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The Abacus Data Network is a data repository collaboration involving Libraries at Simon Fraser University (SFU), the University of British Columbia (UBC), the University of Northern British Columbia (UNBC) and the University of Victoria (UVic).

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101 to 150 of 62,910 Results

nts_2023_trip_bsw_stata_dta.zip Jul 9, 2025 - National Travel Survey, 2023 Unknown - 198.4 MB - MD5: b3ebba25bf7c4cf4548be01675c1fd66 Bootstrap WeightsDataStataTrip Bootstrap weights in Stata .dta format for Trip file
nts_2023_trips_ascii_txt.zip Jul 9, 2025 - National Travel Survey, 2023 Unknown - 2.7 MB - MD5: 13032c3e1c7f1292d95fa3fed38612af DataPlain TextTrip Trip file in ASCII plain text format
nts_2023_trip_sas_sas7bdat.zip Jul 9, 2025 - National Travel Survey, 2023 Unknown - 3.2 MB - MD5: 5c51ff8df555c5e784284ab32a5df1df DataSASTrip Trip file in SAS .sas7bdat format
nts_2023_trip_sas_sas.zip Jul 9, 2025 - National Travel Survey, 2023 Unknown - 21.2 KB - MD5: e17fa259b5081d8d2f1b6d9a17ab9f49 Command FilesSASTrip SAS program for Trip file
nts_2023_trip_spss_sav.zip Jul 9, 2025 - National Travel Survey, 2023 Unknown - 3.8 MB - MD5: 4cc1d8e161c80305eb4fd628ec6bb69d DataSPSSTrip Trip file in SPSS .sav format
nts_2023_trip_spss_sps.zip Jul 9, 2025 - National Travel Survey, 2023 Unknown - 18.2 KB - MD5: ed6ae2ebd9d254958fde9307c58f1ab3 Command FilesSPSSTrip SPSS syntax for Trip file
nts_2023_trips_pumf_v1.tab Jul 9, 2025 - National Travel Survey, 2023 Tabular Data - 30.8 MB - 142 Variables, 67556 Observations - UNF:6:9f13KXMv5WYqTrlgXsFGMg== DataSPSSTrip Trip file data (subsettable) (original SPSS .sav)
nts_2023_trip_stata_do.zip Jul 9, 2025 - National Travel Survey, 2023 Unknown - 13.8 KB - MD5: 8f8e7cf46213ea3a34a958344ffdae79 Command FilesStataTrip Stata commands for Trip file
nts_2023_trip_stata_dta.zip Jul 9, 2025 - National Travel Survey, 2023 Unknown - 2.6 MB - MD5: 634900ea57d44df902f405b6c6448894 DataStataTrip Trip file in Stata .dta format
nts_2023_visit_ascii_txt.zip Jul 9, 2025 - National Travel Survey, 2023 Unknown - 1.7 MB - MD5: 7ef7b844ca8fdf17fb72269accc2ab66 DataPlain TextVisit Visit file in ASCII plain text format
nts_2023_visit_pumf_v1.tab Jul 9, 2025 - National Travel Survey, 2023 Tabular Data - 13.1 MB - 33 Variables, 149320 Observations - UNF:6:IqflXTkMncamaKixbUs99Q== DataSPSSVisit Visit file data (subsettable) (original SPSS .sav)
nts_2023_visit_sas_sas7bdat.zip Jul 9, 2025 - National Travel Survey, 2023 Unknown - 2.0 MB - MD5: bb1c066a98aef3dc66ff6707f3403c0b DataSASVisit Visit file in SAS .sas7bdat format
nts_2023_visit_sas_sas.zip Jul 9, 2025 - National Travel Survey, 2023 Unknown - 8.9 KB - MD5: e14f153408927aa9a47e98ba8e97f29d Command FilesSASVisit SAS program for Visit file
nts_2023_visit_spss_sav.zip Jul 9, 2025 - National Travel Survey, 2023 Unknown - 2.4 MB - MD5: 0356073dff600da12aaa68b2dcfeec53 DataSPSSVisit Visit file in SPSS .sav format
nts_2023_visit_spss_sps.zip Jul 9, 2025 - National Travel Survey, 2023 Unknown - 7.6 KB - MD5: d7d7d9c923ecd9c8a091601d9802c72f Command FilesSPSSVisit SPSS syntax for Visit file
nts_2023_visit_stata_do.zip Jul 9, 2025 - National Travel Survey, 2023 Unknown - 6.7 KB - MD5: 5b58de835903ca60c0c4f9806cc1f253 Command FilesStataVisit Stata commands for Visit file
