In 2024, producer prices had increased by around **** percent compared to the previous year. This was noticeably less than the **** percent increase the year before.

Monthly average retail prices for food, household supplies, personal care items, cigarettes and gasoline. Prices are presented for the current month and previous four months. Prices are in Canadian current dollars.

Cost of food in Luxembourg increased 2.19 percent in June of 2025 over the same month in the previous year. This dataset provides - Luxembourg Food Inflation - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This table contains the consumer price index (CPI). This index figure shows the price development of a package of goods and services purchased by an average household in the Netherlands. The table also shows the derived consumer price index. This is the CPI excluding the influence of government measures such as VAT. In addition to these indices, the table includes inflation. Inflation as an economic concept is the average increase in the price of the goods and services that consumers buy. Inflation in the Netherlands is measured as the increase in the consumer price index (CPI) compared to the corresponding period in the previous year. The consumer price index shows the price development of a package of goods and services as purchased on average by Dutch households. The month-on-month development is also shown in the table. You can view these figures for 269 combinations of product groups. It also shows how much the Dutch consumer spends on each product group in relation to his total expenditure. We call this the weighting coefficient. Data available from 1996 to 2015 Status of the figures: The figures in this table are final. Changes as of May 18, 2016 None, this table has been discontinued. Changes as of December 10, 2015 As of October 1, the national government has adjusted the points system for house rents. As a result, the rents of a limited number of homes fell, causing average rents to fall as well. The effect of this rent decrease on the price indices of rent and imputed rent could not be determined earlier, because the housing associations only announced the extent of the rent adjustments in November. The figures of groups 04100 'Actual rent' and 04200 'Allocated rent owner-occupied home' from October 2015 have therefore been adjusted. The figures for groups 061100 'Self-care medicines, 061200 'Other medical products', 072200 'Car fuels' and 083000 'Telephone, fax and internet services' from June to September 2015 have been adjusted. This has no consequences for the published top-level indices. The derived CPI over the month of August 2015 has been adjusted downwards by 0.01 index point. When will new numbers come out? This table is followed by Consumer prices; price index 2015=100. See section 3.

Cost of food in Finland increased 2.20 percent in June of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Finland Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Ahead of the competition, the total spending for the Paris 2024 Olympic Games was projected to be *** billion U.S. dollars. This was the lowest budget of a Summer Olympics since 2000, when *** billion U.S. dollars were spent on the Sydney Olympics. The highest level of spending on an Olympics since 1996 was on Beijing 2008, which cost a staggering **** billion U.S. dollars. How was the budget for the Paris 2024 Olympic Games distributed? The total budget for the Paris 2024 Games was divided almost evenly between infrastructure and operating expenses. In terms of the organizational budget, the largest portion, over *** billion euros, was anticipated to come from ticket sales, followed by revenue from partnerships, and contributions from the International Olympic Committee (IOC). How many events were featured at the Paris 2024 Olympic Games? The 2024 Olympic Games in Paris showcased ** different sports. Among the various disciplines represented at the Olympics, the sport with the most events was aquatics, followed closely by athletics with a total of ** events, and cycling in third. In terms of ticket prices, athletics, basketball, and swimming events were the most expensive, with prices nearing **** euros.

Indonesia Consumer Price Index (CPI): Food: Other Foods Items data was reported at 259.380 1996=100 in Dec 2003. This records an increase from the previous number of 257.640 1996=100 for Nov 2003. Indonesia Consumer Price Index (CPI): Food: Other Foods Items data is updated monthly, averaging 206.700 1996=100 from Jan 1996 (Median) to Dec 2003, with 96 observations. The data reached an all-time high of 263.610 1996=100 in Feb 2003 and a record low of 93.690 1996=100 in Jan 1996. Indonesia Consumer Price Index (CPI): Food: Other Foods Items data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Indonesia – Table ID.IA002: Consumer Price Index.

This table contains 12 series, with data for years 1978 - 2002 (not all combinations necessarily have data for all years), and was last released on 2010-03-19. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Commodities and commodity groups (12 items: All-items; All-items excluding food and energy; All-items excluding food; Food ...).

