Survey of Retail Prices for the Monthly CPI 2009
Philippines, 2009
Reference ID
PHL-NSO-CPI-2009-v01
Producer(s)
National Statistics Office (NSO), Bureau of Agricultural Statistics (BAS) of Department of Agriculture
Collection(s)
Metadata
Created on
Oct 12, 2021
Last modified
Oct 12, 2021
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9481
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Identification
Survey of Retail Prices for the Monthly CPI 2009
Name | Abbreviation |
---|---|
Philippines | PHL |
PHL-NSO-CPI-2009-v01
The National Statistics Offie generates various price indices, one of this is the Consumer Price index (CPI).
The 2009 monthly CPI is generated through the results of the Survey of Retail Prices of Commodities. This is conducted through the collection of prices in selected sample outlets in provinces and selected cities nationwide. The survey covers items and services that are most commonly purchased/availed of by the average income Filipino household.
The 2009 monthly CPI is generated through the results of the Survey of Retail Prices of Commodities. This is conducted through the collection of prices in selected sample outlets in provinces and selected cities nationwide. The survey covers items and services that are most commonly purchased/availed of by the average income Filipino household.
Sample survey data [ssd]
Retail prices of selected commodities and services commonly purchased/availed of the average Filipino household.
Version
Version1.0 - Basic price data
2010-06-01
Coverage
Philippines National Capital Region CAR - Cordillera Administrative Region
Abra
Benguet
Ifugao
Kalinga
Mountain Province
Baguio City
Apayao Region I - Ilocos Region
Ilocos Norte
Ilocos Sur
La Union
Pangasinan Region 2 - Cagayan Valley
Batanes
Cagayan
Isabela
Nueva Viscaya
Quirino Region 3 - Central Luzon
Bataan
Bulacan
Nueva Ecija
Pampanga
Tarlac
Zambales
Aurora
Olongapo City Region 4a - CALABARZON
Batangas
Cavite
Laguna
Quezon
Rizal Regiion 4b - MIMAROPA
Marinduque
Mindoro OccidentaI
Mindoro Oriental
Palawan
Romblon Region 5 - Bicol Region
Albay
Camarines Norte
Camarines Sur
Catanduanes
Masbate
Sorsogon Region 6 - Western Visayas
Aklan
Antique
Capiz
Iloilo
Negros Occidental
Bacolod City
Iloilo City
Guimaras Region 7 - Central Visayas
Bohol
Cebu
Negros Oriental
Siquijor
Cebu City Region 8 - Eastern Visayas
Eastern Samar
Leyte
Biliran
Northern Samar
Western Samar
Southern Leyte Region 9 - Zamboanga Peninsula
ZAMBOANGA DEL NORTE
ZAMBOANGA DEL SUR
ZAMBOANGA CITY Region 10 - Northern Mindanao
Bukidnon
Camiguin
Lanao del Norte
Misamis Occidental
Misamis Oriental
Cagayan De Oro City Region 11 - Davao
Davao Norte
Davao Sur
Davao Oriental
Davao City Region 12 - Central Mindanao
North Cotabato
South Cotabato
Sultan Kudarat
Cotabato City
General Santos City
Sarangani ARMM - Autonomous Region in Muslim Mindanao
Basilan
Lanao del Sur
Maguindanao
Sulu
Tawi-Tawi
Marawi City CARAGA
Agusan del Norte
Agusan del Sur
Surigao del Norte
Surigao del Sur
Abra
Benguet
Ifugao
Kalinga
Mountain Province
Baguio City
Apayao Region I - Ilocos Region
Ilocos Norte
Ilocos Sur
La Union
Pangasinan Region 2 - Cagayan Valley
Batanes
Cagayan
Isabela
Nueva Viscaya
Quirino Region 3 - Central Luzon
Bataan
Bulacan
Nueva Ecija
Pampanga
Tarlac
Zambales
Aurora
Olongapo City Region 4a - CALABARZON
Batangas
Cavite
Laguna
Quezon
Rizal Regiion 4b - MIMAROPA
Marinduque
Mindoro OccidentaI
Mindoro Oriental
Palawan
Romblon Region 5 - Bicol Region
Albay
Camarines Norte
Camarines Sur
Catanduanes
Masbate
Sorsogon Region 6 - Western Visayas
Aklan
Antique
Capiz
Iloilo
Negros Occidental
Bacolod City
Iloilo City
Guimaras Region 7 - Central Visayas
Bohol
Cebu
Negros Oriental
Siquijor
Cebu City Region 8 - Eastern Visayas
Eastern Samar
Leyte
Biliran
Northern Samar
Western Samar
Southern Leyte Region 9 - Zamboanga Peninsula
ZAMBOANGA DEL NORTE
ZAMBOANGA DEL SUR
ZAMBOANGA CITY Region 10 - Northern Mindanao
Bukidnon
Camiguin
Lanao del Norte
Misamis Occidental
Misamis Oriental
Cagayan De Oro City Region 11 - Davao
Davao Norte
Davao Sur
Davao Oriental
Davao City Region 12 - Central Mindanao
North Cotabato
South Cotabato
Sultan Kudarat
Cotabato City
General Santos City
Sarangani ARMM - Autonomous Region in Muslim Mindanao
Basilan
Lanao del Sur
Maguindanao
Sulu
Tawi-Tawi
Marawi City CARAGA
Agusan del Norte
Agusan del Sur
Surigao del Norte
Surigao del Sur
Retail prices of selected commodities and services commonly purchased/availed of the average Filipino household.
