In April 2025, the average monthly price of the Canadian oil benchmark Western Canadian Select amounted to ***** U.S. dollars per barrel. This was a decrease compared to the previous month. Western Canadian Select is a heavy sour blend of crude oil, produced exclusively in Western Canada. The importance of Canada’s oil sands Not only are the oil sands a vital part of the Canadian energy industry, they play a large part in the national economy as well. In 2023, the oil sands extraction industry contributed over ** billion Canadian dollars to Canada's GDP. This represented a share of **** percent of the total GDP. Furthermore, they are the largest single source of oil exports to their neighbors to the south, the United States. Oil sands are a combination of sand, water, and bitumen, and therefore a more expensive source of crude oil than conventional oil as oil sands require extensive processing. Meanwhile, that same year the contribution of conventional crude oil and gas extraction stood at ** billion Canadian dollars, which translated to **** percent of total GDP. Canada’s main oil export partner remains the U.S. In 2023, Canada’s oil exports amounted to over *** million barrels per day. This was a historical high and represented more than twice the amount exported in 2005 thanks to oil sand exploration. The United States is Canada’s main oil destination market, receiving ***** million metric tons in 2023. Far in second place came China, with *** million metric tons exported there that same year.

Crude Oil: Avg Price: Western Canada Select Hardisty data was reported at 340.390 CAD/Cub m in 27 Aug 2018. This records a decrease from the previous number of 343.420 CAD/Cub m for 24 Aug 2018. Crude Oil: Avg Price: Western Canada Select Hardisty data is updated daily, averaging 308.695 CAD/Cub m from Jan 2014 (Median) to 27 Aug 2018, with 1214 observations. The data reached an all-time high of 594.090 CAD/Cub m in 20 Jun 2014 and a record low of 121.290 CAD/Cub m in 10 Feb 2016. Crude Oil: Avg Price: Western Canada Select Hardisty data remains active status in CEIC and is reported by Kent Group Ltd.. The data is categorized under Daily Database’s Commodity Prices and Futures – Table CA.DP001: Average Price: Crude Oil.

On December 19, 2022, WCS prices closed at ***** U.S. dollars per barrel. This was an increase compared to the previous week. Crude oil prices reached over 100 U.S. dollars on March 7 and May 16, following concerns by market traders over tight supplies as a result of the Russia-Ukraine war. Western Canadian Select is the main benchmark for crude oil produced from oil sands in Alberta. It usually trades at around ** U.S. dollars below WTI - which is the reference price for crude oil originating in the United States.

Learn about the factors influencing the price of Western Canadian Select (WCS) oil, its characteristics and pricing relative to other benchmark crude oils, and the fluctuations in the WCS-WTI differential. Stay informed on the current market trends and consult reliable sources for up-to-date information.

The Western Canadian Select (WCS) oil price has experienced significant fluctuations over the past two decades, reflecting the volatile nature of global oil markets. In 2024, the annual average WCS oil price reached ***** U.S. dollars per barrel, a slight increase from the previous year. This price movement is part of a broader trend in the oil industry, where prices have been influenced by various economic and geopolitical factors. What impacts oil prices? Oil prices have been on a rollercoaster ride since the early 2000s, with dramatic fluctuations observed in OPEC Reference Basket oils. For instance, the Saharan Blend from Algeria saw its price rise from about ** U.S. dollars per barrel in 2002 to over *** U.S. dollars a decade later, before settling at ***** U.S. dollars in 2023. These price swings have been driven by major events such as the 2008 global financial crisis, the 2020 coronavirus pandemic, and the 2022 energy supply crisis following the Russia-Ukraine war. The volatility in oil prices has had far-reaching impacts on global economies and energy markets as they impact manufacturers and consumers. How regionally important crudes can influence the global economy While WCS prices reflect trends in the North American market, other regional benchmarks provide insights into global oil dynamics. For example, Dubai Crude (Fateh), an important benchmark for Asia, averaged ***** U.S. dollars per barrel in 2023, down from ***** U.S. dollars the previous year. Similarly, Russia's Urals crude oil, a major export brand, saw its price fluctuate in response to global events and policy decisions, such as the price cap imposed by the G7, EU, and Australia in December 2022. These regional variations highlight the complex interplay of supply, demand, and geopolitical factors in shaping global oil prices.

