La Union’s CPI posted at 119.4 in October 2021

The Consumer Price Index (CPI) in La Union in October 2021 was recorded at 119.4, which means that on the average, prices of goods and services in the province have increased by 19.4 percent from the base year 2012.  The province’s CPI was posted at 119.1 in September 2021 and at 114.9 in October 2020. 

Meanwhile, Ilocos Region’s CPI was recorded at 122.9 and 128.7 in October 2020 and October 2021, respectively, higher than La Union’s CPI in said periods.

La Union’s inflation decelerates by 3.9% in October 2021

La Union’s headline inflation slowed down in October 2021 by 3.9 percent.  In September 2021, inflation was recorded at 4.0 percent, and in October 2020 at 1.2 percent.

In 2020, the headline inflation in La Union was recorded at 1.4 percent in January.  In February, March, and April, inflation continued to accelerate at 1.5 percent, 1.8 percent, and 2.4 percent, respectively.  Inflation slowed down to 1.7 percent in May but registered higher annual growth in June at 1.9 percent.   It again decelerated to 1.6 percent and at 1.1 percent in July and August, respectively. Inflation accelerated by 1.4 percent in September but moved at a slower pace in October at 1.2 percent. Inflation rose by 2.5 percent in November and continued to pick up by 3.0 percent in December.

Inflation in the province further accelerated by 3.8 percent in January 2021. Meanwhile, a downtrend was observed as the inflation slowed down to 3.0 percent in February and further eased to 2.6 percent and 2.0 percent in March and April, respectively. In May, June, July, August and September 2021, an uptrend was observed in the province’s inflation as it continuously rose by 2.6 percent, 2.8 percent, 3.0 percent, 3.9 percent, and 4.0 percent, respectively. In October 2021, inflation decelerated to 3.9 percent.

Meanwhile, Ilocos Region’s headline inflation slowed down to 4.7 percent in October 2021.  Inflation rate in the region was posted at 5.0 percent in September 2021 and at 2.7 percent in October 2020.

The slower pace of inflation in the province from September 2021 to October 2021 was mainly due to the lower annual increment in the heavily-weighted food and non-alcoholic beverages from 5.1 percent to 4.3 percent.  Also contributing to the downtrend in the overall inflation in the province were lower annual upticks recorded in the indices of clothing and footwear, from 2.5 percent to 1.2 percent; and recreation and culture, from 0.9 percent to 0.8 percent. 

However, the indices of other commodity groups exhibited an uptrend from September 2021 to October 2021:  alcoholic beverages and tobacco, 8.8 percent to 9.2 percent; housing, water, electricity, gas and other fuels, 4.9 percent to 5.4 percent; furnishings, household equipment and routine maintenance of the house, 1.2 percent to 1.4 percent; and transport, 6.3 percent to 7.6 percent. 

The same annual rates as in the previous month were recorded in the indices of health and restaurant and miscellaneous goods and services, 1.5 percent and 0.2 percent, respectively while the indices of communication and education remained at zero growth from September 2021 to October 2021.

Food inflation at the provincial level decelerated to to 4.6 percent in October 2021 from 5.5 percent in the previous month.

By specific food item, the highest inflation in October 2021 was recorded in the corn index at 33.4 percent.  Its inflation a month ago was posted at 21.7 percent. 

Contributing to the downtrend in the inflation of food alone index from September 2021 to October 2021 were lower annual rates in the indices of bread and cereals from 0.7 percent to -0.1 percent; rice, 0.1 percent to -1.1 percent; fish, 2.3 percent to 1.7 percent; milk, cheese, and eggs, 1.7 percent to 0.7 percent; and vegetables, 28.8 percent to 20.8 percent.

On the contrary, higher annual upticks were noted in the indices of fruit from 14.7 percent in the previous month to 16.1 percent in October 2021; meat, 9.6 percent to 10.4 percent; oils and fats, 3.1 percent to 3.5 percent; food products not elsewhere classified, -2.9 percent to -2.5 percent; other cereals, flour, cereal preparation, bread, pasta and other bakery products, 1.8 percent to 2.0 percent; and sugar jam, honey, chocolate and confectionery, 1.4 percent to 1.5 percent.

PPP in La Union remains at PhP0.84 in October 2021

The Purchasing Power of the Peso (PPP) in La Union remained at PhP0.84 in October 2021. This means that the purchasing capability of PhP1.00 in 2012 decreased by 16 centavos in October 2021.  In October 2020, the PPP in the province was recorded at PhP0.87. 

In October 2020, the PPP in La Union was recorded at PhP0.87.  It decreased in November 2020 at PhP0.86 and in December 2020 at PhP0.85.  The PPP in the province further went down in January 2021 at PhP0.84. It again went up in February 2021 at PhP0.85 and remained until June 2021. The PPP in the province decreased in July 2021 at PhP0.84 and remained constant until October 2021.

TECHNICAL NOTES

The Philippine Statistics Authority generates and announces the monthly Consumer Price Index (CPI) based on a nationwide survey of prices for a given basket of goods and services. 

The CPI is an indicator of the change in the average retail prices of a fixed basket of goods and services commonly purchased by households relative to a base year.  It shows how much on the average, prices of goods and services have increased or decreased from a particular reference period known as base year.  It also serves as a basis for economic analysis, collective bargaining agreements, for wage adjustments, and for monitoring the effects of government economic policy on households. 