The survey coverd retail prices of selected commodities and services commonly purchased/availed of the average income FIlipino households.
Producers and sponsors
Name | Abbreviation | Role |
---|---|---|
National Statistics Office | NSO | |
Bureau of Agricultural Statistics | BAS |
Sampling
The market basket used in the construction of the 2000 CPI was drawn from the results of the updating activity of the 1994 market basket. Updating of the 1994 market basket was done through an interview of key informants in various outlets as to the availability and saleability of the items they sell. Provinces and selected cities had their own market baskets. Number of items ranges fromm 285 (Batanes) to 750 (Negros Occidental).
As the CPI uses Laspeyres formula in the computation which uses fixed number of items and weights, the number of items in the 2009 Survey of Retail Prices for the CPI covered also the items based on the results of the upadting activity.
Around 459,000 price quotations are entered in the computation of the monthly CPI.
As the CPI uses Laspeyres formula in the computation which uses fixed number of items and weights, the number of items in the 2009 Survey of Retail Prices for the CPI covered also the items based on the results of the upadting activity.
Around 459,000 price quotations are entered in the computation of the monthly CPI.
NA
Data Collection
Start | End | Cycle |
---|---|---|
2009-01-01 | 2009-01-05 | 1 |
2009-01-15 | 2009-01-18 | 2 |
2009-02-01 | 2009-02-05 | 1 |
2009-02-15 | 2009-02-18 | 2 |
2009-03-01 | 2009-03-05 | 1 |
2009-03-15 | 2009-03-18 | 2 |
2009-04-01 | 2009-04-05 | 1 |
2009-04-15 | 2009-04-18 | 2 |
2009-05-01 | 2009-05-05 | 1 |
2009-05-15 | 2009-05-18 | 2 |
2009-06-01 | 2009-06-05 | 1 |
2009-06-15 | 2009-06-18 | 2 |
2009-07-01 | 2009-07-05 | 1 |
2009-07-15 | 2009-07-18 | 2 |
2009-08-01 | 2009-08-05 | 1 |
2009-08-15 | 2009-08-18 | 2 |
2009-09-01 | 2009-09-05 | 1 |
2009-09-15 | 2009-09-18 | 2 |
2009-10-01 | 2009-10-05 | 1 |
2009-10-15 | 2009-10-18 | 2 |
2009-11-01 | 2009-11-05 | 1 |
2009-11-15 | 2009-11-18 | 2 |
2009-12-01 | 2009-12-05 | 1 |
2009-12-15 | 2009-12-18 | 2 |
Face-to-face [f2f]
Each province has its own number of price collectors. The District Statistics Officers, Statistical Coordination Officers and selected Statistical Researchers in each district in the province acted as price collectors of the NSO. Price collectors from BAS in the provincial capital in each province also collects prices for the CPI. The Provincial Statistics Officer (PSO) of the NSO serves as the overall coordinator and supervisor in the collection of prices in the province.
The Central Office staff conducts spot checking of prices in selected provinces as the need arises.
The Central Office staff conducts spot checking of prices in selected provinces as the need arises.
