1 to 50 of 580 Results
Oct 31, 2023 - Restricted data
BC Assessment, 2020, "BC Assessment Data Advice and Inventory Extracts, 2016-2022", https://hdl.handle.net/11272.1/AB2/LAPUAB, Abacus Data Network, V6
The Data Advice product from BC Assessment (BCA) provides value assessments and sales information for properties in British Columbia. Two types of data files are available to UBC researchers: REVD (Revised Roll): annual report including property information and valuation for all... |
Oct 31, 2023 -
BC Assessment Data Advice and Inventory Extracts, 2016-2022
Plain Text - 13.0 MB -
MD5: c79e95e3eb6b4e8f5e85d2210d2347ff
Source data from BC Assessment |
Oct 31, 2023 -
BC Assessment Data Advice and Inventory Extracts, 2016-2022
ZIP Archive - 46.4 MB -
MD5: 1f7e809f7ae77d9dd95ff7a33d5dfaa8
Source data from BC Assessment |
Oct 31, 2023 -
BC Assessment Data Advice and Inventory Extracts, 2016-2022
Plain Text - 13.0 MB -
MD5: f68a11bfe0caa6355f0757b0967fc5dd
Source data for BC Assessment |
Oct 31, 2023 -
BC Assessment Data Advice and Inventory Extracts, 2016-2022
ZIP Archive - 47.0 MB -
MD5: 8b7732509cf5a9f44929de9f189e3cc4
Source data from BC Assessment |
Oct 31, 2023 -
BC Assessment Data Advice and Inventory Extracts, 2016-2022
Plain Text - 13.0 MB -
MD5: 2629f2cfa7969c73a6a732ec66aae311
Source data from BC Assessment |
Oct 31, 2023 -
BC Assessment Data Advice and Inventory Extracts, 2016-2022
ZIP Archive - 46.9 MB -
MD5: 15878b824c834961b47a589d52790614
Source data from BC Assessment |
Mar 16, 2023 - Statistics Canada Open License
Statistics Canada, 2023, "Labour Force Survey, 2020", https://hdl.handle.net/11272.1/AB2/GGXMM2, Abacus Data Network, V7, UNF:6:W9sad4Q/zPAxXZorNr5boQ== [fileUNF]
LFS data are used to produce the well-known unemployment rate as well as other standard labour market indicators such as the employment rate and the participation rate. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and... |
Mar 16, 2023 -
Labour Force Survey, 2020
Tabular Data - 9.8 MB - 60 Variables, 99174 Observations - UNF:6:9vSMwga7iL/bVuUL2puqQQ==
February 2020 data (subsettable) (original SPSS .sav) |
Mar 16, 2023 -
Labour Force Survey, 2020
Tabular Data - 9.8 MB - 60 Variables, 99175 Observations - UNF:6:tWdLyktvmGXHXZwWE4+hjQ==
January 2020 data (subsettable) (original SPSS .sav) |
Mar 16, 2023 -
Labour Force Survey, 2020
Plain Text - 19.3 KB -
MD5: 6f68924dc593d849499636abe846254e
SPSS syntax for plain-text microdata files. Created by UBC to match the format of the SPSS .sav files; not an official Statcan product |
Mar 16, 2023 -
Labour Force Survey, 2020
Adobe PDF - 346.2 KB -
MD5: efe00f7f6d4e4d884e5ba35a972ae5b8
2023 Revisions of the Labour Force Survey |
Mar 16, 2023 -
Labour Force Survey, 2020
Plain Text - 13.2 MB -
MD5: 890f0a742390cbbfea3cfb4dcdb488bd
February 2020 data, flat ASCII format |
Mar 16, 2023 -
Labour Force Survey, 2020
Plain Text - 13.2 MB -
MD5: e5c7f1d530face06ce495b04684c59c3
