	75.851982	270.10742	266.97922	17225.88
11	Unweighted N	963	205	9231	2634	1332	802	38	73	282	223	15783	1

DEL_Contracep proj (Table 5.1)

	year	fertility	r_init_year	r_discont_year
0	2010	5.22	0.927559	1.01848
1	2011	5.05	0.952437	1.01174
2	2012	4.88	0.979048	1.005
3	2013	4.754	1	1
4	2014	4.628	1.02209	0.995003
5	2015	4.502	1.04542	0.990006
6	2016	4.376	1.07009	0.985009
7	2017	4.25	1.09623	0.980012
8	2018	4.18266	1.11084	0.977342
9	2019	4.11532	1.12594	0.974671
10	2020	4.04798	1.14153	0.972001
11	2021	3.98064	1.15765	0.96933
12	2022	3.9133	1.17433	0.96666
13	2023	3.85422	1.18944	0.964317
14	2024	3.79514	1.20502	0.961974
15	2025	3.73606	1.22109	0.959631
16	2026	3.67698	1.23769	0.957288
17	2027	3.6179	1.25482	0.954945
18	2028	3.56726	1.26995	0.952936
19	2029	3.51662	1.28553	0.950928
20	2030	3.46598	1.30156	0.94892
21	2031	3.41534	1.31806	0.946912
22	2032	3.3647	1.33506	0.944903
23	2033	3.32308	1.34942	0.943253
24	2034	3.28146	1.36414	0.941602
25	2035	3.23984	1.37924	0.939952
26	2036	3.19822	1.39474	0.938301
27	2037	3.1566	1.41064	0.93665
28	2038	3.12134	1.42445	0.935252
29	2039	3.08608	1.43857	0.933854
30	2040	3.05082	1.45302	0.932455
31	2041	3.01556	1.4678	0.931057
32	2042	2.9803	1.48294	0.929659
33	2043	2.94836	1.49696	0.928392
34	2044	2.91642	1.51129	0.927125
35	2045	2.88448	1.52594	0.925859
36	2046	2.85254	1.54091	0.924592
37	2047	2.8206	1.55623	0.923325
38	2048	2.79442	1.56904	0.922287
39	2049	2.76824	1.58209	0.921249
40	2050	2.74206	1.5954	0.920211
41	2051	2.71588	1.60896	0.919172
42	2052	2.6897	1.62279	0.918134
43	2053	2.66502	1.63607	0.917155
44	2054	2.64034	1.6496	0.916177
45	2055	2.61566	1.66339	0.915198
46	2056	2.59098	1.67743	0.914219
47	2057	2.5663	1.69175	0.91324
48	2058	2.54552	1.70402	0.912416
49	2059	2.52474	1.7165	0.911592
50	2060	2.50396	1.72918	0.910768
51	2061	2.48318	1.74207	0.909944
52	2062	2.4624	1.75518	0.90912
53	2063	2.44272	1.7678	0.908339
54	2064	2.42304	1.78063	0.907559
55	2065	2.40336	1.79367	0.906779
56	2066	2.38368	1.80692	0.905998
57	2067	2.364	1.82039	0.905218
58	2068	2.34568	1.83314	0.904491
59	2069	2.32736	1.84608	0.903765
60	2070	2.30904	1.85923	0.903038
61	2071	2.29072	1.87259	0.902311
62	2072	2.2724	1.88617	0.901585
63	2073	2.25568	1.89875	0.900922
64	2074	2.23896	1.91153	0.900259
65	2075	2.22224	1.92449	0.899596
66	2076	2.20552	1.93765	0.898933
67	2077	2.1888	1.95101	0.89827
68	2078	2.17404	1.96298	0.897684
69	2079	2.15928	1.97511	0.897099
70	2080	2.14452	1.9874	0.896513
71	2081	2.12976	1.99987	0.895928
72	2082	2.115	2.01251	0.895343
73	2083	2.10182	2.02395	0.89482
74	2084	2.08864	2.03553	0.894297
75	2085	2.07546	2.04726	0.893775
76	2086	2.06228	2.05914	0.893252
77	2087	2.0491	2.07117	0.892729
78	2088	2.03746	2.08193	0.892268
79	2089	2.02582	2.0928	0.891806
80	2090	2.01418	2.10381	0.891344
81	2091	2.00254	2.11494	0.890883
82	2092	1.9909	2.12621	0.890421
83	2093	1.98146	2.13544	0.890047
84	2094	1.97202	2.14476	0.889672
85	2095	1.96258	2.15417	0.889298
86	2096	1.95314	2.16367	0.888924
87	2097	1.9437	2.17326	0.888549
88	2098	1.93426	2.18295	0.888175
89	2099	1.92482	2.19273	0.887801
90	2100	1.91538	2.2026	0.887426

