Informal Cross Boarder Trade 2011
Kenya, 2011
Kenya National Bureau of Statistics (KNBS)
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June 01, 2022
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June 01, 2022
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Identification
Survey ID Number
KEN-KNBS-ICBT-2011-v1.0
Title
Informal Cross Boarder Trade 2011
Translated Title
No Translation
Country
| Name | Country code |
|---|---|
| KENYA | KEN |
Study type
Informal Sector Survey [hh/iss]
Series Information
The survey is carried out yearly in Kenya. The last one was carried out in June 2013
Abstract
External Trade Statistics are macro-economic statistics compiled from the normal administrative process of customs authorities and other agencies. Trade information is crucial in monitoring the flow of resources across international boundaries and is used for compilation of Balance of Payments and National Accounts Statistics.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Individuals
Version
Version Description
Version 1.0 (Edited)
Version Date
2011-06-30
Version Notes
Although this is the first round of the survey, it is supposed to be a quarterly survey. This round is done in the second quarter. (April - June)
Scope
Notes
The survey has only two major questionnaire as follows:
1. IMPORTS KENYA NATIONAL BUREAU OF STATISTICS
2. EXPORTS KENYA NATIONAL BUREAU OF STATISTICS
1. IMPORTS KENYA NATIONAL BUREAU OF STATISTICS
2. EXPORTS KENYA NATIONAL BUREAU OF STATISTICS
Topics
| Topic | Vocabulary |
|---|---|
| Trade | World Bank |
| Private Sector and Trade | World Bank |
| Export Competitiveness | World Bank |
Coverage
Geographic Coverage
Kenyan Boarder Points
Universe
National
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Kenya National Bureau of Statistics (KNBS) | Ministry of Planning and Devolution |
Producers
| Name | Affiliation |
|---|---|
| Kenya National Bureau of Statistics | Planning and Devolution |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Ministry of Trade | MOT | Funding |
| Central Bank of Kenya | CBK | Funding |
| Kenya Revenue Authority | KRA | Funding |
Sampling
Sampling Procedure
The Up-rating Model
Under assumption (a) above, for industrial and other products with constant trade flows, during the month of June, 2011with n days (i.e n=30 days) and having a daily average value of industrial and other products of µi, the total value of inflows/outflows of industrial and other products during the month of June, 2011 were mathematically presented as: Ai= µi -------------------------------------------------- (1) Equation (1) shows that to get the monthly value estimates for the month of June, 2011, the average daily values of industrial and other products from survey figures were multiplied by number of days in the month of June, 2011. Hence, equation (1) represents estimated total value of informal exports/ informal imports of the industrial and other products traded during the month of June, 2011. Therefore, the estimated total value of informal exports/ informal imports of the industrial and other products traded during the period of three months (April-June, 2011) were expressed mathematically as: AT = Where i = month and AT are total export/import flow for industrial and other product categories. To up rate informal trade flows of agricultural and other agricultural products during the month of June, 2011 of the survey, assumption (b) was taken into consideration. The monthly aggregate of agricultural trade flows was expressed as the sum of product of the number of particular days in the month of June, 2011. Let dj represent the number of particular days in the month of June, 2011, say four Mondays and ¥j the daily average value of agricultural informal exports/informal imports of a given day computed from the observed trade figures. Then, B = ¥j---------------------------------------------------------------------------- (2) Where B, stands for the monthly total value of trade for a given day, say Monday in the month of June, 2011 of agricultural informal exports/informal imports (i.e. total of all Mondays). n)2(1--------------------S=iinµ jd 6
Therefore, the monthly informal agricultural informal exports/informal imports aggregate for all days in the month of June, 2011were estimated as: BT= Where j represents days of the week, i.e. Monday, Tuesday… Sunday. The estimated total value of informal exports/ informal imports of the agricultural products traded during three months (April-June, 2011), was expressed mathematically as: Where k, stands for the month. )3(¥j1------------------------------S=jjd )4(¥j11--------------------------SS==jjkdOut of the existing 24 border stations, 16 border stations were purposively selected. These comprised Lwakhakha, Malaba and Busia (along Kenya/Uganda border), Isebania, Namanga, Taveta, Lungalunga and Shimoni (along Kenya/Tanzania border), Rhamu, Lamu and Mandera (along Kenya/Somalia border), Mandera and Moyale (along Kenya/Ethiopia border), and Kapweta, Nandapal and Lokichoggio (along Kenya/Sudan border).