Avg Price: Crude Oil: Western Canada Select Hardisty data was reported at 392.060 CAD/Cub m in Jul 2018. This records an increase from the previous number of 387.380 CAD/Cub m for Jun 2018. Avg Price: Crude Oil: Western Canada Select Hardisty data is updated monthly, averaging 306.860 CAD/Cub m from Jan 2014 (Median) to Jul 2018, with 55 observations. The data reached an all-time high of 584.040 CAD/Cub m in Jun 2014 and a record low of 153.130 CAD/Cub m in Feb 2016. Avg Price: Crude Oil: Western Canada Select Hardisty data remains active status in CEIC and is reported by Kent Group Ltd.. The data is categorized under Global Database’s Canada – Table CA.P001: Average Price: Crude Oil.

GDP Nowcast: saar: YoY: Contribution: Energy: Crude Oil Price: Avg: Western Canada Select Hardisty data was reported at 0.000 % in 12 May 2025. This stayed constant from the previous number of 0.000 % for 05 May 2025. GDP Nowcast: saar: YoY: Contribution: Energy: Crude Oil Price: Avg: Western Canada Select Hardisty data is updated weekly, averaging 0.000 % from Jan 2019 (Median) to 12 May 2025, with 332 observations. The data reached an all-time high of 8.406 % in 21 Oct 2019 and a record low of 0.000 % in 12 May 2025. GDP Nowcast: saar: YoY: Contribution: Energy: Crude Oil Price: Avg: Western Canada Select Hardisty data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Canada – Table CA.CEIC.NC: CEIC Nowcast: Gross Domestic Product (GDP).

The Canadian Crude Index price refers to the benchmark price for various types of crude oil produced in Canada. This article explains the different components of the index, including Western Canada Select, Canadian Light Sweet, and Synthetic Crude Oil. It discusses the factors that influence the index price and its importance in the Canadian oil industry. Additionally, it highlights how the index is used for financial contracts and decision making in the industry.

Learn about the factors that impact the price of Western Canadian Select (WCS) oil, including global oil supply and demand, transportation costs, quality differentials, and market speculation.

The price of Canadian oil represents the price of Western Canadian Select (WCS), the price obtained by most Alberta producers of oil. Annual figures are presented as the equally weighted average of monthly averages. Figures are derived from published Economic Dashboard of Alberta and Bank of Canada data.

加拿大 Crude Oil: Avg Price: Western Canada Select Hardisty在2018-08-27达340.390 CAD/Cub m，相较于2018-08-24的343.420 CAD/Cub m有所下降。加拿大 Crude Oil: Avg Price: Western Canada Select Hardisty数据按每日更新，2014-01-01至2018-08-27期间平均值为308.695 CAD/Cub m，共1214份观测结果。该数据的历史最高值出现于2014-06-20，达594.090 CAD/Cub m，而历史最低值则出现于2016-02-10，为121.290 CAD/Cub m。CEIC提供的加拿大 Crude Oil: Avg Price: Western Canada Select Hardisty数据处于定期更新的状态，数据来源于Kent Group Ltd.，数据归类于Daily Database的Commodity Prices and Futures – Table CA.DP001: Average Price: Crude Oil。

加拿大 Avg Price: Crude Oil: Western Canada Select Hardisty在2018-07达392.060 CAD/Cub m，相较于2018-06的387.380 CAD/Cub m有所增长。加拿大 Avg Price: Crude Oil: Western Canada Select Hardisty数据按月度更新，2014-01至2018-07期间平均值为306.860 CAD/Cub m，共55份观测结果。该数据的历史最高值出现于2014-06，达584.040 CAD/Cub m，而历史最低值则出现于2016-02，为153.130 CAD/Cub m。CEIC提供的加拿大 Avg Price: Crude Oil: Western Canada Select Hardisty数据处于定期更新的状态，数据来源于Kent Group Ltd.，数据归类于Global Database的加拿大 – Table CA.P001: Average Price: Crude Oil。

