PRIZM features 67 segments that capture current demographics, lifestyles and values in Canada. Developed using dozens of authoritative data sources, PRIZM gives you access to over 30,000 data points and can be combined with your own customer data.

2005 PRIZM NE data for the Baltimore MSA. PRIZM is the Potential Rating Index by Zip code Markets produced by the Claritas corporation - http://www.clusterbigip1.claritas.com/claritas/Default.jsp. The 2005 edition of the PRIZM dataset uses the New Evolution (NE) codes, which are not compatible with previous versions of PRIZM. PRIZM NE data is clustered at the Segment (66 classes), Social Group (14 classes) and Lifestyle Group (11 classes) level. Refer to the 'Supplemental Information' section and enclosed documentation for more information. The block group boundaries in this dataset are consistent with the BES universal MSA boundary derived from GDT census data.Please refer to the Supplemental Information section and to the metadata enclosures for more information. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.

2003 PRIZM data for the MSA. PRIZM is the Potential Rating Index by Zip code Markets produced by the Claritas corportation - http://www.clusterbigip1.claritas.com/claritas/Default.jsp. Refer to the enclosed doumentation for more information. The block group boundaries in this dataset are consistent with the BES universal MSA boundary derived from GDT census data. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.

Dataset Card for PRISM

PRISM is a diverse human feedback dataset for preference and value alignment in Large Language Models (LLMs). It maps the characteristics and stated preferences of humans from a detailed survey onto their real-time interactions with LLMs and contextual preference ratings

  Dataset Details

There are two sequential stages: first, participants complete a Survey where they answer questions about their demographics and stated preferences, then proceed to… See the full description on the dataset page: https://huggingface.co/datasets/HannahRoseKirk/prism-alignment.

Credit report of Prizm Marketing Inc contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

Financial overview and grant giving statistics of Prizm Projects Inc.

Tags survey, environmental behaviors, lifestyle, status, PRIZM, Baltimore Ecosystem Study, LTER, BES Summary BES Research, Applications, and Education Description Geocoded for Baltimore County. The BES Household Survey 2003 is a telephone survey of metropolitan Baltimore residents consisting of 29 questions. The survey research firm, Hollander, Cohen, and McBride conducted the survey, asking respondents questions about their outdoor recreation activities, watershed knowledge, environmental behavior, neighborhood characteristics and quality of life, lawn maintenance, satisfaction with life, neighborhood, and the environment, and demographic information. The data from each respondent is also associated with a PRIZM� classification, census block group, and latitude-longitude. PRIZM� classifications categorize the American population using Census data, market research surveys, public opinion polls, and point-of-purchase receipts. The PRIZM� classification is spatially explicit allowing the survey data to be viewed and analyzed spatially and allowing specific neighborhood types to be identified and compared based on the survey data. The census block group and latitude-longitude data also allow us additional methods of presenting and analyzing the data spatially. The household survey is part of the core data collection of the Baltimore Ecosystem Study to classify and characterize social and ecological dimensions of neighborhoods (patches) over time and across space. This survey is linked to other core data including US Census data, remotely-sensed data, and field data collection, including the BES DemSoc Field Observation Survey. The BES 2003 telephone survey was conducted by Hollander, Cohen, and McBride from September 1-30, 2003. The sample was obtained from the professional sampling firm Claritas, in order that their "PRIZM" encoding would be appended to each piece of sample (telephone number) supplied. Mailing addresses were also obtained so that a postcard could be sent in advance of interviewers calling. The postcard briefly informed potential respondents about the survey, who was conducting it, and that they might receive a phone call in the next few weeks. A stratified sampling method was used to obtain between 50 - 150 respondents in each of the 15 main PRIZM classifications. This allows direct comparison of PRIZM classifications. Analysis of the data for the general metropolitan Baltimore area must be weighted to match the population proportions normally found in the region. They obtained a total of 9000 telephone numbers in the sample. All 9,000 numbers were dialed but contact was only made on 4,880. 1508 completed an interview, 2524 refused immediately, 147 broke off/incomplete, 84 respondents had moved and were no longer in the correct location, and a qualified respondent was not available on 617 calls. This resulted in a response rate of 36.1% compared with a response rate of 28.2% in 2000. The CATI software (Computer Assisted Terminal Interviewing) randomized the random sample supplied, and was programmed for at least 3 attempted callbacks per number, with emphasis on pulling available callback sample prior to accessing uncalled numbers. Calling was conducted only during evening and weekend hours, when most head of households are home. The use of CATI facilitated stratified sampling on PRIZM classifications, centralized data collection, standardized interviewer training, and reduced the overall cost of primary data collection. Additionally, to reduce respondent burden, the questionnaire was revised to be concise, easy to understand, minimize the use of open-ended responses, and require an average of 15 minutes to complete. The household survey is part of the core data collection of the Baltimore Ecosystem Study to classify and characterize social and ecological dimensions of neighborhoods (patches) over time and across space. This survey is linked to other core data, including US Census data, remotely-sensed data, and field data collection, including the BES DemSoc Field Observation Survey. Additional documentation of this database is attached to this metadata and includes 4 documents, 1) the telephone survey, 2) documentation of the telephone survey, 3) metadata for the telephone survey, and 4) a description of the attribute data in the BES survey 2003 survey. This database was created by joining the GDT geographic database of US Census Block Group geographies for the Baltimore Metropolitan Statisticsal Area (MSA), with the Claritas PRIZM database, 2003, of unique classifications of each Census Block Group, and the unique PRIZM code for each respondent from the BES Household Telephone Survey, 2003. The GDT database is preferred and used because of its higher spatial accuracy than other databases describing US Cen... Visit https://dataone.org/datasets/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-bes%2F336%2F610 for complete metadata about this dataset.

