United States Exports to Canada was US$348.41 Billion during 2024, according to the United Nations COMTRADE database on international trade. United States Exports to Canada - data, historical chart and statistics - was last updated on June of 2025.

Companies importing and exporting electricity hold regulatory authorization from the CER and are required to report their export/import activities each month. Generated electricity not consumed domestically is exported. Electricity trade with United States is affected by prices, weather, power-line infrastructure and regional supply and demand. All these cause trade to vary from year to year. Canada also imports some electricity from the United States. The integrated Canada-US power grid allows for bi-directional flows to help meet fluctuating regional supply and demand. This dataset provides historical import and export volumes, values, and prices (by year and month) broken out by source and destination.

Canada Imports from United States was US$275.08 Billion during 2024, according to the United Nations COMTRADE database on international trade. Canada Imports from United States - data, historical chart and statistics - was last updated on July of 2025.

Annual data on Canadian international merchandise trade by province, trading partners and products on a customs basis. Trade data for 255 trading partners are included with an all country aggregate. Product data are presented using the North American Product Classification System at the section level.

Trade in goods by exporter characteristics data available by North American Industry Classification System (NAICS) industry codes at the establishment level. Users have the option of selecting information related to the value of exports and the number of exporting establishments in all provinces and territories in Canada.

United States Imports from Canada of Iron and steel was US$7.69 Billion during 2024, according to the United Nations COMTRADE database on international trade. United States Imports from Canada of Iron and steel - data, historical chart and statistics - was last updated on July of 2025.

This table contains 5992 series, with data for years 1963 - 1987 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Country or areas of origin (26 items: All countries; European Economic Community (1986) (E.E.C.); Other Organisation for Economic Co-operation and Development countries (excluding European Economic Community (86) (E.E.C.), United States and Japan); Other America (excluding United States); ...) Summary import groups (SIG) and other aggregations (267 items: Total imports; Total live animals; Total food, feed, beverages and tobacco; Meat and meat preparations; ...).

The value added in exports database provides data on the exports and imports of industries, as well as on the direct and indirect impact of each industry’s production for exports on industry and on total gross domestic product and jobs. Industry impacts can be viewed from the perspective of their incidence on other industries or from the perspective of an industry’s dependence on other industries. The data rely on the supply and use tables, which provide the basis for the calculations. Beginning with reference year 2013, a provincial and territorial dimension has been added to the measures. Imports embodied in exports have also been expanded to show their United States (US) and non-US origins.

Historical (real-time) releases of merchandise imports and exports with data for years 1988 - current.

Canada Exports to United Kingdom was US$20.65 Billion during 2024, according to the United Nations COMTRADE database on international trade. Canada Exports to United Kingdom - data, historical chart and statistics - was last updated on July of 2025.

The United States' total Imports in 2024 were valued at US$3.36 Trillion, according to the United Nations COMTRADE database on international trade. The United States' main import partners were: Mexico, China and Canada. The top three import commodities were: Machinery, nuclear reactors, boilers; Electrical, electronic equipment and Vehicles other than railway, tramway. Total Exports were valued at US$2.06 Trillion. In 2024, The United States had a trade deficit of US$1.29 Trillion.

Canada Imports from China was US$64.69 Billion during 2024, according to the United Nations COMTRADE database on international trade. Canada Imports from China - data, historical chart and statistics - was last updated on July of 2025.

The Canadian Disaster Database is a publicly accessible web-based repository of historical information about natural and man-made disasters that have taken place since 1900 in Canada or abroad that have directly affected Canadians. The database contains information on over 1000 events and can be used to support research, academic activities and decision-making across a breadth of fields including earth sciences, agriculture, climate change, biology and epidemiology, land use planning, insurance, investment, and the anthropological and sociological aspects of community resilience, among many others. Canada endeavours to provide the best information possible; however, the information contained in the Canadian Disaster Database (CDD) is based on information that is sourced from outside parties and may not be accurate. Canada makes no representations, warranties, or guarantees, express or implied, that the data contained in the CDD may be relied upon for any use whatsoever. Canada accepts no responsibility or liability for inaccuracies, errors or omissions in the data and any loss, damage or costs incurred as a result of using or relying on the data in any way. The CDD may contain material that is subject to licensing requirements or copyright restrictions and may not be reproduced, published, distributed or transferred in whole or in part without the consent of the author. The CDD shares information on events that have fully concluded to ensure that the data reflects the event appropriately (i.e., insurance and disaster recovery payment information is available). For this reason, events for which the costs and/or other impacts have not fully recorded contributes to a delay in making them available through the CDD. If you have technical questions about accessing or using the data in the CDD, please write to us at ps.cdd-bdc.sp@ps-sp.gc.ca.