The price rate of change (ROC) in Western European countries* across various time periods in the late twentieth century fluctuate greatly. In the 13 years between 1960 and 1973, the average price of items increased by just 4.6 percent, compared to an increase of 12.4 percent in the seven years between 1973 and 1980. This spike came as a result of the recession of 1973-1975 and the oil shock of 1979, as conflict in the Middle East led to significant rises in oil prices in Western Europe, whose economies had become increasingly dependent on foreign oil imports to sustain industrial production. Further conflicts in the region led to additional recessions in the west in the early 1980s, and price ROC in Western Europe remained relatively high at 8.8 percent in the first half of the decade. A series of domestic and international policy changes helped to stabilize inflation across Western Europe in the second half of the decade, and the price ROC dropped to just 4.1 percent over these five years.

The Canadian light oil price, also known as the Western Canadian Select (WCS), is the benchmark price for Canadian oil sands crude. Learn about the factors affecting its price, including pipeline infrastructure, global oil market dynamics, and geopolitical events.

Since 2017, Canadian crude oil exports by rail increased, peaking at nearly 412 thousand barrels per day as of January 2020. However, in the following months, crude oil exports by rail continuously dropped, as a result of the coronavirus pandemic, which led to a reduced oil demand and saw the Western Canadian Select price fall significantly. As of June 2020, figures reached a low of 42.8 thousand barrels per day.

Abstract

The Consumer price surveys primarily provide the following: Data on CPI in Palestine covering the West Bank, Gaza Strip and Jerusalem J1 for major and sub groups of expenditure. Statistics needed for decision-makers, planners and those who are interested in the national economy. Contribution to the preparation of quarterly and annual national accounts data.

Consumer Prices and indices are used for a wide range of purposes, the most important of which are as follows: Adjustment of wages, government subsidies and social security benefits to compensate in part or in full for the changes in living costs. To provide an index to measure the price inflation of the entire household sector, which is used to eliminate the inflation impact of the components of the final consumption expenditure of households in national accounts and to dispose of the impact of price changes from income and national groups. Price index numbers are widely used to measure inflation rates and economic recession. Price indices are used by the public as a guide for the family with regard to its budget and its constituent items. Price indices are used to monitor changes in the prices of the goods traded in the market and the consequent position of price trends, market conditions and living costs. However, the price index does not reflect other factors affecting the cost of living, e.g. the quality and quantity of purchased goods. Therefore, it is only one of many indicators used to assess living costs. It is used as a direct method to identify the purchasing power of money, where the purchasing power of money is inversely proportional to the price index.

Geographic coverage

Palestine West Bank Gaza Strip Jerusalem

Analysis unit

The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

Universe

The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

Kind of data

Sample survey data [ssd]

Sampling procedure

A non-probability purposive sample of sources from which the prices of different goods and services are collected was updated based on the establishment census 2017, in a manner that achieves full coverage of all goods and services that fall within the Palestinian consumer system. These sources were selected based on the availability of the goods within them. It is worth mentioning that the sample of sources was selected from the main cities inside Palestine: Jenin, Tulkarm, Nablus, Qalqiliya, Ramallah, Al-Bireh, Jericho, Jerusalem, Bethlehem, Hebron, Gaza, Jabalia, Dier Al-Balah, Nusseirat, Khan Yunis and Rafah. The selection of these sources was considered to be representative of the variation that can occur in the prices collected from the various sources. The number of goods and services included in the CPI is approximately 730 commodities, whose prices were collected from 3,200 sources. (COICOP) classification is used for consumer data as recommended by the United Nations System of National Accounts (SNA-2008).

