Property characteristics and parcel boundaries, shoreline features, and sea level rise inundation vulnerability for the state of Maryland. This dataset is not publicly accessible because: EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: Data on property attributes and parcel boundaries from MdProperty View can be accessed at https://planning.maryland.gov/Pages/OurProducts/PropertyMapProducts/MDPropertyViewProducts.aspx Data on shoreline features for Anne Arundel County can be accessed at http://ccrm.vims.edu/gis_data_maps/shoreline_inventories/maryland/anne_arundel/annearundel_disclaimer.html Data on sea level rise inundation vulnerability for Maryland coastal counties can be accessed at https://imap.maryland.gov/ServicesMetadata/ClimMetAtm/SeaLevelRiseVul/ELEV_2FootInundation_CGIS.htm. Format: Property sales and attribute data were obtained from MdProperty View and include numeric data as well as georeferenced parcel data. Georeferenced data on shoreline features, including adaptation structures, come from a joint program between the Virginia Institute of Marine Science, the Maryland Department of Natural Resources, and the National Oceanic and Atmospheric Agency (NOAA). Georeferenced sea level rise inundation vulnerability data were produced in a joint project between NOAA, the Maryland Commission on Climate Change, and Towson University. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Several states in the United States are expected to incur costs associated to sea-level rise adaptation measures by 2040. Florida will be the most impacted state; it is forecast that adaptation costs due to sea-level rise will reach almost ** billion U.S. dollars.

This dataset contains the predicted prices of Rise above it for the upcoming years based on user-defined projections.

This dataset contains the predicted prices of Rise Industries for the upcoming years based on user-defined projections.

This dataset contains the predicted prices of the asset Rise Industries over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

According to a survey, in 2022, ** percent of Brazilian consumers attributed the rise in food prices to climate change. By 2024, this percentage had decreased to ** percent.

This dataset contains the predicted prices of the asset We Rise over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

This dataset tracks annual reduced-price lunch eligibility from 2005 to 2023 for Rise vs. Texas and Alvin Independent School District

When surveyed in March 2024, some ** percent of respondents in the U.S. stated that they expected grocery prices to increase. This figure peaked at ** percent in April 2024.

This dataset tracks annual reduced-price lunch eligibility from 2019 to 2023 for Da Vinci Rise High School vs. California and Da Vinci RISE High School District

When surveyed in July 2025, some ** percent of respondents in the United Kingdom stated that they expected grocery prices to increase. This figure initially increased from the start of the survey period in September 2021 and peaked at ** percent in June and October 2022.

This dataset tracks annual reduced-price lunch eligibility from 2019 to 2023 for Rise Kohyang High School vs. California and RISE Kohyang High School District

This dataset tracks annual reduced-price lunch eligibility from 2002 to 2023 for Rise vs. California and Lancaster Elementary School District

This dataset contains the predicted prices of the asset Rise Above the Red over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

This dataset contains the predicted prices of We Rise for the upcoming years based on user-defined projections.

Key information about House Prices Growth

• US house prices grew 5.2% YoY in Dec 2024, following an increase of 5.4% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 1992 to Dec 2024, with an average growth rate of 5.4%.
• House price data reached an all-time high of 17.7% in Sep 2021 and a record low of -12.4% in Dec 2008.

This dataset contains calculated rates of sea-level rise derived from the nearest NOAA National Water Level Observation Network (NWLON) stations relevant for each tidal wetland monitoring site. Calculated rates include the entire record for long-term, as well as more limited dataset for more recent 19-year rates. The 19-year rates were calculated to end at the most recent surface elevation table (SET) measurement. Rates are directly compared with rates from SET measurements of surface elevation change to provide estimates of vulnerability to sea level rise.

On averagethe proportion of consumers who expect food prices to rise has decreased slightly in the past two years. As of February 2024, ** percent of Americans are expecting price increase over the next 12 months.

This dataset tracks annual reduced-price lunch eligibility from 2019 to 2023 for R.i.s.e. Program vs. Minnesota and River Bend Education School District

Japan OS: Comments on the Price Rise: Rather Favorable data was reported at 4.600 % in Sep 2018. This records an increase from the previous number of 4.200 % for Jun 2018. Japan OS: Comments on the Price Rise: Rather Favorable data is updated quarterly, averaging 2.800 % from Jun 2006 (Median) to Sep 2018, with 50 observations. The data reached an all-time high of 4.600 % in Sep 2018 and a record low of 0.500 % in Mar 2009. Japan OS: Comments on the Price Rise: Rather Favorable data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.S073: Opinion Survey (OS) on the General Public's Views and Behavior: On Household Circumstances .