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    Home / Central Data Catalog / DDI-IND-MOSPI-NSSO-38RND-SCH1.0-1983 / variable [V162]
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Household Consumer Expenditure, January-December, 1983
NSS 38th Round

India
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Reference ID
DDI-IND-MOSPI-NSSO-38Rnd-Sch1.0-1983
Producer(s)
National Sample Survey Office
Collections
Household Consumption Expenditure
Metadata
DDI/XML JSON
Created on
Jan 15, 2018
Last modified
Mar 26, 2019
Page views
188367
Downloads
6470
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  • Data files
  • Block 6pt1 -
    Monthly
    household
    expenditure on
    clothing
  • Block 6pt2 -
    Household
    expenditure on
    clothing
  • Block 7pt1 -
    Monthly
    household
    expenditure on
    footwear
  • Block 7pt2 -
    Household
    expenditure on
    footwear
  • Block 9pt1 -
    Monthly
    household
    expenditure for
    purchase of
    durables
  • Block 9pt1 -
    Household
    expenditure for
    purchase of
    durables
  • Block 4 - Food
    intake
  • Block 9pt2 -
    Household
    expenditure for
    construction &
    repair of
    durables
  • Blocks 1,3 and
    10- Household
    Characteristics
  • Block 5 -
    Monthly
    household
    expenditure on
    food and non
    food items
  • Block 8 -
    Monthly
    household
    expenditure on
    misc
  • Block 9pt2 -
    Monthly
    household
    expenditure for
    construction &
    repair of
    durables

Block 9.1 Item Code (B9_1_q8)

Data file: Block 9pt1 - Household expenditure for purchase of durables

Overview

Valid: 319833
Invalid: 0
Type: Discrete
Start: 47
End: 49
Width: 3
Range: -
Format: character

Questions and instructions

Literal question
Block 9.1 Item Code
Categories
Value Category Cases
401 bedstead 2642
0.8%
402 almirah 485
0.2%
403 dressing table 127
0%
404 stool, bench 432
0.1%
405 chair 1359
0.4%
406 coach. sofa 183
0.1%
407 table, desk 702
0.2%
408 suitcase, trunk, box, handbag and other travel goods 1592
0.5%
411 foam, ruhber cushion(dunlo pillow type) 91
0%
412 carpet and other floor matting 613
0.2%
413 paintings, drawings, engravings etc. 95
0%
419 other furniture & fixtures 1078
0.3%
421 harmonium 45
0%
422 piano 6
0%
423 gramophone & record player 24
0%
424 radio 1381
0.4%
425 radiogram 47
0%
426 television 308
0.1%
427 camera & other photographic equipment 27
0%
428 tape recorder 374
0.1%
431 record 171
0.1%
438 other musical instruments 112
0%
439 other goods for recreation, entertainment and hobbies 178
0.1%
441 gold ornaments 1228
0.4%
442 silver ornaments 1000
0.3%
443 jewels, pearls 20
0%
449 other ornaments 743
0.2%
451 stainless steel utensils 13975
4.4%
452 bell metal utensils 2208
0.7%
453 copper utensils 862
0.3%
454 aluminium utensils 15750
4.9%
455 iron utensils 3180
1%
456 brass utensils 4878
1.5%
457 enamel utensils 644
0.2%
458 crockery 7336
2.3%
459 other household utensils 3632
1.1%
461 electric fan 899
0.3%
462 lantern, lamp 2036
0.6%
463 electric iron, heater, toaster, other electrical heating appliances 217
0.1%
464 stove (pressure type/wick type) 649
0.2%
465 pressure cooker 373
0.1%
466 sewing machine 263
0.1%
467 washing machine 28
0%
468 refrigerator 101
0%
471 air conditioner, air cooler 25
0%
479 other cooking & household appliances 791
0.2%
481 bicycle 1949
0.6%
482 motor cycle, scooter 169
0.1%
483 motor car 22
0%
484 tyres & tubes 3908
1.2%
485 perambulator 69
0%
489 other transport equipment 244
0.1%
491 hearing aids 13
0%
492 glass eyes artificial limbs, orthopaedic braces & supports 22
0%
493 surgical belts, trusses & supports 4
0%
494 thermometer 51
0%
499 other therapeutic appliances & equipment 23
0%
501 spectacles 634
0.2%
502 clock, watch 2026
0.6%
503 umbrella, raincoat 4453
1.4%
504 typewriter 35
0%
505 electric hair drier & shaver 20
0%
509 any other personal goods 445
0.1%
511 residential building and land (cost of repairs only) 620
0.2%
519 other durables (specify) 390
0.1%
531 books, journals 45689
14.3%
532 tuition fees (school/college) 18459
5.8%
533 private tutor 4482
1.4%
534 stationary 41751
13.1%
539 other education expenses 23490
7.3%
540 club fee 1125
0.4%
550 medical 95792
30%
599 Invalid 1038
0.3%
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.
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