Sampling deviation

Not apply

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

A tablet-supported electronic form was designed for price surveys to be used by the field teams in collecting data from different governorates, with the exception of Jerusalem J1. The electronic form is supported with GIS, and GPS mapping technique that allow the field workers to locate the outlets exactly on the map and the administrative staff to manage the field remotely. The electronic questionnaire is divided into a number of screens, namely: First screen: shows the metadata for the data source, governorate name, governorate code, source code, source name, full source address, and phone number. Second screen: shows the source interview result, which is either completed, temporarily paused or permanently closed. It also shows the change activity as incomplete or rejected with the explanation for the reason of rejection. Third screen: shows the item code, item name, item unit, item price, product availability, and reason for unavailability. Fourth screen: checks the price data of the related source and verifies their validity through the auditing rules, which was designed specifically for the price programs. Fifth screen: saves and sends data through (VPN-Connection) and (WI-FI technology).

In case of the Jerusalem J1 Governorate, a paper form has been designed to collect the price data so that the form in the top part contains the metadata of the data source and in the lower section contains the price data for the source collected. After that, the data are entered into the price program database.

Cleaning operations

The price survey forms were already encoded by the project management depending on the specific international statistical classification of each survey. After the researcher collected the price data and sent them electronically, the data was reviewed and audited by the project management. Achievement reports were reviewed on a daily and weekly basis. Also, the detailed price reports at data source levels were checked and reviewed on a daily basis by the project management. If there were any notes, the researcher was consulted in order to verify the data and call the owner in order to correct or confirm the information.

At the end of the data collection process in all governorates, the data will be edited using the following process: Logical revision of prices by comparing the prices of goods and services with others from different sources and other governorates. Whenever a mistake is detected, it should be returned to the field for correction. Mathematical revision of the average prices for items in governorates and the general average in all governorates. Field revision of prices through selecting a sample of the prices collected from the items.

Response rate

Not apply

Sampling error estimates

The findings of the survey may be affected by sampling errors due to the use of samples in conducting the survey rather than total enumeration of the units of the target population, which increases the chances of variances between the actual values we expect to obtain from the data if we had conducted the survey using total enumeration. The computation of differences between the most important key goods showed that the variation of these goods differs due to the specialty of each survey. The variance of the key goods in the computed and disseminated CPI survey that was carried out on the Palestine level was for reasons related to sample design and variance calculation of different indicators since there was a difficulty in the dissemination of results by governorates due to lack of weights. Non-sampling errors are probable at all stages of data collection or data entry. Non-sampling errors include: Non-response errors: the selected sources demonstrated a significant cooperation with interviewers; so, there wasn't any case of non-response reported during 2019. Response errors (respondent), interviewing errors (interviewer), and data entry errors: to avoid these types of errors and reduce their effect to a minimum, project managers adopted a number of procedures, including the following: More than one visit was made to every source to explain the objectives of the survey and emphasize the confidentiality of the data. The visits to data sources contributed to empowering relations, cooperation, and the verification of data accuracy. Interviewer errors: a number of procedures were taken to ensure data accuracy throughout the process of field data compilation: Interviewers were selected based on educational qualification, competence, and assessment. Interviewers were trained theoretically and practically on the questionnaire. Meetings were held to remind interviewers of instructions. In addition, explanatory notes were supplied with the surveys. A number of procedures were taken to verify data quality and consistency and ensure data accuracy for the data collected by a questioner throughout processing and data entry (knowing that data collected through paper questionnaires did not exceed 5%): Data entry staff was selected from among specialists in computer programming and were fully trained on the entry programs. Data verification was carried out for 10% of the entered questionnaires to ensure that data entry staff had entered data correctly and in accordance with the provisions of the questionnaire. The result of the verification was consistent with the original data to a degree of 100%. The files of the entered data were received, examined, and reviewed by project managers before findings were extracted. Project managers carried out many checks on data logic and coherence, such as comparing the data of the current month with that of the previous month, and comparing the data of sources and between governorates. Data collected by tablet devices were checked for consistency and accuracy by applying rules at item level to be checked.