Rebasing of CPI to Base Year 2012 and Adopting the Chain Method in the 2012-based CPI

1. Identification of the Base Year

The base period is the period, usually a year, at which the index number is set to 100.  It is the reference point of the index number series. The CPI is now rebased to 2012 base year from the current 2006 base year. 

The year 2012 was chosen as the next base year because it was the latest year when the Family Income and Expenditure Survey (FIES) results were made available.  It is also in accordance with PSA Board Resolution No. 1, Series of 2017-146, which approved the synchronized rebasing of the price indices to base year 2006 and every six (6) years thereafter. 

2. Determination of the Market Basket

Market basket refers to a sample of goods and services, which is meant to represent the totality of all goods and services purchased by households relative to a base year. 

Determining the right market basket is crucial because inadequate representation of the typical basket will give wrong signals as to the behavior of prices, a very important factor in economic planning. 

To determine the commodities that will form the market basket for the 2012-based CPI, the updating of the 2006 basket through the Survey of Key Informants was conducted from 07 October to 15 November 2013.  The survey was conducted nationwide to store managers, sellers or proprietors and were asked of the most commonly purchased items or commodities.  The commodities are grouped according to the 2010 Philippine Classification of Individual Consumption According to Purpose (COICOP) which is based on the United Nations COICOP. 

3. Determination of the Household Consumption Patterns (Weights)

This activity involves assigning weights to the commodity groups/sub-groups.  This reflects the consumption priorities of households and the way they allocate resources to meet their needs.  Weight is a value attached to a commodity or group of commodities to indicate the relative importance of that commodity or group of commodities in the market basket. 

The weights for the 2012-based CPI were derived from the expenditure data of the 2012 FIES, a survey that covered around 50,000 sample households nationwide.  The weight for each item of expenditure is a proportion of that expenditure item to the total national expenditure.  The total (all items) national expenditure weights is equal to 100. 

The 2012 FIES expenditure data were used to directly estimate the 2012 CPI weights at the national and regional levels.  However, the 2012 FIES estimates for the expenditure data at the provincial level were not directly utilized in estimating the CPI expenditure weights as the data at the provincial/city level may not be reliable with the use of the households’ master sample (MS) that was utilized in selecting the 2012 FIES sample households.  The MS was drawn using regions as domains in generating estimates in all the household surveys of the PSA starting July 2003. 

The provincial/city expenditure data were derived using the model-based method in small area estimation procedures using the regional expenditure data as the control total for all the expenditure data within the specific region.  Using these estimates, the weight for each item of expenditure is computed as a proportion of that item of expenditure to the total national expenditure.  A raking procedure was done to adjust the weights of the provinces so that the provincial weights when added up will equal to the regional weights. 

4. Monitoring of Prices of Items in the Market Basket

This involves establishing baseline information for prices of the items in the base year and monitoring the prices of the items on a regular basis.  Collection of data for the CPI is done by the provincial staff of the PSA.  Except for food, beverage and tobacco (FBT) in the National Capital Region(NCR) and petroleum products which are monitored on a weekly basis, price collection is generally done twice a month.  First collection phase is done in the first five days of the month while the second phase is on the 15th to 17th day of the month.  Data are collected from the sample outlets (outlets or establishments where prices of commodities/services are collected or quoted) which were chosen using the following criteria:

a. Popularity of an establishment along the line of goods to be priced – this means the sample outlet is publicly noted in the locality for selling goods included in the CPI market basket and the outlet is patronized by a large segment of the population. 

b. Consistency and completeness of stock

Consistency of stock – the outlet has a constant, steady or regular stock of commodities listed in the CPI price collection forms as well as of those commodities of the same kind and belonging to the same commodity group.

Completeness of stock – the sample outlet carries in its stock many if not all of the items included in the CPI price collection forms relative to the other outlets in the area. 

c. Permanency of outlet – the outlet is an established store or stall in the market area.  It should not be an ambulant or transient vendor in order that the collection of data can be done for the succeeding survey rounds. 

d. Geographical location – the outlet is conveniently located and is accessible to the majority of consumers in the area. 

 5. Computation of the CPI

The PSA employed the weighted arithmetic mean of price relatives and the “Chain” method to provide timely indicators since this method allows the inclusion or exclusion of commodities in the market basket to address the changing consumer taste and preferences and technological changes. Below are the steps in the computation of CPI using the 2012 as the base year:

Economic Indicators Derived from the CPI

Two important indicators, the inflation rate and purchasing power of the peso (PPP), are derived from the CPI which are important in monitoring price stability and the value of the country’s currency.

Inflation Rate is the annual rate of change or the year-on-year change of the CPI expressed in percent. The formula is:

Headline Inflation is the rate of change in the weighted average prices of all goods and services in the CPI basket while Core Inflation refers to the rate of change in the CPI which excludes the following item/commodity groups: rice, corn, fruits and vegetables, and fuel items.

The PPP measures the real value of the peso in a given period relative to a chosen reference period. It is computed by getting the reciprocal of the CPI and multiplying the result by 100.

SGD. DANITES E. TEÑIDO, Ph.D.
Chief Statistical Specialist

MAQ/RBB