The survey of retail prices of commodities and services utilizes the following forms:
Prices Form 1-A (Survey of retail prices of agricultural food items)
Prices Form 1-B (Survey of retail prices of processed food items, beverages and tobacco)
Prices Form 1-C (Survey of retail prices of non-food items)
Prices Form 1-D (Survey of costs of fuel, light and water house rentals and services).
Prices Form 1-A (Survey of retail prices of agricultural food items)
Prices Form 1-B (Survey of retail prices of processed food items, beverages and tobacco)
Prices Form 1-C (Survey of retail prices of non-food items)
Prices Form 1-D (Survey of costs of fuel, light and water house rentals and services).
Name | Abbreviation | Affiliation |
---|---|---|
National Statistics Office | NSO | National Economic and Development Authority |
Bureau of Agricultural Statistics | BAS | Department of Agriculture |
Data Processing
Editing of Survey Forms
The reliability of the consumer price index to a very large extent, depends on the reliability of the price data obtained during the survey. Immediate verification of the reasonableness and reliability of prices of commodities and services in a given area for a given month is therefore necessary. Hence, processing of price survey forms must be done in the field where immediate verification of price data from outlets could be undertaken.
The editing instructions are as follows:
1. Careful examination of price survey forms - Examine carefully the price survey form. Take note that the prices are entered on the same line with the seven-digit commodity being priced. Cancel entries made opposite those with one, two, three or four digit codes. Use red ballpen in editing the raw data submitted by DSOs/SCOs/SRs. Consolidated reports for a province should be in blue or black ink.
2. Comparison of item prices in different outlets - Compare the prices of commodity taken in different outlets. If there is an unusual price (either very high or very low, e.g., 10% from the others in the group) collected in one of the six outlets, examine closely if the error is due to:
· Wrong placement of the decimal
Example:
Code Commodity Outlets
1 2 3 4 5 6
1131135 Bread Loaf, 250 gms 10.00 11.00 100.00 10.00 10.25 10.50
1131166 Pandesal 0.50 0.40 4.50 0.45 0.45 0.50
Note that the price of loaf bread in outlet 3 is written as 100.00. As it is impossible for a loaf bread to have this price, the error is easily detected to be the absence of a decimal point in the price. The correct price should be P10.00.
Similarly, the price of pandesal in outlet 3 is 4.50. Since the other prices are 0.50, 0.40, or 0.45, then it is assume that the price listed in outlet 3 for pandesal is 0.45.
-Difference in the unit of measure
Example:
Code Commodity Outlets
1 2 3 4 5 6
1431148 Fresh Fish, Dilis, kg 57.00 40.00 6.00 55.00 50.15 55.00
1431153 Fresh Fish, Galunggong, medium, kg. 57.50 52.40 4.50 57.75 52.50 50.00
A close examination of the price dilis and galunggong would reveal that the big difference in the price of two kinds of fish in outlet 3 is not in the wrong placement of decimal point nor in the differences of commodities being priced since the prices in the other outlets are more or less on the same range. It is therefore presumed that the error is in the difference of the unit of measure used. Outlet 3 might be selling by the piece, “heap” or “tumpok” since the price of dilis and galunggong are much lower than in the other outlets. In this case, verify the price data from the outlet. If after verification, the price for outlet 3 is the actual price, a remark should be written on the margins justifying the price(s).
· Different commodity being priced
Example:
Code Commodity Outlets
1 2 3 4 5 6
1171169 Sotanghon, local, kg. 50.00 52.00 98.00 51.50 53.00 52.00
The marked difference in the price of sotanghon in outlet 3 may be due to pricing of different classes, grade or kind of commodity. The sotanghon being priced here may have been an important one which is much dearer than the locally made sotanghon. Since the sotanghon to be priced should be locally manufactured, verify price from the outlet concerned.
3. Computation of the Arithmetic Average Price of a Commodity - The arithmetic average price is the simple average of the prices. It is the sum of all the prices taken divided by the number of price quotations. If 6 price quotations are taken, simply get the sum of the 6 prices and divide this by 6.
Example:
The prices quoted for a kilo of refined sugar are 24.00, 23.50, 23.65, 23.75, 23.50 and 24.00. The sum of all their prices divided by 6 is
= 24.00+23.50+23.65+23.75+23.50+24.00
6
142.40
= ------------ = 23.73
6
Transcribe this computed average price of the commodity on the current month's average column. The odd-even rule in rounding numbers should be followed.