This sampling frame is a set of grid-based finite-area frames spanning Canada, the United States, and Mexico. The grid for the United States is broken into individual grids for the continental United States, Hawaii, and Puerto Rico. Alaska is combined with Canada into a single grid. Each country/state/territory extent consists of four nested sampling grids at 50x50km, 10x10km, 5x5km, and 1x1km resolutions. The original 10x10km continental United States grid was developed by the Forest Service, U.S. Department of Agriculture for use in the interagency "Bat Grid" monitoring program in the Pacific Northwest and was expanded program in the Pacific Northwest and was expanded program in the Pacific Northwest and was expanded across Canada, the United States, and Mexico for the North American Bat Monitoring Program (NABat). Additional grids for Hawaii and Puerto Rico were created for this data release. These vector dataset grids for Alaska and Canada are at 50x50km, 10x10km, 5x5km, and 1x1km resolutions.

About this dataset

Context

The dataset presents median household incomes for various household sizes in New Canada, Maine, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, New Canada town did not include 6, or 7-person households. Across the different household sizes in New Canada town the mean income is $103,835, and the standard deviation is $59,699. The coefficient of variation (CV) is 57.49%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $16,552. It then further increased to $136,465 for 5-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/new-canada-me-median-household-income-by-household-size.jpeg" alt="New Canada, Maine median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 New Canada town median household income. You can refer the same here

Analysis of ‘U.S.-Mexico-Canada Trade Agreement Collective Bargaining Modeling Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/61da207e-2b09-464e-b100-59c62318217c on 12 February 2022.

--- Dataset description provided by original source is as follows ---

This data release accompanies USITC Publication 4889, United States-Mexico-Canada Agreement: Likely Impact on the U.S. Economy and on Specific Industry Sectors, USITC investigation no. TPA 105-003. The data were used to perform the collective bargaining econometric modeling analysis as described in appendix F of the report.

--- Original source retains full ownership of the source dataset ---

About this dataset

Context

The dataset tabulates the New Canada town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for New Canada town. The dataset can be utilized to understand the population distribution of New Canada town by age. For example, using this dataset, we can identify the largest age group in New Canada town.

Key observations

The largest age group in New Canada, Maine was for the group of age 10-14 years with a population of 81 (20.00%), according to the 2021 American Community Survey. At the same time, the smallest age group in New Canada, Maine was the 80-84 years with a population of 1 (0.25%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the New Canada town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of New Canada town total population. 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 New Canada town Population by Age. You can refer the same here

This specialized location dataset delivers detailed information about marina establishments. Maritime industry professionals, coastal planners, and tourism researchers can leverage precise location insights to understand maritime infrastructure, analyze recreational boating landscapes, and develop targeted strategies.

How Do We Create Polygons? -All our polygons are manually crafted using advanced GIS tools like QGIS, ArcGIS, and similar applications. This involves leveraging aerial imagery and street-level views to ensure precision. -Beyond visual data, our expert GIS data engineers integrate venue layout/elevation plans sourced from official company websites to construct detailed indoor polygons. This meticulous process ensures higher accuracy and consistency. -We verify our polygons through multiple quality checks, focusing on accuracy, relevance, and completeness.

What's More? -Custom Polygon Creation: Our team can build polygons for any location or category based on your specific requirements. Whether it’s a new retail chain, transportation hub, or niche point of interest, we’ve got you covered. -Enhanced Customization: In addition to polygons, we capture critical details such as entry and exit points, parking areas, and adjacent pathways, adding greater context to your geospatial data. -Flexible Data Delivery Formats: We provide datasets in industry-standard formats like WKT, GeoJSON, Shapefile, and GDB, making them compatible with various systems and tools. -Regular Data Updates: Stay ahead with our customizable refresh schedules, ensuring your polygon data is always up-to-date for evolving business needs.