Graph and download economic data for Harmonized Index of Consumer Prices: Food for Finland (CP0110FIM086NEST) from Jan 1996 to May 2025 about Finland, harmonized, food, CPI, price index, indexes, and price.

The ongoing Consumer Expenditure Survey (CES) provides a continuous flow of information on the buying habits of American consumers and also furnishes data to support periodic revisions of the Consumer Price Index. The survey consists of two separate components: (1) a quarterly Interview Survey in which each consumer unit in the sample is interviewed every three months over a fifteen-month period, and (2) a Diary Survey completed by the sample consumer units for two consecutive one-week periods. The Diary Survey contains consumer information on small, frequently purchased items such as food, beverages, food consumed away from home, gasoline, housekeeping supplies, nonprescription drugs and medical supplies, and personal care products and services. Participants are asked to maintain expense records, or diaries, of all purchases made each day for two consecutive one-week periods. The Consumer Unit Characteristics and Income (FMLY) files supply information on consumer unit characteristics, consumer unit income, and characteristics and earnings of the reference person and his or her spouse. A consumer unit consists of all members of a particular housing unit who are related by blood, marriage, adoption, or some other legal arrangement. Consumer unit determination for unrelated persons is based on financial independence. Member Characteristics (MEMB) files contain selected characteristics and earnings for each consumer unit member, including information on relationship to reference person. The Detailed Expenditures (EXPN) files present weekly data on expenditures at the Universal Classification Code (UCC) level, while Income (DTAB) files contain data on CU characteristics and income at the UCC level. Part 20, Documentation File, includes a sample program and a list of the FMLY, MEMB, EXPN, and DTAB variables by start position. Part 17, Aggregation File, and Part 18, Label File, contain processing files used by the program in Part 20. Parts 25 and 26 are SAS programs that generate means, variances, standard errors, and coefficients of variation.

Cost of food in Bulgaria increased 6.90 percent in May of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Bulgaria Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Taiwan Consumer Price Index (CPI): Food: Flour data was reported at 109.440 1996=100 in Dec 2002. This records an increase from the previous number of 108.330 1996=100 for Nov 2002. Taiwan Consumer Price Index (CPI): Food: Flour data is updated monthly, averaging 83.900 1996=100 from Jan 1981 (Median) to Dec 2002, with 264 observations. The data reached an all-time high of 109.440 1996=100 in Dec 2002 and a record low of 63.780 1996=100 in Jan 1981. Taiwan Consumer Price Index (CPI): Food: Flour data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.I022: Consumer Price Index: 1996=100.

Kazakhstan Average Price: Non Food Products: Children's Pullover data was reported at 5,767.000 KZT/Unit in 2017. This records an increase from the previous number of 5,371.000 KZT/Unit for 2016. Kazakhstan Average Price: Non Food Products: Children's Pullover data is updated yearly, averaging 1,879.000 KZT/Unit from Dec 1996 (Median) to 2017, with 22 observations. The data reached an all-time high of 5,767.000 KZT/Unit in 2017 and a record low of 633.000 KZT/Unit in 1996. Kazakhstan Average Price: Non Food Products: Children's Pullover data remains active status in CEIC and is reported by The Agency of Statistics of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.P002: Average Price: Consumer Goods and Services.

Cost of food in Nigeria increased 21.14 percent in May of 2025 over the same month in the previous year. This dataset provides - Nigeria Food Inflation - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Abstract copyright UK Data Service and data collection copyright owner.

The Prices Survey Microdata include the underlying price data used by the Office for National Statistics (ONS) to produce the Consumer Prices Index (CPI), the Retail Prices Index (RPI) and associated price indices. The CPI has become the main domestic measure of inflation for macroeconomic purposes in the UK. Since December 2003 it has been used for the inflation target that the Bank of England is required to achieve. The RPI is the most long-standing measure of inflation in the UK, and its uses have included the indexation of pensions, state benefits and index-linked gilts. The study also includes the data underlying the Producer Prices Index.

There are four levels of sampling for local price collection: locations/shopping areas; outlets/shops within locations; representative items/goods and services; and products and varieties (price quotes).