4. Verification of Price Data - Review the reasonableness and completeness of price data and the accuracy in the computation of current average prices by comparing the current outlet price of a commodity and current average price of a commodity with its previous month's price in the outlet and its previous month's average price. If there is a big difference in the two average prices, find out the cause. Verify from the outlets where these prices were taken and write on the survey form a remark or the necessary justification, of the marked differences in the two months average prices of a commodity.
The reliability of the consumer price index to a very large extent, depends on the reliability of the price data obtained during the survey. Immediate verification of the reasonableness and reliability of prices of commodities and services in a given area for a given month is therefore necessary. Hence, processing of price survey forms must be done in the field where immediate verification of price data from outlets could be undertaken.
The editing instructions are as follows:
1. Careful examination of price survey forms - Examine carefully the price survey form. Take note that the prices are entered on the same line with the seven-digit commodity being priced. Cancel entries made opposite those with one, two, three or four digit codes. Use red ballpen in editing the raw data submitted by DSOs/SCOs/SRs. Consolidated reports for a province should be in blue or black ink.
2. Comparison of item prices in different outlets - Compare the prices of commodity taken in different outlets. If there is an unusual price (either very high or very low, e.g., 10% from the others in the group) collected in one of the six outlets, examine closely if the error is due to:
· Wrong placement of the decimal
Example:
Code Commodity Outlets
1 2 3 4 5 6
1131135 Bread Loaf, 250 gms 10.00 11.00 100.00 10.00 10.25 10.50
1131166 Pandesal 0.50 0.40 4.50 0.45 0.45 0.50
Note that the price of loaf bread in outlet 3 is written as 100.00. As it is impossible for a loaf bread to have this price, the error is easily detected to be the absence of a decimal point in the price. The correct price should be P10.00.
Similarly, the price of pandesal in outlet 3 is 4.50. Since the other prices are 0.50, 0.40, or 0.45, then it is assume that the price listed in outlet 3 for pandesal is 0.45.
-Difference in the unit of measure
Example:
Code Commodity Outlets
1 2 3 4 5 6
1431148 Fresh Fish, Dilis, kg 57.00 40.00 6.00 55.00 50.15 55.00
1431153 Fresh Fish, Galunggong, medium, kg. 57.50 52.40 4.50 57.75 52.50 50.00
A close examination of the price dilis and galunggong would reveal that the big difference in the price of two kinds of fish in outlet 3 is not in the wrong placement of decimal point nor in the differences of commodities being priced since the prices in the other outlets are more or less on the same range. It is therefore presumed that the error is in the difference of the unit of measure used. Outlet 3 might be selling by the piece, “heap” or “tumpok” since the price of dilis and galunggong are much lower than in the other outlets. In this case, verify the price data from the outlet. If after verification, the price for outlet 3 is the actual price, a remark should be written on the margins justifying the price(s).
· Different commodity being priced
Example:
Code Commodity Outlets
1 2 3 4 5 6
1171169 Sotanghon, local, kg. 50.00 52.00 98.00 51.50 53.00 52.00
The marked difference in the price of sotanghon in outlet 3 may be due to pricing of different classes, grade or kind of commodity. The sotanghon being priced here may have been an important one which is much dearer than the locally made sotanghon. Since the sotanghon to be priced should be locally manufactured, verify price from the outlet concerned.
3. Computation of the Arithmetic Average Price of a Commodity - The arithmetic average price is the simple average of the prices. It is the sum of all the prices taken divided by the number of price quotations. If 6 price quotations are taken, simply get the sum of the 6 prices and divide this by 6.
Example:
The prices quoted for a kilo of refined sugar are 24.00, 23.50, 23.65, 23.75, 23.50 and 24.00. The sum of all their prices divided by 6 is
= 24.00+23.50+23.65+23.75+23.50+24.00
6
142.40
= ------------ = 23.73
6
Transcribe this computed average price of the commodity on the current month's average column. The odd-even rule in rounding numbers should be followed.