January 2020 data, flat ASCII format |
Mar 16, 2023 -
Labour Force Survey, 2020
Tabular Data - 8.5 MB - 60 Variables, 85929 Observations - UNF:6:w+dPbE6JIZD1WgNUwxo5iQ==
July 2020 data (subsettable) (original SPSS .sav) |
Mar 16, 2023 -
Labour Force Survey, 2020
Tabular Data - 8.9 MB - 60 Variables, 90353 Observations - UNF:6:X0qbMuQbOp7Ht1j6N2OMVw==
April 2020 data (subsettable) (original SPSS .sav) |
Mar 16, 2023 -
Labour Force Survey, 2020
Tabular Data - 9.3 MB - 60 Variables, 93698 Observations - UNF:6:H+qVZR9S2PinHLrOzyD1UA==
March 2020 data (subsettable) (original SPSS .sav) |
Mar 16, 2023 -
Labour Force Survey, 2020
Tabular Data - 8.8 MB - 60 Variables, 89102 Observations - UNF:6:ysxAm3YDwc9DtpIUaN3VRQ==
May 2020 data (subsettable) (original SPSS .sav) |
Mar 16, 2023 -
Labour Force Survey, 2020
Tabular Data - 8.7 MB - 60 Variables, 87779 Observations - UNF:6:kL9t98fzuh2pGbDw8ylRHQ==
June 2020 data (subsettable) (original SPSS .sav) |
Mar 16, 2023 -
Labour Force Survey, 2020
Plain Text - 12.1 MB -
MD5: 2fe14f041eb7b403e2c5a262e7f3563f
April 2020 data, flat ASCII format |
Mar 16, 2023 -
Labour Force Survey, 2020
Plain Text - 12.5 MB -
MD5: 3c6272b333504add018d10a8cd466cbb
March 2020 data, flat ASCII format |
Mar 16, 2023 -
Labour Force Survey, 2020
Plain Text - 11.7 MB -
MD5: 928d533ed531a02b23998543c5a462ca
June 2020 data, flat ASCII format |
Mar 16, 2023 -
Labour Force Survey, 2020
Plain Text - 11.9 MB -
MD5: 829bcdc5f0cd45a8b139ecf86aa8b5ed
May 2020 data, flat ASCII format |
Mar 16, 2023 -
Labour Force Survey, 2020
Tabular Data - 8.5 MB - 60 Variables, 85682 Observations - UNF:6:94fOs3mCWTs3AXS9g3HpZw==
September 2020 data (subsettable) (original SPSS .sav) |
Mar 16, 2023 -
Labour Force Survey, 2020
Tabular Data - 8.4 MB - 60 Variables, 84337 Observations - UNF:6:1UIpUclG+yarHiRX8YGACA==
November 2020 data (subsettable) (original SPSS .sav) |
Mar 16, 2023 -
Labour Force Survey, 2020
Tabular Data - 8.5 MB - 60 Variables, 85097 Observations - UNF:6:7+0mebXf5yTzWpT2Lk6mcA==
October 2020 data (subsettable) (original SPSS .sav) |
Mar 16, 2023 -
Labour Force Survey, 2020
Tabular Data - 8.4 MB - 60 Variables, 85453 Observations - UNF:6:BepEYILyT86ZP2crhqHzXA==
August 2020 data (subsettable) (original SPSS .sav) |
Mar 16, 2023 -
Labour Force Survey, 2020
Plain Text - 11.4 MB -
MD5: 3407a10654d4251640f23144af2669d7
September 2020 data, flat ASCII format |
Mar 16, 2023 -
Labour Force Survey, 2020
Plain Text - 11.3 MB -
MD5: b9899895784f47f90009baf9b6fc3653
November 2020 data, flat ASCII format |
Mar 16, 2023 -
Labour Force Survey, 2020
Plain Text - 11.4 MB -
MD5: 96aad6fc99f5a0afafd7a4395ef34876
October 2020 data, flat ASCII format |
Mar 16, 2023 -
Labour Force Survey, 2020
Plain Text - 11.5 MB -
MD5: 78b668818b13a8714b550848fcd916ba
July 2020 data, flat ASCII format |
Mar 16, 2023 -
Labour Force Survey, 2020
Plain Text - 11.4 MB -
MD5: e37133fd893439bb5ea8554c4535ff58