nts_2023_visit_stata_dta.zip Jul 9, 2025 - National Travel Survey, 2023 Unknown - 1.6 MB - MD5: cf6eb41d04ea94af186b8df07bbe9123 DataStataVisit Visit file in Stata .dta format
NTS_ENV_Questionnaire_2023.pdf Jul 9, 2025 - National Travel Survey, 2023 Adobe PDF - 5.0 MB - MD5: 1a8aa7ea54a9dd98d734efee659ecd62 Documentation Questionnaire
NTS_PUMF_CdBk_2023_BSW_Person_E.pdf Jul 9, 2025 - National Travel Survey, 2023 Adobe PDF - 1.2 MB - MD5: eb27dc82e06a17677d90ed1c5dc88037 Documentation Codebook for Person bootstrap weights file
NTS_PUMF_CdBk_2023_BSW_Trip_E.pdf Jul 9, 2025 - National Travel Survey, 2023 Adobe PDF - 1.2 MB - MD5: 409ae4e17d5d543d084fe00066374280 Documentation Codebook for Trip bootstrap weights file
NTS_PUMF_CdBk_2023_Person_E.pdf Jul 9, 2025 - National Travel Survey, 2023 Adobe PDF - 1.3 MB - MD5: b669effd418e52780a8fd375aef18dda Documentation Codebook for Person file
NTS_PUMF_CdBk_2023_Trip_E.pdf Jul 9, 2025 - National Travel Survey, 2023 Adobe PDF - 1.5 MB - MD5: 496bfa09c82d76e7a72305d41269e5cd Documentation Codebook for Trip file
NTS_PUMF_CdBk_2023_Visit_E.pdf Jul 9, 2025 - National Travel Survey, 2023 Adobe PDF - 1.3 MB - MD5: 9d29f382a8cff35d047a9ee101fb77b6 Documentation Codebook for Visit file
User Guide_NTS_2023_PUMF.pdf Jul 9, 2025 - National Travel Survey, 2023 Adobe PDF - 606.2 KB - MD5: 3f2e1ef1fa9690de1690675fabd7e04f Documentation User guide
Postal Codes by Federal Ridings File (PCFRF) 2023 Representation Order, June 2025 Postal Codes, 2025 Jul 4, 2025 - Statistics Canada - DLI Statistics Canada, 2025, "Postal Codes by Federal Ridings File (PCFRF) 2023 Representation Order, June 2025 Postal Codes, 2025", https://hdl.handle.net/11272.1/AB2/KJHFWJ, Abacus Data Network, V1 The Postal Code Project is responsible for linking the approximately 900,000 single postal codes in Canada to Statistics Canada’s Census dissemination geography, (presently 2021 Census geography). This process is performed by using data provided by Canada Post Corporation and lin...
PCFRF_FCPCEF_202506-eng.pdf Jul 4, 2025 - Postal Codes by Federal Ridings File (PCFRF) 2023 Representation Order, June 2025 Postal Codes, 2025 Adobe PDF - 373.6 KB - MD5: beb35a74f62e07ca5227e4a29b3192fe Documentation Reference guide
PCFRF_FCPCEF_V2506_2023.txt Jul 4, 2025 - Postal Codes by Federal Ridings File (PCFRF) 2023 Representation Order, June 2025 Postal Codes, 2025 Plain Text - 110.5 MB - MD5: 276d74ba62f8c341c4763e59d6c80fba Data Postal codes by federal ridings file, June 2025 postal codes
PCFRF_File_Manifest.txt Jul 4, 2025 - Postal Codes by Federal Ridings File (PCFRF) 2023 Representation Order, June 2025 Postal Codes, 2025 Plain Text - 396 B - MD5: 62772aee10a478e9cf5e3e2d84be0713 Documentation File manifest
Postal Code Conversion File, June 2025 Postal Codes, 2025 Jul 4, 2025 - Statistics Canada - DLI Statistics Canada, 2025, "Postal Code Conversion File, June 2025 Postal Codes, 2025", https://hdl.handle.net/11272.1/AB2/2OJO0T, Abacus Data Network, V1 The Postal Code Project is responsible for linking the approximately 900,000 single postal codes in Canada to Statistics Canada’s Census dissemination geography, (presently 2021 Census geography). This process is performed by using data provided by Canada Post Corporation and lin...