Data appraisal

Other technical procedures to improve data quality: Seasonal adjustment processes and estimations of non-available items' prices: Under each category, a number of common items are used in Palestine to calculate the price levels and to represent the commodity within the commodity group. Of course, it is

Philippines Retail Price: Well Milled Rice: Region 6: Western Visayas data was reported at 52.478 PHP/kg in 15 May 2025. This records a decrease from the previous number of 53.137 PHP/kg for 30 Apr 2025. Philippines Retail Price: Well Milled Rice: Region 6: Western Visayas data is updated daily, averaging 57.280 PHP/kg from Jun 2023 (Median) to 15 May 2025, with 47 observations. The data reached an all-time high of 59.630 PHP/kg in 15 Jun 2024 and a record low of 43.830 PHP/kg in 30 Jun 2023. Philippines Retail Price: Well Milled Rice: Region 6: Western Visayas data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.P: Retail Price: Selected Agricultural Commodities.

The average retail price for regular, unleaded gasoline at self-service stations in Canada was ***** Canadian cents per liter in May 2025. This was a slight increase compared to the previous month. Canada's gasoline prices are generally higher than those in the United States, but lower than in many European countries. Why do gasoline prices fluctuate? Crude oil prices, along with changing levels of consumer demand, are the two main factors which directly affect retail prices of motor fuels. Prices can witness a rapid increase or decrease depending on impacts on crude oil supplies, refinery operations, or pipeline deliveries. Even if crude prices remain steady, seasonal changes in demand can still affect retail prices. As a large oil producer, Canada's motor fuel prices are closely linked to its benchmark Western Canadian Select crude oil price. Gasoline refining capacities As of January 2024, the global gasoline refining capacity amounted to *** million barrels per day. The United States and Canada were the region with the largest gasoline refining capacity at *** million barrels per day. Much of this refining capacity is located in the United States, specifically.

Abstract

The Consumer price surveys primarily provide the following: Data on CPI in Palestine covering the West Bank, Gaza Strip and Jerusalem J1 for major and sub groups of expenditure. Statistics needed for decision-makers, planners and those who are interested in the national economy. Contribution to the preparation of quarterly and annual national accounts data.

Consumer Prices and indices are used for a wide range of purposes, the most important of which are as follows: Adjustment of wages, government subsidies and social security benefits to compensate in part or in full for the changes in living costs. To provide an index to measure the price inflation of the entire household sector, which is used to eliminate the inflation impact of the components of the final consumption expenditure of households in national accounts and to dispose of the impact of price changes from income and national groups. Price index numbers are widely used to measure inflation rates and economic recession. Price indices are used by the public as a guide for the family with regard to its budget and its constituent items. Price indices are used to monitor changes in the prices of the goods traded in the market and the consequent position of price trends, market conditions and living costs. However, the price index does not reflect other factors affecting the cost of living, e.g. the quality and quantity of purchased goods. Therefore, it is only one of many indicators used to assess living costs. It is used as a direct method to identify the purchasing power of money, where the purchasing power of money is inversely proportional to the price index.

Geographic coverage

Palestine West Bank Gaza Strip Jerusalem

Analysis unit

The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

Universe

The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

Kind of data

Sample survey data [ssd]

Sampling procedure

A non-probability purposive sample of sources from which the prices of different goods and services are collected was updated based on the establishment census 2017, in a manner that achieves full coverage of all goods and services that fall within the Palestinian consumer system. These sources were selected based on the availability of the goods within them. It is worth mentioning that the sample of sources was selected from the main cities inside Palestine: Jenin, Tulkarm, Nablus, Qalqiliya, Ramallah, Al-Bireh, Jericho, Jerusalem, Bethlehem, Hebron, Gaza, Jabalia, Dier Al-Balah, Nusseirat, Khan Yunis and Rafah. The selection of these sources was considered to be representative of the variation that can occur in the prices collected from the various sources. The number of goods and services included in the CPI is approximately 730 commodities, whose prices were collected from 3,200 sources. (COICOP) classification is used for consumer data as recommended by the United Nations System of National Accounts (SNA-2008).

