Population and Household Time Series Dataset 1974-1981-1991
Bangladesh, 1974 - 1991
BANGLADESH BUREAU OF STATISTICS
Identification
idno
BGD-BBS-PTS-1974-81-91-v01
Title
Population and Household Time Series Dataset 1974-1981-1991
Country
| Name | Country code |
|---|---|
| Bangladesh | BGD |
Abstract
A time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Thus it is a sequence of discrete-time data.
Time series data have a natural temporal ordering. This makes time series analysis distinct from cross-sectional studies, in which there is no natural ordering of the observations (e.g. explaining people's wages by reference to their respective education levels, where the individuals' data could be entered in any order). Time series analysis is also distinct from spatial data analysis where the observations typically relate to geographical locations (e.g. accounting for house prices by the location as well as the intrinsic characteristics of the houses). A stochastic model for a time series will generally reflect the fact that observations close together in time will be more closely related than observations further apart. In addition, time series models will often make use of the natural one-way ordering of time so that values for a given period will be expressed as deriving in some way from past values, rather than from future values .
We work using some value (ex. Household, Sub-Division, Total Male, Total Female)
Population and Household Time Series Dataset 1974-1991
File: BGD-BBS-PTS-1974-1991-v01.Nesstar
Source: Bangladesh Bureau of Statistics, BBS. Ministry of Planning
This is one file for Population and Household Time Series Dataset 1974 to 1991. Each file contains Population, Household, Division, Sub-division, Zila, Total Male, Total Female, Literacy and Illiteracy.
Data fields (in order of which they appear):
POPULATION
HOUSEHOLD
SUBDIVISION
ZILA
TOT_MALE
TOT_FEMALE
LITERACY
ILETERACY
The key for Zila_91 Subdivision code is as follows:
13 = Chandpur Subdivision
84 = Rangamati Subdivision
84 = Ramgarh Subdivision
27 = Dinajpur District
50 = Kushtia Sadar Subdivision
61 = Mymensing Sadar (S) Subdivision
49 = Kurigram Subdivision
91 = Sylhet District
93 = Tangail District
Bakerganj District
19 = Comilla Sadar North Subdivision
Chittagong Hill Tracts District
59 = Munshigonj Subdivision
41 = Jessore Sadar Subdivision
57 = Meherpur Subdivision
47 = Khulna District
75 = Noakhali District
88 = Sirajganj Subdivision
4 = Barguna Subdivision
70 = Nawabganj Subdivision
81 = Rajshahi Sadar Subdivision
91 = Sylhet Sadar Subdivision
15 = Chittagong Sadar (S) Subdivision
33 = Dhaka Sadar North Subdivision
Comilla District
94 = Thakurgaon Subdivision
26 = Dhaka District
41 = Jessore District
50 = Kushtia District
78 = Patuakhali Sadar Subdivision
78 = Patuakhali District
73 = Nilphamari Subdivision
3 = Bandarbon Subdivision
56 = Manikgonj Subdivision
44 = Jhenaidah Subdivision
87 = Satkhira Subdivision
65 = Narail Subdivision
47 = Khulna Sadar Subdivision
1 = Bagerhat Subdivision
18 = Chuadanga Subdivision
61 = Mymenshing Sadar (N) Subdivision
39 = Jamalpur Subdivision
85 = Rangpur Sadar Subdivision
42 = Jhalkati Subdivision
6 = Barisal Sadar (South) Subdivision
21 = Comilla Sadar South Subdivision
29 = Faridpur Sadar Subdivision
76 = Pabna Sadar Subdivision
69 = Natore Subdivision
32 = Gaibandha Subdivision
58 = Moulavi Bazar Subdivision
79 = Perojpur Subdivision
25 = Brahmanbaria Subdivision
27 = Dinajpur Sadar Subdivision
35 = Gopalganj Subdivision
55 = Magura Subdivision
48 = Kishoreganj Subdivision
64 = Naogaon Subdivision
6 = Barisal Sadar North Subdivision
15 = Chittagong Sadar North Subdivision
22 = Cox's Bazar Subdivision
15 = Chittagang District
67 = Narayangonj Subdivision
34 = Goalundo Subdivision
72 = Netrokona Subdivision
75 = Noakhali Sadar Subdivision
