Sugar rose to 16.56 USd/Lbs on July 11, 2025, up 1.83% from the previous day. Over the past month, Sugar's price has risen 1.84%, but it is still 13.76% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Sugar - values, historical data, forecasts and news - updated on July of 2025.

Sugar Price Index in World decreased to 103.70 Index Points in June from 109.40 Index Points in May of 2025. This dataset includes a chart with historical data for World Sugar Price Index.

The dataset presents the global price of coffee for mild arabica varieties, bananas, and sugar per pound, expressed in US dollars for Central America in general. The data have been assessed based on information obtained from the Federal Reserve Bank of St. Louis (FRED).

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

This Dataset contains state-wise daily wholesale and retail price of essential commodity Sugar

About this dataset

Context

The dataset tabulates the Sugar Grove population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Sugar Grove across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Sugar Grove was 9,210, a 0.35% increase year-by-year from 2022. Previously, in 2022, Sugar Grove population was 9,178, a decline of 0.76% compared to a population of 9,248 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Sugar Grove increased by 5,130. In this period, the peak population was 9,888 in the year 2019. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Sugar Grove is shown in this column.
• Year on Year Change: This column displays the change in Sugar Grove population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Sugar Grove Population by Year. You can refer the same here

Selling prices of sugar beet (unit value)

This dataset contains monthly historical prices of 10 different commodities from January 1980 to April 2023. The data was collected from the Alpha Vantage API using Python. The commodities included in the dataset are WTI crude oil, cotton, natural gas, coffee, sugar, aluminum, Brent crude oil, corn, copper, and wheat. Prices are reported in USD per unit of measurement for each commodity. The dataset contains 520 rows and 12 columns, with each row representing a monthly observation of the prices of the 10 commodities. The 'All_Commodities' column is new.

WTI: WTI crude oil price per unit of measurement (USD). COTTON: Cotton price per unit of measurement (USD). NATURAL_GAS: Natural gas price per unit of measurement (USD). ALL_COMMODITIES: A composite index that represents the average price of all 10 commodities in the dataset, weighted by their individual market capitalizations. Prices are reported in USD per unit of measurement. COFFEE: Coffee price per unit of measurement (USD). SUGAR: Sugar price per unit of measurement (USD). ALUMINUM: Aluminum price per unit of measurement (USD). BRENT: Brent crude oil price per unit of measurement (USD). CORN: Corn price per unit of measurement (USD). COPPER: Copper price per unit of measurement (USD). WHEAT: Wheat price per unit of measurement (USD).

Note that some values are missing in the dataset, represented by NaN. These missing values occur for some of the commodities in the earlier years of the dataset.

It may be useful for time series analysis and predictive modeling.

NaN values were included so that you as a Data Scientist can get some practice on dealing with NaN values.

https://www.alphavantage.co/documentation/

This dataset contains Food Prices data for India, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.

About this dataset

Context

The dataset tabulates the Sugar City population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Sugar City across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Sugar City was 245, a 5.77% decrease year-by-year from 2022. Previously, in 2022, Sugar City population was 260, a decline of 0.76% compared to a population of 262 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Sugar City decreased by 34. In this period, the peak population was 279 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Sugar City is shown in this column.
• Year on Year Change: This column displays the change in Sugar City population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Sugar City Population by Year. You can refer the same here

This dataset contains Food Prices data for Turkey, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.

This dataset contains Food Prices data for Mongolia, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.

This dataset contains information of the CAPEX, OPEX, raw material costs, and labor costs of a sugar beet pulp. These data can be used to perform techno-economic analysis. More information is provided in the file.

This dataset provides Cambodian food price data from the World Food Programme price database. The World Food Programme price database includes corn, rice, beans, fish, and sugar prices.

This dataset contains Food Prices data for Benin, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.

Average Retail Price: Sugar: Traditional Market: South Sulawesi data was reported at 17,700.000 IDR/kg in 16 May 2025. This stayed constant from the previous number of 17,700.000 IDR/kg for 15 May 2025. Average Retail Price: Sugar: Traditional Market: South Sulawesi data is updated daily, averaging 14,800.000 IDR/kg from Jul 2016 (Median) to 16 May 2025, with 2160 observations. The data reached an all-time high of 18,050.000 IDR/kg in 02 Apr 2020 and a record low of 12,800.000 IDR/kg in 07 Dec 2018. Average Retail Price: Sugar: Traditional Market: South Sulawesi data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Prices – Table ID.PB029: Average Retail Price: Traditional Market: By Regions: Sugar. [COVID-19-IMPACT]

The Global Food Prices Database has data on food prices (e.g., beans, rice, fish, and sugar) for 76 countries and some 1,500 markets. The dataset includes around 500,000 records and is updated monthly. The data goes back as far as 1992 for a few countries, although most of the price trends start in 2000-2002.

This dataset contains Food Prices data for Senegal, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.

This dataset contains Food Prices data for Armenia, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter. The dataset os part of WFP - Food Prices.

This dataset contains Food Prices data for Costa Rica, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.

Average Retail Price: Sugar: Traditional Market: Papua: Jayapura Municipality: Entrop Atau Hamadi Market data was reported at 21,500.000 IDR/kg in 16 May 2025. This stayed constant from the previous number of 21,500.000 IDR/kg for 15 May 2025. Average Retail Price: Sugar: Traditional Market: Papua: Jayapura Municipality: Entrop Atau Hamadi Market data is updated daily, averaging 16,750.000 IDR/kg from Jul 2016 (Median) to 16 May 2025, with 2149 observations. The data reached an all-time high of 21,500.000 IDR/kg in 16 May 2025 and a record low of 15,000.000 IDR/kg in 19 Jul 2021. Average Retail Price: Sugar: Traditional Market: Papua: Jayapura Municipality: Entrop Atau Hamadi Market data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Prices – Table ID.PB029: Average Retail Price: Traditional Market: By Regions: Sugar. [COVID-19-IMPACT]