August 2020 data, flat ASCII format |
Mar 16, 2023 -
Labour Force Survey, 2020
Tabular Data - 8.3 MB - 60 Variables, 83232 Observations - UNF:6:E5fS0I9PQPWldqNG0egBgQ==
December 2020 data (subsettable) (original SPSS .sav) |
Mar 16, 2023 -
Labour Force Survey, 2020
Plain Text - 11.1 MB -
MD5: 5b828c667edd15b500da6605cc384fe9
December 2020 data, flat ASCII format |
Aug 24, 2022 - Campus and Community Planning
McElhanney Consulting Services Ltd., 2020, "[Orthophotos, University of British Columbia Vancouver Campus], 2020", https://hdl.handle.net/11272.1/AB2/6PFOWL, Abacus Data Network, V2
Orthorectified aerial imagery of the UBC Vancouver campus, 2020. Ortho Pixel size - 10 cm. TIF imagery includes red, blue, green and infrared (band 4) bands. |
GeoJSON - 11.8 KB -
MD5: bb2d6e00278b1fe1f633be8f6fa808b7
Tile index in GeoJSON format |
Jun 30, 2022 -
BC Assessment Data Advice and Inventory Extracts, 2016-2022
Unknown - 552.8 MB -
MD5: 8e1d46539a173fbdd5e2d0c22cea4b26
Source data from BC Assessment |
Jun 30, 2022 -
BC Assessment Data Advice and Inventory Extracts, 2016-2022
Unknown - 260.2 MB -
MD5: fcb2b4160fc4ca2d090c54a8a3f8451a
CSV files derived from the 2022 REVD and the Inventory Extract files |
Jun 30, 2022 -
BC Assessment Data Advice and Inventory Extracts, 2016-2022
Unknown - 391.2 MB -
MD5: ee4c8bd3233b269264a3c1998fade774
SQLite database derived from the 2022 REVD and the Inventory Extract files |
Oct 14, 2021 - DMTI Spatial
DMTI Spatial Inc., 2020, "CanMap Address Points, v2020.4", https://hdl.handle.net/11272.1/AB2/HL7BV7, Abacus Data Network, V1
CanMap Address Points are unique and discrete representations of civic address assignments across Canada. It is the ultimate in answering the question of “where” and an anchor for a single source of accuracy in your mission-critical data. When building your location intelligence... |
Oct 14, 2021 -
CanMap Address Points, v2020.4
Unknown - 878.4 MB -
MD5: c17aa5ee009f75c7f5c27698f22c778e
Address points in bar (|) separated format |
Oct 14, 2021 -
CanMap Address Points, v2020.4
Adobe PDF - 528.7 KB -
MD5: a28eaea2e7287814523ad00efb5c7acf
User manual |
Unknown - 475.2 MB -
MD5: 6fb07c39334b84c0701abe1774373883
Source data from BC Assessment |
Unknown - 482.5 MB -
MD5: 0e459232f28863fc8f4d3c9719df5e3f
Source data from BC Assessment |
Unknown - 484.1 MB -
MD5: 617dafa4e18549eecb0c618fdbe8367a
Source data from BC Assessment |
Unknown - 490.4 MB -
MD5: d2f332fb73de684ff507b96a245a9360
Source data from BC Assessment |
Unknown - 500.5 MB -
MD5: 5f3dadeb25ce998dc7b6ccca237ae5bf
Source data from BC Assessment |
Plain Text - 9.6 KB -
MD5: 64ac0018b5a90a061f975ed6314c0376
BCA_data_transformation_notes |
Unknown - 261.7 MB -
MD5: daae5d4b61b2e46db611338cdf83c916
CSV files derived from the 2016 REVD and the Inventory Extract files |
Unknown - 386.6 MB -
MD5: 02952979e8ebbfae23d12c72bec62ed5
SQLite database derived from the 2016 REVD and the Inventory Extract files |