30 = Feni Subdivision
93 = Tangail Subdivision
90 = Sunamganj Subdivision
7 = Bhola Subdivision
26 = Dhaka Sadar South Subdivision
54 = Madaripur Subdivision
29 = Faridpur District
48 = Mymensingh District
76 = Pabna District
81 = Rajshahi District
36 = Habiganj Subdivision
85 = Rangpur District
The key for Zila code is as follows:
93 = TANGAIL
90 = SUNAMGONJ
70 = NAWABGANJ
81 = RAJSHAHI
88 = SERAJGONJ
84 = RANGAMATI
59 = MUNSHIGANJ
38 = JAIPURHAT
49 = KURIGRAM
39 = JAMALPUR
18 = CHUADANGA
65 = NARAIL
61 = MYMENSINGH
19 = COMILLA
26 = DHAKA
1 = BAGERHAT
44 = JHENAIDAH
73 = NILPHAMARI
78 = PATUAKHALI
75 = NOAKHALI
32 = GAIBANDHA
6 = BARISAL
12 = BRAHMANBARIA
22 = COX'S BAZAR
33 = GAZIPUR
56 = MANIKGANJ
85 = RANGPUR
29 = FARIDPUR
67 = NARAYANGANJ
57 = MEHERPUR
77 = PANCHAGARH
36 = HOBIGONJ
76 = PABNA
13 = CHANDPUR
72 = NETROKONA
50 = KUSHTIA
4 = BARGUNA
42 = JHALOKATI
30 = FENI
89 = SHERPUR
48 = KISHOREGANJ
47 = KHULNA
94 = THAKURGAON
58 = MOULVIBAZAR
41 = JESSORE
10 = BOGRA
52 = LALMONIRHAT
9 = BHOLA
79 = PEROJPUR
27 = DINAJPUR
15 = CHITTAGONG
46 = KHAGRACHARI
51 = LAKSHMIPUR
87 = SATKHIRA
35 = GOPALGONJ
86 = SARIATPUR
91 = SYLHET
69 = NATORE
3 = BANDARBAN
54 = MADARIPUR
68 = NARSINGDI
55 = MAGURA
64 = NAOGAON
Time series data have a natural temporal ordering. This makes time series analysis distinct from cross-sectional studies, in which there is no natural ordering of the observations (e.g. explaining people's wages by reference to their respective education levels, where the individuals' data could be entered in any order). Time series analysis is also distinct from spatial data analysis where the observations typically relate to geographical locations (e.g. accounting for house prices by the location as well as the intrinsic characteristics of the houses). A stochastic model for a time series will generally reflect the fact that observations close together in time will be more closely related than observations further apart. In addition, time series models will often make use of the natural one-way ordering of time so that values for a given period will be expressed as deriving in some way from past values, rather than from future values .
We work using some value (ex. Household, Sub-Division, Total Male, Total Female)
Population and Household Time Series Dataset 1974-1991
File: BGD-BBS-PTS-1974-1991-v01.Nesstar
Source: Bangladesh Bureau of Statistics, BBS. Ministry of Planning
This is one file for Population and Household Time Series Dataset 1974 to 1991. Each file contains Population, Household, Division, Sub-division, Zila, Total Male, Total Female, Literacy and Illiteracy.
Data fields (in order of which they appear):
POPULATION
HOUSEHOLD
SUBDIVISION
ZILA
TOT_MALE
TOT_FEMALE
LITERACY
ILETERACY
The key for Zila_91 Subdivision code is as follows:
13 = Chandpur Subdivision
84 = Rangamati Subdivision
84 = Ramgarh Subdivision
27 = Dinajpur District
50 = Kushtia Sadar Subdivision
61 = Mymensing Sadar (S) Subdivision
49 = Kurigram Subdivision
91 = Sylhet District
93 = Tangail District
Bakerganj District
19 = Comilla Sadar North Subdivision
Chittagong Hill Tracts District
59 = Munshigonj Subdivision
41 = Jessore Sadar Subdivision
57 = Meherpur Subdivision
47 = Khulna District
75 = Noakhali District
88 = Sirajganj Subdivision
4 = Barguna Subdivision
70 = Nawabganj Subdivision
81 = Rajshahi Sadar Subdivision
91 = Sylhet Sadar Subdivision
15 = Chittagong Sadar (S) Subdivision
33 = Dhaka Sadar North Subdivision
Comilla District
94 = Thakurgaon Subdivision
26 = Dhaka District
41 = Jessore District
50 = Kushtia District
78 = Patuakhali Sadar Subdivision
78 = Patuakhali District
73 = Nilphamari Subdivision
3 = Bandarbon Subdivision
56 = Manikgonj Subdivision
44 = Jhenaidah Subdivision
87 = Satkhira Subdivision
65 = Narail Subdivision
47 = Khulna Sadar Subdivision
1 = Bagerhat Subdivision