Financial overview and grant giving statistics of Prizm Comp Booster Club

Credit report of Prizm Event contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

Financial overview and grant giving statistics of Prizm Ensemble

Prizm Pharmaceuticals Inc. - BioCentury Company Profiles for the biopharma industry

Credit report of Prizm Technnology contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

Summary of Block Group level analyses for Baltimore City. This dataset contains block group level summary information for riparian vegetation, PROW (public right-of-way) vegetation, private land vegetation, and median age of homes. PRIZM codes are also present. The block group boundaries used in this dataset are from year 2000 GDT census data. The riparian analysis involved summarizing the riparian vegetation (forest and grass only) within a 100ft buffer of all 1:24K streams in Baltimore City for only those block groups that intersect the stream buffers. Vegetation data used in this analysis came from the 2001 MD DNR Forest Service IKONOS-derived Strategic Urban Forest Assessment (SUFA) vegetation layer. The amount of riparian forest, grass, and total vegetation was summarized on a block group level. In addition the percent riparian forest, grass, and total vegetation was summarized at block group level by dividing by the area of riparian land. The PROW analysis involved summarizing all PROW (non-parcel) vegetation (forest and grass) in Baltimore City. The PROW area consists of all roads and rights of way along roads. This area was delineated using Baltimore City parcel data by identifying all "non-parcel" areas. A cursory analysis of the "non-parcel" areas indicated that errors of omission were present due to insufficient parcel data. Vegetation data used in this analysis came from the 2001 MD DNR Forest Service IKONOS derived Strategic Urban Forest Assessment (SUFA) vegetation layer. The amount of urparian forest, grass, and total vegetation was summarized on a block group level. In addition the percent urparian forest, grass, and total vegetation was summarized at block group level by dividing by the area of urparian land. The private land area consists of all parcels not classified as "Exempt" or "Exempt Commerical." A cursory analysis of the parcel data indicated that errors of omission were present due to insufficient parcel data in certain block groups. Vegetation data used in this analysis came from the MD DNR Forest Service IKONOS derived Strategic Urban Forest Assessment (SUFA) vegetation layer. The amount of private land forest, grass, and total vegetation was summarized on a block group level. In addition the percent private land forest, grass, and total vegetation was summarized at block group level by dividing by the area of private land. PRIZM codes are generated from demographic and socioeconomic factors drawn from the U.S. Census data, the Claritas Company's PRIZM system classifies over 260,000 U.S. neighborhood markets into clusters. PRIZM codes can be linked with survey information. More information on PRIZM is available at http://www.clusterbigip1.claritas.com/claritas/Default.jsp?main=3&submenu=seg&subcat=segprizm. Median home age was summarized by block group from U.S. Census data. Credits

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The ePCCF product comprised of two files, the Unique ePCCF and the Rural Enhanced PCCF. The Unique Enhanced PCCF file contains 911,992 postal code points. The ePCCF is released twice per year to capture changes to the Canada Post postal code roster throughout the year.

While the basic PCCF may report a single postal code representing a half-dozen rural communities, our Enhanced PCCF uses a combination of place name and postal code data to assign to each record the characteristics (and location) of the DA. This Rural Enhanced PCCF refines rural postal code assignments by including the ability to match using a combination of postal code and community names commonly associated with that postal code.

This combination provides a greater degree of precision in locating rural records and results in more accurate assignment of data to customer records for rural areas.

The Enhanced PCCF can be used to geocode a company’s customer list and to append demographic and PRIZM® lifestyle segments to records for mapping and other analytical applications like data mining to uncover behavioural patterns for targeting campaigns.

This note provides only a brief overview of the main points of the PSM and it should be read in conjunction with the PRISM Demand Model User Manual and with other PRISM technical documents, such as the model validation and forecasting reports, published by TfWM, which can be accessed at the following website:https://www.tfwm.org.uk/strategy/data-insight/transport-modelling/about-prism/prism-reports and the technical reports which cover the fundamentals of the model's structure, which can be found by searching for PRISM 2011 on RAND's website, such as with the following link:https://www.rand.org/search.html?query=PRISM%202011

Original dataset: PRISM This dataset comprises preference pairs extracted from user conversations, categorized by demographic filters. Each preference pair includes a user prompt and two assistant responses, with one response preferred over the other. The dataset is organized into subsets based on specific demographic attributes, enabling targeted analysis.