create_national_2016_en.sps Jul 4, 2025 - Postal Code Conversion File, June 2025 Postal Codes, 2025 Plain Text - 60.3 KB - MD5: 4be5ddd67ea7010697758cb28bc94627 Command Files SPSS syntax for PCCF. Non-Statistics Canada product from <odesi> (Ontario Data Documentation, Extraction Service and Infrastructure)
PCCF_FCCP_202506-eng.pdf Jul 4, 2025 - Postal Code Conversion File, June 2025 Postal Codes, 2025 Adobe PDF - 567.4 KB - MD5: 7ef70dcbd32d2586e62f2083ea423d7a Documentation Reference guide
PCCF_FCCP_V2506_2021.txt Jul 4, 2025 - Postal Code Conversion File, June 2025 Postal Codes, 2025 Plain Text - 286.9 MB - MD5: 831e86264932214a787a58bf200378db Data National data: June 2025 postal codes
PCCF_File_Manifest.txt Jul 4, 2025 - Postal Code Conversion File, June 2025 Postal Codes, 2025 Plain Text - 712.1 KB - MD5: fe54ca7c3d616744ef723c69c15b0cbd Documentation File manifest
PCCF_retired_FCCP_retraite_V2506_2021.txt Jul 4, 2025 - Postal Code Conversion File, June 2025 Postal Codes, 2025 Plain Text - 15.0 MB - MD5: 030994c4f2562c4d375f02a468df0d14 Data Retired postal codes: June 2025
MATERIAL Kazakh-English Language Pack Jun 9, 2025 - Linguistic Data Consortium Bekkozhanova, Gulnar; Bills, Aric; Chouder, Sarra; Jaralve, Vanessa; Corey, Cassian; Dubinski, Eyal; Ellis, Corinna; Gibby, Paul; Kazi, Michael; Lam, Julie; Le, Hanh; Malyska, Nicolas; Marcucci, Giorgia; Marvi, Sarah; McConnell, Sara; Melot, Jennifer; Mensch, Alyssa; Morrison, Michelle; Paget, Shelley; Ramizo, Katerina; Richardson, Frederick; Roberts, Annette; Rubino, Carl; Sarseke, Gulnar; Taubayev, Zharas, 2025, "MATERIAL Kazakh-English Language Pack", https://hdl.handle.net/11272.1/AB2/5G61UB, Abacus Data Network, V1 Abstract Introduction MATERIAL Kazakh-English Language Pack was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) MATERIAL (Machine Translation for English Retrieval of Information in Any Language) program. It contains approximately 57 hours of K...
Working_with_ISO_Images.txt Jun 9, 2025 - MATERIAL Kazakh-English Language Pack Plain Text - 1.3 KB - MD5: 4d4231d07ac669e105f71e602457efea Documentation Working with ISO disc images
LDC2025S03.iso Jun 9, 2025 - MATERIAL Kazakh-English Language Pack Optical Disc Image - 9.0 GB - MD5: 368db6e6280771ca15d57d25f32b7c35 Data ISO disc image containing all documentation and data
LDC2025S03_File_Manifest.txt Jun 9, 2025 - MATERIAL Kazakh-English Language Pack Plain Text - 225.1 KB - MD5: 3b3588fc37a241f870756de3dcc14bcc Documentation File manifest
Social Policy Simulation Database and Model (SPSD/M), Version 30.3, database year 2018 Jun 6, 2025 - Statistics Canada - DLI Statistics Canada, 2025, "Social Policy Simulation Database and Model (SPSD/M), Version 30.3, database year 2018", https://hdl.handle.net/11272.1/AB2/VBIP9B, Abacus Data Network, V2 The SPSD/M is a static microsimulation model designed to analyse financial interactions between governments and individuals in Canada. It can compute taxes paid to and cash transfers received from government. It is comprised of a database, a series of tax/transfer algorithms and...
