Realty Income reported $199.61M in Net Income for its fiscal quarter ending in December of 2024. Data for Realty Income | O - Net Income including historical, tables and charts were last updated by Trading Economics this last March in 2025.

Data taken from O*NET, OES, and independent researchers, cleaned, filtered, and reshaped in formats that should be more accessible and useful for fellow researchers. Filtering primarily consisted of taking a series of datasets with different formats and updates at specific time periods and transformating them into a single data format, easily accessible and searchable. Data can be easily selected for only OES or only O*NET data points. All code and raw data are included. Additional included analysis demonstrates how to use interpolation to approximate missing values in the sparse data set to match against an O*NET variable of interest.

This database automatically includes metadata, the source of which is the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL USE OF THE REPUBLIC OF SLOVENIA and corresponding to the source database entitled “Employed persons by amount of net earnings by activity (NACE Rev. 2), employment status and sex, Slovenia, 2009-2020”.

Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

981 Global import shipment records of Net Weight with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Digital Realty reported 20,150 square feet of net rentable space in North America in 2023 - a lower figure than that reported for 2022. This was partially offset by an increase in space made available for rent in Europe and Africa.

Spatial analysis and statistical summaries of the Protected Areas Database of the United States (PAD-US) provide land managers and decision makers with a general assessment of management intent for biodiversity protection, natural resource management, and recreation access across the nation. The PAD-US 3.0 Combined Fee, Designation, Easement feature class (with Military Lands and Tribal Areas from the Proclamation and Other Planning Boundaries feature class) was modified to remove overlaps, avoiding overestimation in protected area statistics and to support user needs. A Python scripted process ("PADUS3_0_CreateVectorAnalysisFileScript.zip") associated with this data release prioritized overlapping designations (e.g. Wilderness within a National Forest) based upon their relative biodiversity conservation status (e.g. GAP Status Code 1 over 2), public access values (in the order of Closed, Restricted, Open, Unknown), and geodatabase load order (records are deliberately organized in the PAD-US full inventory with fee owned lands loaded before overlapping management designations, and easements). The Vector Analysis File ("PADUS3_0VectorAnalysisFile_ClipCensus.zip") associated item of PAD-US 3.0 Spatial Analysis and Statistics ( https://doi.org/10.5066/P9KLBB5D ) was clipped to the Census state boundary file to define the extent and serve as a common denominator for statistical summaries. Boundaries of interest to stakeholders (State, Department of the Interior Region, Congressional District, County, EcoRegions I-IV, Urban Areas, Landscape Conservation Cooperative) were incorporated into separate geodatabase feature classes to support various data summaries ("PADUS3_0VectorAnalysisFileOtherExtents_Clip_Census.zip") and Comma-separated Value (CSV) tables ("PADUS3_0SummaryStatistics_TabularData_CSV.zip") summarizing "PADUS3_0VectorAnalysisFileOtherExtents_Clip_Census.zip" are provided as an alternative format and enable users to explore and download summary statistics of interest (Comma-separated Table [CSV], Microsoft Excel Workbook [.XLSX], Portable Document Format [.PDF] Report) from the PAD-US Lands and Inland Water Statistics Dashboard ( https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-statistics ). In addition, a "flattened" version of the PAD-US 3.0 combined file without other extent boundaries ("PADUS3_0VectorAnalysisFile_ClipCensus.zip") allow for other applications that require a representation of overall protection status without overlapping designation boundaries. The "PADUS3_0VectorAnalysis_State_Clip_CENSUS2020" feature class ("PADUS3_0VectorAnalysisFileOtherExtents_Clip_Census.gdb") is the source of the PAD-US 3.0 raster files (associated item of PAD-US 3.0 Spatial Analysis and Statistics, https://doi.org/10.5066/P9KLBB5D ). Note, the PAD-US inventory is now considered functionally complete with the vast majority of land protection types represented in some manner, while work continues to maintain updates and improve data quality (see inventory completeness estimates at: http://www.protectedlands.net/data-stewards/ ). In addition, changes in protected area status between versions of the PAD-US may be attributed to improving the completeness and accuracy of the spatial data more than actual management actions or new acquisitions. USGS provides no legal warranty for the use of this data. While PAD-US is the official aggregation of protected areas ( https://www.fgdc.gov/ngda-reports/NGDA_Datasets.html ), agencies are the best source of their lands data.

3453 Global import shipment records of Net with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Japan BAC: NM: MQ: Ratio of Net Worth data was reported at 64.700 % in Mar 2018. This records an increase from the previous number of 56.600 % for Dec 2017. Japan BAC: NM: MQ: Ratio of Net Worth data is updated quarterly, averaging 33.000 % from Jun 1954 (Median) to Mar 2018, with 256 observations. The data reached an all-time high of 66.142 % in Mar 2011 and a record low of 10.700 % in Dec 1974. Japan BAC: NM: MQ: Ratio of Net Worth data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Japan – Table JP.S053: Business Accounts of Corporation: By Industry.

Japan BAC: NM: SE: SP: Ratio of Net Worth data was reported at 49.900 % in Mar 2018. This records a decrease from the previous number of 50.000 % for Dec 2017. Japan BAC: NM: SE: SP: Ratio of Net Worth data is updated quarterly, averaging 56.671 % from Jun 2009 (Median) to Mar 2018, with 36 observations. The data reached an all-time high of 58.717 % in Sep 2012 and a record low of 49.500 % in Jun 2017. Japan BAC: NM: SE: SP: Ratio of Net Worth data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Japan – Table JP.S053: Business Accounts of Corporation: By Industry.

Japan BAC: Mfg: IC: Ratio of Net Worth data was reported at 50.000 % in Mar 2018. This records an increase from the previous number of 48.600 % for Dec 2017. Japan BAC: Mfg: IC: Ratio of Net Worth data is updated quarterly, averaging 40.705 % from Jun 2004 (Median) to Mar 2018, with 56 observations. The data reached an all-time high of 50.000 % in Mar 2018 and a record low of 24.854 % in Mar 2010. Japan BAC: Mfg: IC: Ratio of Net Worth data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Japan – Table JP.S053: Business Accounts of Corporation: By Industry.

Congo, Republic of CG: School Enrollment: Primary: Female: % Net data was reported at 91.646 % in 2012. This records an increase from the previous number of 84.619 % for 2010. Congo, Republic of CG: School Enrollment: Primary: Female: % Net data is updated yearly, averaging 86.039 % from Dec 1972 (Median) to 2012, with 14 observations. The data reached an all-time high of 92.624 % in 1979 and a record low of 52.422 % in 2006. Congo, Republic of CG: School Enrollment: Primary: Female: % Net data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Education Statistics. Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.;UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.;Weighted average;

60692 Global import shipment records of Net with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

25249 Global import shipment records of Net with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

60 Global import shipment records of Net Card with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

24 Global import shipment records of Net with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

308 Global import shipment records of Net Cable with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

9129 Global export shipment records of Net with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

1517 Global import shipment records of Net Fishing with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

152937 Global export shipment records of Net with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

72184 Global import shipment records of Net with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.