Unlock the Power of POI and Geospatial Data With our robust polygon datasets and point-of-interest data, you can: -Perform detailed market analyses to identify growth opportunities. -Pinpoint the ideal location for your next store or business expansion. -Decode consumer behavior patterns using geospatial insights. -Execute targeted, location-driven marketing campaigns for better ROI. -Gain an edge over competitors by leveraging geofencing and spatial intelligence.

Why Choose LocationsXYZ? LocationsXYZ is trusted by leading brands to unlock actionable business insights with our spatial data solutions. Join our growing network of successful clients who have scaled their operations with precise polygon and POI data. Request your free sample today and explore how we can help accelerate your business growth.

Dataset Card for "meta-shepherd-human-data"

Original Dataset: https://github.com/facebookresearch/Shepherd

  Example

Question: Where on the planet would you expect a bald eagle to live?

Here are the options: Option 1: colorado Option 2: outside Option 3: protection Option 4: zoo exhibit Option 5: world

Please choose the correct option and justify your choice:

Answer: Bald eagles are found throughout most of North America, from Alaska and Canada south to… See the full description on the dataset page: https://huggingface.co/datasets/philschmid/meta-shepherd-human-data.

This is version 2 of quality checked and gap-filled daily MODIS observations of surface reflectance and land surface temperature at global eddy co-variance sites for the time period 2000-2022. Two product versions: one features all MODIS pixels within 2km radius around a given site, and a second version consists of an average time series that represents the area within 1km2 around a site. All data layers have a complementary layer with gap-fill information. MODIS data comprise 647 eddy covariance sites (see a detailed list in the README of version 2). FluxnetEO v2 MODIS reflectance products: enhanced vegetation index (EVI), normalized difference vegetation index (NDVI), generalized NDVI (kNDVI), near infra-red reflectance of vegetation (NIRv), normalized difference water index (NDWI) with band 5, 6, or 7 as reference, the scaled wide dynamic range vegetation index (sWDRVI), surface reflectance in MODIS bands 1-7. Based on the NASA MCD43A4 and MCD43A2 collection 6 products with a pixel size of 500m. FluxnetEO v2 MODIS land surface temperature: Terra and Aqua, day and night, at native viewing zenith angle as well as corrected to viewing zenith angles of 0 and 40degrees (Ermida et al., 2018, RS, https://www.mdpi.com/2072-4292/10/7/1114). Based on NASA MOD11A1 and MYD11A1 collection 6 at a pixel size of 1km. This is version 2 of the data described in Walther* & Besnard* et al. 2022. A view from space on global flux towers by MODIS and Landsat: The FluxnetEO dataset, Biogeosciences, https://doi.org/10.5194/bg-19-2805-2022. Please refer to the README of version2 to understand the details of the updates between version1 (described in the paper) and version2. The data are separated in zip-files by continents and groups of countries. ZIP archive of netcdf files for stations in Americas: CA-ARB, CA-ARF, CA-CF1, CA-CF2, CA-Ca1, CA-Ca2, CA-Ca3, CA-Cbo, CA-Cha, CA-DB2, CA-DBB, CA-DL1, CA-DL2, CA-ER1, CA-Fen, CA-Gro, CA-HPC, CA-JMW, CA-KLP, CA-LP1, CA-Let, CA-LuM, CA-MA1, CA-MA2, CA-MA3, CA-MR3, CA-MR5, CA-Man, CA-Mer, CA-NS1, CA-NS2, CA-NS3, CA-NS4, CA-NS5, CA-NS6, CA-NS7, CA-NS8, CA-Na1, CA-Na2, CA-Oas, CA-Obs, CA-Ojp, CA-Qc2, CA-Qcu, CA-Qfo, CA-SCC, CA-SF1, CA-SF2, CA-SF3, CA-SJ1, CA-SJ2, CA-SJ3, CA-SMC, CA-TP1, CA-TP2, CA-TP3, CA-TP4, CA-TPD, CA-TVC, CA-WP1, CA-WP2, CA-WP3 Nelson, J., Walther, S., Weber, U. (2023). The FluxnetEO dataset (MODIS) for American stations located in Canada, 2000-01-01–2022-12-30, Miscellaneous, https://hdl.handle.net/11676/4JPsN7hq9sjaJNBNOWBU7g7G