18 = Chuadanga Subdivision
61 = Mymenshing Sadar (N) Subdivision
39 = Jamalpur Subdivision
85 = Rangpur Sadar Subdivision
42 = Jhalkati Subdivision
6 = Barisal Sadar (South) Subdivision
21 = Comilla Sadar South Subdivision
29 = Faridpur Sadar Subdivision
76 = Pabna Sadar Subdivision
69 = Natore Subdivision
32 = Gaibandha Subdivision
58 = Moulavi Bazar Subdivision
79 = Perojpur Subdivision
25 = Brahmanbaria Subdivision
27 = Dinajpur Sadar Subdivision
35 = Gopalganj Subdivision
55 = Magura Subdivision
48 = Kishoreganj Subdivision
64 = Naogaon Subdivision
6 = Barisal Sadar North Subdivision
15 = Chittagong Sadar North Subdivision
22 = Cox's Bazar Subdivision
15 = Chittagang District
67 = Narayangonj Subdivision
34 = Goalundo Subdivision
72 = Netrokona Subdivision
75 = Noakhali Sadar Subdivision
30 = Feni Subdivision
93 = Tangail Subdivision
90 = Sunamganj Subdivision
7 = Bhola Subdivision
26 = Dhaka Sadar South Subdivision
54 = Madaripur Subdivision
29 = Faridpur District
48 = Mymensingh District
76 = Pabna District
81 = Rajshahi District
36 = Habiganj Subdivision
85 = Rangpur District
The key for Zila code is as follows:
93 = TANGAIL
90 = SUNAMGONJ
70 = NAWABGANJ
81 = RAJSHAHI
88 = SERAJGONJ
84 = RANGAMATI
59 = MUNSHIGANJ
38 = JAIPURHAT
49 = KURIGRAM
39 = JAMALPUR
18 = CHUADANGA
65 = NARAIL
61 = MYMENSINGH
19 = COMILLA
26 = DHAKA
1 = BAGERHAT
44 = JHENAIDAH
73 = NILPHAMARI
78 = PATUAKHALI
75 = NOAKHALI
32 = GAIBANDHA
6 = BARISAL
12 = BRAHMANBARIA
22 = COX'S BAZAR
33 = GAZIPUR
56 = MANIKGANJ
85 = RANGPUR
29 = FARIDPUR
67 = NARAYANGANJ
57 = MEHERPUR
77 = PANCHAGARH
36 = HOBIGONJ
76 = PABNA
13 = CHANDPUR
72 = NETROKONA
50 = KUSHTIA
4 = BARGUNA
42 = JHALOKATI
30 = FENI
89 = SHERPUR
48 = KISHOREGANJ
47 = KHULNA
94 = THAKURGAON
58 = MOULVIBAZAR
41 = JESSORE
10 = BOGRA
52 = LALMONIRHAT
9 = BHOLA
79 = PEROJPUR
27 = DINAJPUR
15 = CHITTAGONG
46 = KHAGRACHARI
51 = LAKSHMIPUR
87 = SATKHIRA
35 = GOPALGONJ
86 = SARIATPUR
91 = SYLHET
69 = NATORE
3 = BANDARBAN
54 = MADARIPUR
68 = NARSINGDI
55 = MAGURA
64 = NAOGAON
Kind of Data
Census/enumeration data [cen]
Unit of Analysis
Time series analysis may be divided into two classes: frequency-domain methods and time-domain methods. The former include spectral analysis and wavelet analysis; the latter include auto-correlation and cross-correlation analysis. In the time domain, correlation and analysis can be made in a filter-like manner using scaled correlation, thereby mitigating the need to operate in the frequency domain.
Version
Version Date
1992-07
Coverage
Unit of Analysis
Time series analysis may be divided into two classes: frequency-domain methods and time-domain methods. The former include spectral analysis and wavelet analysis; the latter include auto-correlation and cross-correlation analysis. In the time domain, correlation and analysis can be made in a filter-like manner using scaled correlation, thereby mitigating the need to operate in the frequency domain.
Producers and sponsors
Authoring entity/Primary investigators
| Agency Name | Affiliation |
|---|---|
| BANGLADESH BUREAU OF STATISTICS | Statistics Division, Ministry of Planning |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| Statistics Division | SD |
Data Collection
Dates of Data Collection (YYYY/MM/DD)
| Start date | End date |
|---|---|
| 1974-01-06 | 1974-01-16 |
| 1981-03-07 | 1981-03-18 |
| 1991-02-05 | 1991-02-13 |
Mode of data collection
Other [oth]
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Statistics Division, Ministry of Planning | SD | Ministry of Planning |
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Metadata production
Document ID
DDI-BGD-BBS-PTS-1974-81-91-v01
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| BANGLADESH BUREAU OF STATISTICS | BBS | Statistics Division, Ministry of Planning | Documentation of the study |