There are two basic price collection methods: local and central. Local collection is used for most items; prices are obtained from outlets in about 150 locations around the country. Some 110,000 quotations are obtained by this method. Normally, collectors must visit the outlet, but prices for some items may be collected by telephone. Central collection is used for items where all the prices can be collected centrally by the ONS with no field work. These prices can be further sub-divided into two categories, depending on their subsequent use: 1) central shops, where the prices are combined with prices obtained locally, and 2) central items, where the prices are used on their own to construct centrally calculated indices. There are about 130 items for which the prices are collected centrally.

The retail price data include the locations containing the shopping outlets from which the price quotes were obtained. These locations are intended to be broadly representative of a central shopping area and the areas where the local shopping population tend to live. The data also include the regions in which those shopping areas are located.

Linking to other business studies
The producer prices data contain Inter-Departmental Business Register (IDBR) reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

Latest edition information
For the thirty-fifth edition (May 2024), monthly Item Indices and Price Quotes data files for January to March 2024 have been added to the study.

Main Topics:

The Prices Survey Microdata include both retail and producer prices. The retail data include the following files:

• 'backdata' or background information files
• locally collected files
• centrally collected item files
• item indices files
  
• price quote files
• Classification of Individual Consumption by Purpose (COICOP) level maps and weights files
  

The 'backdata' background information files include:

• COICOP descriptions and identification codes
• descriptions and identification codes for each item (goods and services)
• location descriptions and identification codes (and the region of the UK)
• shop codes for each item and location

The pre-2007 data also include postcodes for the shops.

The retail prices data span from 1996 to 2009 (centrally collected item indices), from 1996 to 2013 (annual item indices), from 1st quarter 1996 to 3rd quarter 2016 (quarterly item indices and quarterly price quote data), from October 2016 to July 2023 (monthly item indices and monthly price quote data), and from 1996 to 2013 (locally collected data).

The producer prices files span from 1998 to 2021 and include:

• item and index number codes
• Inter-Departmental Business Register Reporting Unit reference numbers, allowing the data to be matched to other ONS business survey data
• index descriptions
• prices for each item/index number

Additional producer prices files spanning 1996 to 2019 provide only the Producer Prices Indices and summary tables.

Indonesia Consumer Price Index (CPI): Jakarta: Food: Other foods Items data was reported at 205.390 1996=100 in Sep 1999. This records an increase from the previous number of 198.280 1996=100 for Aug 1999. Indonesia Consumer Price Index (CPI): Jakarta: Food: Other foods Items data is updated monthly, averaging 130.680 1996=100 from Jan 1996 (Median) to Sep 1999, with 45 observations. The data reached an all-time high of 205.390 1996=100 in Sep 1999 and a record low of 88.580 1996=100 in Jan 1996. Indonesia Consumer Price Index (CPI): Jakarta: Food: Other foods Items data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Indonesia – Table ID.IA028: Consumer Price Index: by Cities: Java: DKI Jakarta.

In 2022, the adjusted expenses in German hospitals amounted to ***** billion euros, an increase compared to the previous year at ***** billion euros. It was also the highest figure since the timeline began.

Abstract

The 1996 Papua New Guinea household survey is designed to measure the living standards of a random sample of PNG households. As well as looking at the purchases, own-production, gift giving/receiving and sales activities of households over a short period (usually 14 days), the survey also collects information on education, health, nutrition, housing conditions and agricultural activities. The survey also collects information on community level access to services for education, health, transport and communication, and on the price levels in each community so that the cost of living can be measured.

There are many uses of the data that the survey collects, but one main aim is for the results to help government, aid agencies and donors have a better picture of living conditions in all areas of PNG so that they can develop policies and projects that help to alleviate poverty. In addition, the survey will provide a socio-economic profile of Papua New Guinea, describing the access that the population has to agricultural, educational, health and transportation services, their participation in various economic activities, and household consumption patterns.

The survey is nationwide and the same questionnaire is being used in all parts of the country, including the urban areas. This fact can be pointed out if households find that some of the questions are irrelevant for their own living circumstances: there are at least some Papua New Guinean households for which the questions will be relevant and it is only by asking everyone the same questions that living standards can be compared.

Geographic coverage

The survey covers all provinces except Noth Solomons.