Under assumption (a) above, for industrial and other products with constant trade flows, during the month of June, 2011with n days (i.e n=30 days) and having a daily average value of industrial and other products of µi, the total value of inflows/outflows of industrial and other products during the month of June, 2011 were mathematically presented as: Ai= µi -------------------------------------------------- (1) Equation (1) shows that to get the monthly value estimates for the month of June, 2011, the average daily values of industrial and other products from survey figures were multiplied by number of days in the month of June, 2011. Hence, equation (1) represents estimated total value of informal exports/ informal imports of the industrial and other products traded during the month of June, 2011. Therefore, the estimated total value of informal exports/ informal imports of the industrial and other products traded during the period of three months (April-June, 2011) were expressed mathematically as: AT = Where i = month and AT are total export/import flow for industrial and other product categories. To up rate informal trade flows of agricultural and other agricultural products during the month of June, 2011 of the survey, assumption (b) was taken into consideration. The monthly aggregate of agricultural trade flows was expressed as the sum of product of the number of particular days in the month of June, 2011. Let dj represent the number of particular days in the month of June, 2011, say four Mondays and ¥j the daily average value of agricultural informal exports/informal imports of a given day computed from the observed trade figures. Then, B = ¥j---------------------------------------------------------------------------- (2) Where B, stands for the monthly total value of trade for a given day, say Monday in the month of June, 2011 of agricultural informal exports/informal imports (i.e. total of all Mondays). n)2(1--------------------S=iinµ jd 6
Therefore, the monthly informal agricultural informal exports/informal imports aggregate for all days in the month of June, 2011were estimated as: BT= Where j represents days of the week, i.e. Monday, Tuesday… Sunday. The estimated total value of informal exports/ informal imports of the agricultural products traded during three months (April-June, 2011), was expressed mathematically as: Where k, stands for the month. )3(¥j1------------------------------S=jjd )4(¥j11--------------------------SS==jjkdOut of the existing 24 border stations, 16 border stations were purposively selected. These comprised Lwakhakha, Malaba and Busia (along Kenya/Uganda border), Isebania, Namanga, Taveta, Lungalunga and Shimoni (along Kenya/Tanzania border), Rhamu, Lamu and Mandera (along Kenya/Somalia border), Mandera and Moyale (along Kenya/Ethiopia border), and Kapweta, Nandapal and Lokichoggio (along Kenya/Sudan border).
Deviations from the Sample Design
Out of the 16 selected border stations, data collection was done completely in 13 border points (Busia, Malaba, Isebania, Namanga, Taveta, Lungalunga, Moyale, Mandera, Lokichoggio, Shimoni, Nandapal, Rhamu and Lwakhakha). Due to insecurity concerns coupled with other logistical complications, Kapweta and Lamu border points were not operational. Hence, ICBT survey was not conducted in these areas.
Response Rate
Refer to the document
Weighting
Not weighted
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2011-04-01 | 2011-06-30 | 3 Months |
Time periods
| Start date | End date | Cycle |
|---|---|---|
| 2011-06-01 | 2011-06-21 | 21 |
Data Collection Mode
Face-to-face [f2f]
Supervision
The supervision was carried out by the County Statistical Officers
Data Collection Notes
Out of the 16 selected border stations, data collection was done completely in 13 border points (Busia, Malaba, Isebania, Namanga, Taveta, Lungalunga, Moyale, Mandera, Lokichoggio, Shimoni, Nandapal, Rhamu and Lwakhakha). Due to insecurity concerns coupled with other logistical complications, Kapweta and Lamu border points were not operational. Hence, ICBT survey was not conducted in these areas.