4. Verification of Price Data - Review the reasonableness and completeness of price data and the accuracy in the computation of current average prices by comparing the current outlet price of a commodity and current average price of a commodity with its previous month's price in the outlet and its previous month's average price. If there is a big difference in the two average prices, find out the cause. Verify from the outlets where these prices were taken and write on the survey form a remark or the necessary justification, of the marked differences in the two months average prices of a commodity.
Data Appraisal
The decentralized CPI system has the following error messages when the generate reject listing option is run:
1. The current month's price of an item for a particular outlet is 15% higher that its corresponding previous month's price - verification of the price of the item in that particular outlet is required. If after verification, the price entered is found correct, the entry is accept and the necessary remarks is written on the reject listing to be sent to the Central Office. Otherwise, the correct price is reflected in the data file using the Browse/Update Option.
2.The current monthly average price of the commodity exceeds 50% compared to its last month's average- verification of the prices of the commodity by outlet is also required. If the entries for that commodity are verified correct, all the entries for that commodity will be accepted. Otherwise, the price will be corrected using the Browse/Update option.
1. The current month's price of an item for a particular outlet is 15% higher that its corresponding previous month's price - verification of the price of the item in that particular outlet is required. If after verification, the price entered is found correct, the entry is accept and the necessary remarks is written on the reject listing to be sent to the Central Office. Otherwise, the correct price is reflected in the data file using the Browse/Update Option.
2.The current monthly average price of the commodity exceeds 50% compared to its last month's average- verification of the prices of the commodity by outlet is also required. If the entries for that commodity are verified correct, all the entries for that commodity will be accepted. Otherwise, the price will be corrected using the Browse/Update option.
Data access
Name | Affiliation | URI | |
---|---|---|---|
Chief, Economic Incides and Indicators Division | National Statistics Office | r.staana@census.gov.ph | www.census.gov.ph |
Director, Industry and Trade Statistics Department | National Statistics Office | e.deguzman@census.gov.ph | www.census.gov.ph |
Authorization to use this data is granted only to the client or data user and persons within its organization, if
applicable. Under no circumstances shall the client reproduce, distribute, sell or lend the entire data or parts
thereof to any other data user apart from himself or that of authorized employees in his organization. The
NSO shall hold the data user fully responsible for safeguarding the data from any unauthorized access or use.
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized
by the data depositor.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit
not identified on public use data files.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently
revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his
analysis will be immediately brought to the attention of the data depositor.
applicable. Under no circumstances shall the client reproduce, distribute, sell or lend the entire data or parts
thereof to any other data user apart from himself or that of authorized employees in his organization. The
NSO shall hold the data user fully responsible for safeguarding the data from any unauthorized access or use.
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized
by the data depositor.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit
not identified on public use data files.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently
revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his
analysis will be immediately brought to the attention of the data depositor.
Any report, paper or similar articles, whether published or not, emanating from the use of this data shall give
appropriate acknowledgement as suggested herein, "2009 Survey of Retail Prices of Commodities for the monthly CPI , v1.0, National Statistics Office, Manila, Philippines", as the source of basic data. The data user or client is encouraged to
provide NSO with a copy of such report, paper or article. It is understood that unless expressly allowed by
the client, such report, paper or article shall not be used for any purpose other than monitoring.
appropriate acknowledgement as suggested herein, "2009 Survey of Retail Prices of Commodities for the monthly CPI , v1.0, National Statistics Office, Manila, Philippines", as the source of basic data. The data user or client is encouraged to
provide NSO with a copy of such report, paper or article. It is understood that unless expressly allowed by
the client, such report, paper or article shall not be used for any purpose other than monitoring.
Disclaimer and copyrights
The National Statistics Office (NSO) gives no warranty that the data are free from errors. Hence, the NSO
shall not be held responsible for any loss or damage as a result of the client's manipulation or tabulation of the
data.
shall not be held responsible for any loss or damage as a result of the client's manipulation or tabulation of the
data.
The data user acknowledges that any available intellectual property rights, including copyright in the data are owned by the National Statistics Office
contacts
Name | Affiliation | URI | |
---|---|---|---|
Chief, Economic Indices and Indicators Division Chief, Economic Indices and Indicators Division Chief, Economic Indices and Indicators Division vChief, Economic Indices and Indicators Division Chief, Economic Indices and Indicators Division Chief, Economic Indices and Indicators Division | National Statistics Office | r.staana@census.gov.ph | www.census.gov.ph |