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Labor Force Survey January 1991
Philippines, 1991
Reference ID
PHL-NSO-LFS-1991Q1-v01
Producer(s)
National Statistics Office
Collection(s)
Metadata
Related Microdata
Created on
Sep 14, 2021
Last modified
Sep 21, 2021
Page views
18447
Downloads
311
Domain (DOMAIN)
Data File: 1991jan
Overview
vald
105198
invd
31688
min
1
max
99
Interval
discrete
Decimal
0
range
1 - 148
Questions and instructions
Value | Category | Cases | |
---|---|---|---|
1 | 438 | 0.4% | |
2 | 389 | 0.4% | |
3 | 669 | 0.6% | |
4 | 671 | 0.6% | |
5 | 1479 | 1.4% | |
6 | 721 | 0.7% | |
7 | 444 | 0.4% | |
8 | 760 | 0.7% | |
9 | 272 | 0.3% | |
10 | 2381 | 2.3% | |
11 | 798 | 0.8% | |
12 | 1463 | 1.4% | |
13 | 1486 | 1.4% | |
14 | 2459 | 2.3% | |
15 | 1314 | 1.2% | |
16 | 652 | 0.6% | |
17 | 2202 | 2.1% | |
18 | 360 | 0.3% | |
19 | 941 | 0.9% | |
20 | 340 | 0.3% | |
21 | 2061 | 2% | |
22 | 3224 | 3.1% | |
23 | 1534 | 1.5% | |
24 | 1110 | 1.1% | |
25 | 646 | 0.6% | |
26 | 548 | 0.5% | |
27 | 412 | 0.4% | |
28 | 782 | 0.7% | |
29 | 787 | 0.7% | |
30 | 2415 | 2.3% | |
31 | 1572 | 1.5% | |
32 | 268 | 0.3% | |
33 | 904 | 0.9% | |
34 | 2723 | 2.6% | |
35 | 597 | 0.6% | |
36 | 776 | 0.7% | |
37 | 2664 | 2.5% | |
38 | 1130 | 1.1% | |
39 | 3742 | 3.6% | |
40 | 362 | 0.3% | |
41 | 1003 | 1% | |
42 | 650 | 0.6% | |
43 | 947 | 0.9% | |
44 | 281 | 0.3% | |
45 | 3143 | 3% | |
46 | 1426 | 1.4% | |
47 | 1137 | 1.1% | |
48 | 542 | 0.5% | |
49 | 2173 | 2.1% | |
50 | 496 | 0.5% | |
51 | 586 | 0.6% | |
52 | 879 | 0.8% | |
53 | 888 | 0.8% | |
54 | 2239 | 2.1% | |
55 | 3596 | 3.4% | |
56 | 2207 | 2.1% | |
57 | 297 | 0.3% | |
58 | 1546 | 1.5% | |
59 | 377 | 0.4% | |
60 | 777 | 0.7% | |
61 | 221 | 0.2% | |
62 | 893 | 0.8% | |
63 | 1687 | 1.6% | |
64 | 447 | 0.4% | |
65 | 703 | 0.7% | |
66 | 554 | 0.5% | |
67 | 821 | 0.8% | |
68 | 734 | 0.7% | |
69 | 1386 | 1.3% | |
70 | 270 | 0.3% | |
71 | 656 | 0.6% | |
72 | 1050 | 1% | |
73 | 1808 | 1.7% | |
74 | 0 | 0% | |
75 | 0 | 0% | |
76 | 0 | 0% | |
77 | 380 | 0.4% | |
78 | 0 | 0% | |
79 | 0 | 0% | |
80 | 0 | 0% | |
81 | 759 | 0.7% | |
82 | 3398 | 3.2% | |
83 | 1706 | 1.6% | |
84 | 1822 | 1.7% | |
85 | 573 | 0.5% | |
86 | 4150 | 3.9% | |
90 | 437 | 0.4% | |
91 | 430 | 0.4% | |
92 | 791 | 0.8% | |
93 | 739 | 0.7% | |
94 | 1238 | 1.2% | |
95 | 656 | 0.6% | |
96 | 459 | 0.4% | |
97 | 638 | 0.6% | |
98 | 1514 | 1.4% | |
99 | 592 | 0.6% | |
100 | 0 | 0% | |
101 | 0 | 0% | |
102 | 0 | 0% | |
103 | 0 | 0% | |
104 | 0 | 0% | |
105 | 0 | 0% | |
106 | 0 | 0% | |
107 | 0 | 0% | |
108 | 0 | 0% | |
109 | 0 | 0% | |
110 | 0 | 0% | |
111 | 0 | 0% | |
112 | 0 | 0% | |
113 | 0 | 0% | |
114 | 0 | 0% | |
115 | 0 | 0% | |
116 | 0 | 0% | |
117 | 0 | 0% | |
118 | 0 | 0% | |
119 | 0 | 0% | |
120 | 0 | 0% | |
121 | 0 | 0% | |
122 | 0 | 0% | |
123 | 0 | 0% | |
124 | 0 | 0% | |
125 | 0 | 0% | |
126 | 0 | 0% | |
127 | 0 | 0% | |
128 | 0 | 0% | |
129 | 0 | 0% | |
130 | 0 | 0% | |
131 | 0 | 0% | |
132 | 0 | 0% | |
133 | 0 | 0% | |
134 | 0 | 0% | |
135 | 0 | 0% | |
136 | 0 | 0% | |
137 | 0 | 0% | |
138 | 0 | 0% | |
139 | 0 | 0% | |
140 | 0 | 0% | |
141 | 0 | 0% | |
142 | 0 | 0% | |
143 | 0 | 0% | |
144 | 0 | 0% | |
145 | 0 | 0% | |
146 | 0 | 0% | |
147 | 0 | 0% | |
148 | 0 | 0% | |
Sysmiss | 31688 |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
Description
A domain is referred to as a subdivision of the country in which estimates with adequate level of precision is generated.
Concept
Name | Vocabulary | URI |
---|---|---|
The urban and rural areas of each province are the principal domains of the survey. In addition, the urban and rural areas of cities with a population of 150,000 or more as of 1980 are also made domains of the survey. These cities are the four cities in Metro Manila (Manila, Quezon City, Pasay and Caloocan), and the cities of Angeles, Olongapo, Bacolod, Iloilo, Cebu, Zamboanga, Butuan, Cagayan de Oro, Davao and Iligan. The rest of Metro Manila, i.e., Pasig, Makati, and the 11 other municipalities, are treated as three separate domains. In the case of Makati, six exclusive villages are identified and samples are selected using a different scheme. These villages are Forbes Park, Bel-Air, Dasmarinas, San Lorenzo, Urdaneta and Magallanes. |