DEL_consumables

	contraception	Intervention_Pkg	Intervention_Package_Code	Items	Item_Code	Expected_Units_Per_Case	Unit_Cost	Available_Facility_Level_0	Available_Facility_Level_1	Available_Facility_Level_2	Available_Facility_Level_3
0	pill	Pill	0	Levonorgestrel 0.0375 mg, cycle	0	7.5	48.2521	0.85	0.9	0.95	0.99
1	pill	Pill	0	Levonorgestrel 0.15 mg + Ethinyl estradiol 30 mcg (Microgynon), cycle	1	7.5	53.3501	0.85	0.9	0.95	0.99
2	IUD	IUD	3	Gloves, exam, latex, disposable, pair	4	3	31.9087	0.85	0.9	0.95	0.99
3	IUD	IUD	3	IUD, Copper T-380A	7	1	19.3922	0.85	0.9	0.95	0.99
4	injections	Injectable	2	Depot-Medroxyprogesterone Acetate 150 mg - 3 monthly	3	4	50.9439	0.85	0.9	0.95	0.99
5	injections	Injectable	2	Gloves, exam, latex, disposable, pair	4	4	31.9087	0.85	0.9	0.95	0.99
6	injections	Injectable	2	Povidone iodine, solution, 10 %, 5 ml per injection	5	4	2.00634	0.85	0.9	0.95	0.99
7	injections	Injectable	2	Syringe, Autodisable SoloShot IX	6	4	5.4264	0.85	0.9	0.95	0.99
8	implant	Implant	4	Gloves, exam, latex, disposable, pair	4	2	31.9087	0.85	0.9	0.95	0.99
9	implant	Implant	4	Lidocaine HCl (in dextrose 7.5%), ampoule 2 ml	8	2	52.0006	0.85	0.9	0.95	0.99
10	implant	Implant	4	Povidone iodine, solution, 10 %, 5 ml per injection	5	2	2.00634	0.85	0.9	0.95	0.99
11	implant	Implant	4	Syringe, needle + swab	9	2	7.7469	0.85	0.9	0.95	0.99
12	implant	Implant	4	Trocar	10	0.1	1204	0.85	0.9	0.95	0.99
13	implant	Implant	4	Needle suture intestinal round bodied ½ circle trocar_6_CMST	11	0.2	115.996	0.85	0.9	0.95	0.99
14	implant	Implant	4	Jadelle (implant), box of 2_CMST	12	0.5	447.221	0.85	0.9	0.95	0.99
15	implant	Implant	4	Implanon (Etonogestrel 68 mg)	13	0.5	484.97	0.85	0.9	0.95	0.99
16	male_condom	Male condom	1	Condom, male	2	120	20.9702	0.85	0.9	0.95	0.99
17	female_sterilization	Female sterilization	5	Atropine sulphate, injection, 1 mg in 1 ml ampoule	14	1	17.9999	0.85	0.9	0.95	0.99
18	female_sterilization	Female sterilization	5	Diazepam, injection, 5 mg/ml, in 2 ml ampoule	15	1	130.476	0.85	0.9	0.95	0.99
19	female_sterilization	Female sterilization	5	Lidocaine, injection, 1 % in 20 ml vial	16	1	149.997	0.85	0.9	0.95	0.99
20	female_sterilization	Female sterilization	5	Lidocaine, spray, 10%, 500 ml bottle	17	0.02	1244	0.85	0.9	0.95	0.99
21	female_sterilization	Female sterilization	5	Syringe, needle + swab	9	3	7.7469	0.85	0.9	0.95	0.99
22	female_sterilization	Female sterilization	5	Gauze pad, 10 x 10 cm, sterile	18	2	14.7227	0.85	0.9	0.95	0.99
23	female_sterilization	Female sterilization	5	Needle, suture, assorted sizes, round body	19	3	600.003	0.85	0.9	0.95	0.99
24	female_sterilization	Female sterilization	5	Suture, catgut, chromic, 0, 150 cm	20	3	3744	0.85	0.9	0.95	0.99
25	female_sterilization	Female sterilization	5	Tape, adhesive, 2.5 cm wide, zinc oxide, 5 m roll	21	1	426.101	0.85	0.9	0.95	0.99
26	female_sterilization	Female sterilization	5	Gloves, surgeon’s, latex, disposable, sterile, pair	22	2	137.459	0.85	0.9	0.95	0.99
27	female_sterilization	Female sterilization	5	Paracetamol, tablet, 500 mg	23	8	4.3554	0.85	0.9	0.95	0.99
28	female_sterilization	Female sterilization	5	Povidone iodine, solution, 10 %, 5 ml per injection	5	2	2.00634	0.85	0.9	0.95	0.99
29	other_modern	Female Condom	7	Female Condom_Each_CMST	25	120	33.7222	0.85	0.9	0.95	0.99

DELETE_interventions

	contraception	multiplier	cost_per_year_multiplier	PPFP_multiplier	cost_cost_per_year_PPFP
0	pill	1	0	1	0
1	IUD	1	0	1	0
2	injections	1	0	1	0
3	implant	1	0	1	0
4	male_condom	1	0	1	0
5	female_sterilization	1	0	1	0
6	other_modern	1	0	1	0
7	periodic_abstinence	1	0	1	0
8	withdrawal	1	0	1	0
9	other_traditional	1	0	1	0