Analysis unit

• Household
• Individual
• Community

Kind of data

Sample survey data [ssd]

Sampling procedure

The Household Listing Form and Selection of the Sample Listing of households is the first job to be done after the team has settled in and completed the introductions to the community. Listing is best done by the whole team working together. This way they all get to know the community and its lay-out. However, if the census unit is too large this wastes too much time. So before beginning asks how many households there are, very roughly, in the census unit (noting that teams are supplied with the number of households that were there in the 1990 census). If the answer is 80 or more, divide the team into two and have each half-team work on one sector of the community/village. See the section below on what to do when the listing work is divided up.

If the census unit is a "line-up point" that does not correspond to any single village or community the number of households will often exceed 200 and frequently they are also quite dispersed. In this case it is not practical to attempt to list the whole census unit, so a decision is made in advance to split the census unit into smaller areas (perhaps groupings of clans). First, a local informant must communicate the boundaries of the census unit and for natural or administrative sub-units with the larger census unit (such as hamlets; or canyons/valleys). The sub-units should be big enough to allow for the selection of a set of households (about 30 or more), but should not be so large that excessive transport time will be needed each day just to find the household. Once the subunit is defined, its boundaries should be clearly described. Then one of the smaller units is randomly selected and the procedures outlined above are then followed to complete the listing. Note: only one of the sub-units are listed, sample chosen, and interviews undertaken.

The most important thing in the listing is to be sure that you list all the households and only the households belonging to the named village or census unit (or subset of the census unit if it is a line-up point). In rural areas, explain to village leaders at the beginning: "We have to write down all the households belonging to (Name) village." In case of doubt, always ask: "Does this household belong to (Name) village?" In the towns, the selected area is shown on a map. Check that the address where you are listing is within the same area shown.

Also explain: "We only write down the name of the head of household. When we have the list of all the households, we will select 12 by chance, for interview."

Procedure for Listing The listing team walks around in every part of the village, accompanied by a guide who is a member of the village. If possible, find a person who conducted the 1990 Census in this community or someone with similar knowledge of the community and ask them to be your guide. Make sure you go to all parts of the village, including outlying hamlets. In hamlets, on in any place far from the centre, always check: "Do these people belong to (Name) village?"

In every part of the village, ask the guide about every house: "Who lives in this house? What is the name of the household head?" Note that you do not have to visit every household. At best, you just need to see each house but you do not need to go inside it or talk to anyone who lives there. Even the rule of seeing each house may be relaxed if there are far away household for which good information can be provided by the guide.

Enter the names of household heads in the lines of the listing form. One line is used for each household. As the lines are numbered, the procedure gives a number to each household. When you come to the last house, check with the guide: "Are you sure we have seen all the houses in the village?"

NOTE: It does not matter in what order you list the households as long as they are all listed. After the listing is complete, check that all lines are numbered consecutively with no gaps, from start to finish. The number on the last line should be exactly the number of households listed.

Note: If the list is long (say more than 30 households) interviewer may encounter difficulties when looking for their selected household. One useful way to avoid this is to show the approximately the place in the list here certain landmarks come. This can be done by writing in the margin, CHURCH or STORE or whatever. You can also indicate where the lister started in a hamlet, for example.

Sample Selection The sampling work is done by the supervisor. The first steps are done at the foot of the first page of the listing form. The steps to be taken are as follows:

1. Fill in the numbers asked for at the foot of the last listing page, as follows:
2. M: enter the total number of households listed (same as last household number shown).
3. Interval L: calculate (M / 15) to the nearest whole number.
4. R: This is a random number with 3-digit decimals between 0.000 and 0.999.

5. MR: multiply M by R and round to the nearest whole number. (If decimal 0.5, round up).

6. MR gives the 1st selection. (Exception: If MR=0, L gives the first selection.) Enter S against this line in the selection column of the list.

7. Count down the list, beginning after the 1st selection, a distance of L lines to get the 2nd selection, then another L to get the 3rd, etc. When you come to the bottom of the list, jump back to the top as if the list were circular. Stop after the 15th selection. Mark the 13th, 14th, and 15th selections "RES" (for reserve). Mark the 1st - 12th selection "S" (for selection).