The direct observation method of data collection was deemed to be the most cost-effective way of gathering data under border conditions which was far from ideal. Under this technique, Research Assistants positioned themselves strategically at border posts to record all merchandise entering or leaving the country by observation. Daily transactions were first recorded in the counter books. Thereafter, summarized in a predesigned questionnaire “Summary Form A” (see Appendix III).
The direct observation method of data collection was deemed to be the most cost-effective way of gathering data under border conditions which was far from ideal. Under this technique, Research Assistants positioned themselves strategically at border posts to record all merchandise entering or leaving the country by observation. Daily transactions were first recorded in the counter books. Thereafter, summarized in a predesigned questionnaire “Summary Form A” (see Appendix III).
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Kenya National Bureau of Statistice | KNBS | Ministry of Devolution and Planning |
Questionnaires
Questionnaires
The Exports and Imports questionnaier consist of the following:
HS Code (Office)
Item Name
Quantity Unit Code
Est. domestic price per unit
Country of Origin code
Mode of Transport
HS Code (Office)
Item Name
Quantity Unit Code
Est. domestic price per unit
Country of Origin code
Mode of Transport
Data Processing
Data Editing
The questionnaires were edited in office by data editing staff.
Other Processing
Data Entry was done using CSpro package, data entry clerks were hired to assist with the manual entry
Data Appraisal
Estimates of Sampling Error
No estimated sampling error done
Data Appraisal
None
Access policy
Access authority
| Name | Affiliation |
|---|---|
| Director General | Kenya National Bureau of Statistics |
Contacts
| Name | Affiliation |
|---|---|
| Director General | Kenya Nationak Bureau of Statistics |
Confidentiality
Data and other materials provided by KNBS shall not be redistributed or sold to other individuals, institutions, or organizations without written authority from the Director General.
Data shall be used for statistical purposes only and not for investigation of specific individuals or organizations or any other purpose.
No attempt shall be made to produce links among datasets provided by KNBS, or among data from the KNBS and other datasets with a view to identifying individuals or organizations.
Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the KNBS Data Archive will cite the source of data.
Requests for micro-data shall be serviced upon completion of and submission of the Application Form for Microdata.
Access conditions
The following general cost-sharing principles will apply to the dissemination of data:
Open access data (Public use) - data posted in the KNBS website for download will be available at no charge.
Registered access (Licensed) data - data will be availed to sponsors as per agreement between the sponsor and KNBS.
A sponsor is any party who contributes directly either materially or financially towards a data production process.
Users requesting for specialized services are expected to negotiate and agree on a cost-recovery agreement with the Director General.
KNBS may levy fees on statistical information products depending on the type of product, effort expended and the dissemination medium.
Open access data (Public use) - data posted in the KNBS website for download will be available at no charge.
Registered access (Licensed) data - data will be availed to sponsors as per agreement between the sponsor and KNBS.
A sponsor is any party who contributes directly either materially or financially towards a data production process.
Users requesting for specialized services are expected to negotiate and agree on a cost-recovery agreement with the Director General.
KNBS may levy fees on statistical information products depending on the type of product, effort expended and the dissemination medium.
Citation requirements
The data users shall acknowledge that any available intellectual property rights, including copyright in the data are owned by the KNBS.
The data user or client is encouraged to provide KNBS with a copy of such report, paper or article.
The data user or client is encouraged to provide KNBS with a copy of such report, paper or article.
Disclaimer and copyrights
Disclaimer
In no event shall KNBS become liable to users of its data, or any other party, for any loss or damages, consequential or otherwise, including but not limited to time, money, or goodwill, arising from the use, operation or modification of the data. In using these data, users further agree to indemnify, defend, and hold harmless KNBS for any an all liability of any nature arising out of or resulting from the lack of accuracy or correctness of the data, or the use of the data.
Copyright
(c) 2013, Kenya National Bureau of Statistics
Metadata production
DDI Document ID
DDI-KEN-KNBS-ICBT-2011-v1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Kenya National Bureau of Statistics | KNBS | Planning and Devolution | Documentation of the Survey |
Date of Metadata Production
2014-05-16
DDI Document version
Version 1.0 (May 2014)