SPSDM_errata_2025-06.md Jun 6, 2025 - Social Policy Simulation Database and Model (SPSD/M), Version 30.3, database year 2018 Markdown Text - 4.2 KB - MD5: 1efc692ac016aae35b02032ef8cb4936 Documentation SPSDM errata 2025-06
SPSDM_errata_2025-06.pdf Jun 6, 2025 - Social Policy Simulation Database and Model (SPSD/M), Version 30.3, database year 2018 Adobe PDF - 17.2 KB - MD5: 049b72a1ea7efbcf5de57ca803ace370 Documentation SPSDM errata 2025-06
Social Policy Simulation Database and Model (SPSD/M), Version 30.2, database year 2018 Jun 6, 2025 - Statistics Canada - DLI Statistics Canada, 2024, "Social Policy Simulation Database and Model (SPSD/M), Version 30.2, database year 2018", https://hdl.handle.net/11272.1/AB2/W8OJLS, Abacus Data Network, V2 The SPSD/M is a static microsimulation model designed to analyse financial interactions between governments and individuals in Canada. It can compute taxes paid to and cash transfers received from government. It is comprised of a database, a series of tax/transfer algorithms and...
SPSDM_errata_2025-06.md Jun 6, 2025 - Social Policy Simulation Database and Model (SPSD/M), Version 30.2, database year 2018 Markdown Text - 4.2 KB - MD5: 1efc692ac016aae35b02032ef8cb4936 Documentation SPSDM errata 2025-06
SPSDM_errata_2025-06.pdf Jun 6, 2025 - Social Policy Simulation Database and Model (SPSD/M), Version 30.2, database year 2018 Adobe PDF - 17.2 KB - MD5: 049b72a1ea7efbcf5de57ca803ace370 Documentation SPSDM errata 2025-06
LFS_May_2025.tab Jun 6, 2025 - Labour Force Survey, 2025 Tabular Data - 11.5 MB - 60 Variables, 116042 Observations - UNF:6:eMP+Y/0JB15z2AbkltqOlw== DataMaySPSS May 2025 data (subsettable) (original SPSS.sav)
pub0525.prn Jun 6, 2025 - Labour Force Survey, 2025 Plain Text - 15.5 MB - MD5: 7c94365ae942ceb89cc0b179e9504a89 DataMayPlain Text May 2025 data, flat ASCII format
Indigenous Peoples Survey, 2022 May 30, 2025 - Statistics Canada Open License Statistics Canada, 2025, "Indigenous Peoples Survey, 2022", https://hdl.handle.net/11272.1/AB2/8OCAVX, Abacus Data Network, V1, UNF:6:rz0eCG9i+giz2D43bLwnLg== [fileUNF] The 2022 Indigenous Peoples Survey (IPS) is a national survey on the social and economic conditions of First Nations people living off-reserve, Métis and Inuit, aged one year and older. The 2022 IPS represents the sixth cycle of the survey and focuses on families and children. Th...
2022 IPS User Guide_PUMF_E.pdf May 30, 2025 - Indigenous Peoples Survey, 2022 Adobe PDF - 1.0 MB - MD5: 5d23b7fe92e71699bd5ef391d2a9278b Documentation User guide
ips_2022_ascii_txt.zip May 30, 2025 - Indigenous Peoples Survey, 2022 Unknown - 1.6 MB - MD5: 37b6f7d8a67b9170399f1a69df649156 DataPlain Text Microdata in plain text flat ASCII format
ips_2022_bsw_ascii_txt.zip May 30, 2025 - Indigenous Peoples Survey, 2022 Unknown - 129.5 MB - MD5: 79e069c10a110d18454615de7872a3c7 Bootstrap WeightsDataPlain Text Bootstrap weights file in plain text flat ASCII format

nts_2023_trip_bsw_stata_dta.zip