Mode of data collection

Face-to-face [f2f]

Research instrument

The 1996 Papua New Guinea Household Survey questionnaire consists of three basic parts:

Household questionnaire first visit: asks a series of questions about the household, discovering who lives there, what they do, their characteristics, where they live, and a little about what kinds of things they consume. This questionnaire consists of the following sections. - Section 1. Household Roster - Section 2. Education - Section 3. Income Sources - Section 4. Health - Section 5. Foods in the Diet - Section 6. Housing Conditions - Section 7. Agricultural Assets, Inputs and Services - Section 8. Anthropometrics - Section 9. Household Stocks

Consumption recall (second visit questionnaire): is focused primarily on assessing the household's expenditure, gift giving and recieving, production, and level of wealth. The information in the first and second visits will provide information that can determine the household's level of consumption, nutrition, degree of food security, and ways in which it organizes its income earning activities. This questionnaire consists of the following sections. - Section 1. Purchases of Food - Section 2. Other Frequent Purchases - Section 3. Own-production of Food - Section 4. Gifts Received: Food and Frequent Purchases (START) - Section 5. Annual Expenses and Gifts - Section 6. Inventory of Durable Goods - Section 7. Inward Transfers of Money - Section 8. Outward Transfers of Money - Section 9. Prices - Section 10. Repeat of Anthropometric Measurements - Section 11. Quality of Life

Community Questionnaire: which is completed by the interview team in consultation with community leaders. This questionnaire also includes market price surveys that are carried out by the team when they are working in the community. Associated with this is a listing of all households in the community, which has to be done prior to the selection of the 12 households. This questionnaire consists of the following sections. - Section A. Listing of Community Assets - Section B. Education - Section C. Health - Section D. Town or Government Station - Section E: Transport and Communications - Section F. Prices - Section G. Changes in Economic Activity, Infrastructure, and Services

Abstract (en): The ongoing Consumer Expenditure Survey (CES) provides a continuous flow of information on the buying habits of American consumers and also furnishes data to support periodic revisions of the Consumer Price Index. The survey consists of two separate components: (1) a quarterly Interview Survey in which each consumer unit in the sample is interviewed every three months over a fifteen-month period, and (2) a Diary Survey completed by the sample consumer units for two consecutive one-week periods. The Diary Survey contains consumer information on small, frequently purchased items such as food, beverages, food consumed away from home, gasoline, housekeeping supplies, nonprescription drugs and medical supplies, and personal care products and services. Participants are asked to maintain expense records, or diaries, of all purchases made each day for two consecutive one-week periods. The Consumer Unit Characteristics and Income (FMLY) files supply information on consumer unit characteristics, consumer unit income, and characteristics and earnings of the reference person and his or her spouse. A consumer unit consists of all members of a particular housing unit who are related by blood, marriage, adoption, or some other legal arrangement. Consumer unit determination for unrelated persons is based on financial independence. Member Characteristics (MEMB) files contain selected characteristics and earnings for each consumer unit member, including information on relationship to reference person. The Detailed Expenditures (EXPN) files present weekly data on expenditures at the Universal Classification Code (UCC) level, while Income (DTAB) files contain data on CU characteristics and income at the UCC level. Part 20, Documentation File, includes a sample program and a list of the FMLY, MEMB, EXPN, and DTAB variables by start position. Part 17, Aggregation File, and Part 18, Label File, contain processing files used by the program in Part 20. Parts 25 and 26 are SAS programs that generate means, variances, standard errors, and coefficients of variation. Noninstitutional civilian population of the United States. National probability sample of households designed to represent the total noninstitutional civilian population. 2006-01-12 All files were removed from dataset 24 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 23 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 22 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 21 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 20 and flagged as study-level files, so that they will accompany all downloads. The codebook is provided as an MSWord 7 file and as a Portable Document Format (PDF) file, and the data collection instruments are provided as PDF files. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided through the ICPSR Website on the Internet.

Graph and download economic data for Harmonized Index of Consumer Prices: Food for Portugal (CP0110PTM086NEST) from Jan 1996 to May 2025 about Portugal, harmonized, food, CPI, price index, indexes, and price.