Sampling deviation

Not apply

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

A tablet-supported electronic form was designed for price surveys to be used by the field teams in collecting data from different governorates, with the exception of Jerusalem J1. The electronic form is supported with GIS, and GPS mapping technique that allow the field workers to locate the outlets exactly on the map and the administrative staff to manage the field remotely. The electronic questionnaire is divided into a number of screens, namely: First screen: shows the metadata for the data source, governorate name, governorate code, source code, source name, full source address, and phone number. Second screen: shows the source interview result, which is either completed, temporarily paused or permanently closed. It also shows the change activity as incomplete or rejected with the explanation for the reason of rejection. Third screen: shows the item code, item name, item unit, item price, product availability, and reason for unavailability. Fourth screen: checks the price data of the related source and verifies their validity through the auditing rules, which was designed specifically for the price programs. Fifth screen: saves and sends data through (VPN-Connection) and (WI-FI technology).

In case of the Jerusalem J1 Governorate, a paper form has been designed to collect the price data so that the form in the top part contains the metadata of the data source and in the lower section contains the price data for the source collected. After that, the data are entered into the price program database.

Cleaning operations

The price survey forms were already encoded by the project management depending on the specific international statistical classification of each survey. After the researcher collected the price data and sent them electronically, the data was reviewed and audited by the project management. Achievement reports were reviewed on a daily and weekly basis. Also, the detailed price reports at data source levels were checked and reviewed on a daily basis by the project management. If there were any notes, the researcher was consulted in order to verify the data and call the owner in order to correct or confirm the information.

At the end of the data collection process in all governorates, the data will be edited using the following process: Logical revision of prices by comparing the prices of goods and services with others from different sources and other governorates. Whenever a mistake is detected, it should be returned to the field for correction. Mathematical revision of the average prices for items in governorates and the general average in all governorates. Field revision of prices through selecting a sample of the prices collected from the items.

Response rate

Not apply

Sampling error estimates

The findings of the survey may be affected by sampling errors due to the use of samples in conducting the survey rather than total enumeration of the units of the target population, which increases the chances of variances between the actual values we expect to obtain from the data if we had conducted the survey using total enumeration. The computation of differences between the most important key goods showed that the variation of these goods differs due to the specialty of each survey. For example, for the CPI, the variation between its goods was very low, except in some cases such as banana, tomato, and cucumber goods that had a high coefficient of variation during 2019 due to the high oscillation in their prices. The variance of the key goods in the computed and disseminated CPI survey that was carried out on the Palestine level was for reasons related to sample design and variance calculation of different indicators since there was a difficulty in the dissemination of results by governorates due to lack of weights. Non-sampling errors are probable at all stages of data collection or data entry. Non-sampling errors include: Non-response errors: the selected sources demonstrated a significant cooperation with interviewers; so, there wasn't any case of non-response reported during 2019. Response errors (respondent), interviewing errors (interviewer), and data entry errors: to avoid these types of errors and reduce their effect to a minimum, project managers adopted a number of procedures, including the following: More than one visit was made to every source to explain the objectives of the survey and emphasize the confidentiality of the data. The visits to data sources contributed to empowering relations, cooperation, and the verification of data accuracy. Interviewer errors: a number of procedures were taken to ensure data accuracy throughout the process of field data compilation: Interviewers were selected based on educational qualification, competence, and assessment. Interviewers were trained theoretically and practically on the questionnaire. Meetings were held to remind interviewers of instructions. In addition, explanatory notes were supplied with the surveys. A number of procedures were taken to verify data quality and consistency and ensure data accuracy for the data collected by a questioner throughout processing and data entry (knowing that data collected through paper questionnaires did not exceed 5%): Data entry staff was selected from among specialists in computer programming and were fully trained on the entry programs. Data verification was carried out for 10% of the entered questionnaires to ensure that data entry staff had entered data correctly and in accordance with the provisions of the questionnaire. The result of the verification was consistent with the original data to a degree of 100%. The files of the entered data were received, examined, and reviewed by project managers before findings were extracted. Project managers carried out many checks on data logic and coherence, such as comparing the data of the current month with that of the previous month, and comparing the data of sources and between governorates. Data collected by tablet devices were checked for consistency and accuracy by applying rules at item level to be checked.

Data appraisal

Other technical procedures to improve data quality: Seasonal adjustment processes