Geocoded for Baltimore County. The BES Household Survey 2003 is a telephone survey of metropolitan Baltimore residents consisting of 29 questions. The survey research firm, Hollander, Cohen, and McBride conducted the survey, asking respondents questions about their outdoor recreation activities, watershed knowledge, environmental behavior, neighborhood characteristics and quality of life, lawn maintenance, satisfaction with life, neighborhood, and the environment, and demographic information. The data from each respondent is also associated with a PRIZM(r) classification, census block group, and latitude-longitude. PRIZM(r) classifications categorize the American population using Census data, market research surveys, public opinion polls, and point-of-purchase receipts. The PRIZM(r) classification is spatially explicit allowing the survey data to be viewed and analyzed spatially and allowing specific neighborhood types to be identified and compared based on the survey data. The census block group and latitude-longitude data also allow us additional methods of presenting and analyzing the data spatially. The household survey is part of the core data collection of the Baltimore Ecosystem Study to classify and characterize social and ecological dimensions of neighborhoods (patches) over time and across space. This survey is linked to other core data including US Census data, remotely-sensed data, and field data collection, including the BES DemSoc Field Observation Survey. The BES 2003 telephone survey was conducted by Hollander, Cohen, and McBride from September 1-30, 2003. The sample was obtained from the professional sampling firm Claritas, in order that their "PRIZM" encoding would be appended to each piece of sample (telephone number) supplied. Mailing addresses were also obtained so that a postcard could be sent in advance of interviewers calling. The postcard briefly informed potential respondents about the survey, who was conducting it, and that they might receive a phone call in the next few weeks. A stratified sampling method was used to obtain between 50 - 150 respondents in each of the 15 main PRIZM classifications. This allows direct comparison of PRIZM classifications. Analysis of the data for the general metropolitan Baltimore area must be weighted to match the population proportions normally found in the region. They obtained a total of 9000 telephone numbers in the sample. All 9,000 numbers were dialed but contact was only made on 4,880. 1508 completed an interview, 2524 refused immediately, 147 broke off/incomplete, 84 respondents had moved and were no longer in the correct location, and a qualified respondent was not available on 617 calls. This resulted in a response rate of 36.1% compared with a response rate of 28.2% in 2000. The CATI software (Computer Assisted Terminal Interviewing) randomized the random sample supplied, and was programmed for at least 3 attempted callbacks per number, with emphasis on pulling available callback sample prior to accessing uncalled numbers. Calling was conducted only during evening and weekend hours, when most head of households are home. The use of CATI facilitated stratified sampling on PRIZM classifications, centralized data collection, standardized interviewer training, and reduced the overall cost of primary data collection. Additionally, to reduce respondent burden, the questionnaire was revised to be concise, easy to understand, minimize the use of open-ended responses, and require an average of 15 minutes to complete. The household survey is part of the core data collection of the Baltimore Ecosystem Study to classify and characterize social and ecological dimensions of neighborhoods (patches) over time and across space. This survey is linked to other core data, including US Census data, remotely-sensed data, and field data collection, including the BES DemSoc Field Observation Survey. Additional documentation of this database is attached to this metadata and includes 4 documents, 1) the telephone survey, 2) documentation of the telephone survey, 3) metadata for the telephone survey, and 4) a description of the attribute data in the BES survey 2003 survey. This database was created by joining the GDT geographic database of US Census Block Group geographies for the Baltimore Metropolitan Statisticsal Area (MSA), with the Claritas PRIZM database, 2003, of unique classifications of each Census Block Group, and the unique PRIZM code for each respondent from the BES Household Telephone Survey, 2003. The GDT database is preferred and used because of its higher spatial accuracy than other databases describing US Census geographies, including those provided by the US Census. This database includes data only for environmental behaviors: How likely would you be to take part in the following efforts to improve and maintain the quality of the watersheds near where you live, very unlikely, somewhat unlikely, somewhat likely, very likely? a) pay increased

Market Overview: The global Crystal Polarizing Prism market is poised to witness substantial growth over the forecast period of 2025-2033. Driven by the increasing adoption of advanced imaging technologies, the market is expected to reach a value of XXX million by 2033, registering a CAGR of XX% from 2025 onwards. The demand for crystal polarizing prisms is primarily driven by their ability to separate, filter, and manipulate polarized light, making them crucial components in a wide range of applications, including communications, medical imaging, photovoltaic systems, and scientific research. Market Segmentation and Dynamics: The Crystal Polarizing Prism market can be segmented based on application and type. In terms of application, the communications industry accounts for the largest market share, driven by the use of prisms in optical amplifiers, transceivers, and fiber optic networks. The medical industry is another significant segment, where prisms are employed in medical imaging systems such as microscopes, optical coherence tomography (OCT), and endoscopes. Other applications include photovoltaic systems, where prisms enhance the efficiency of solar cells by controlling the polarization of incoming light. Based on type, the market is divided into linear and circular polarizing prisms, with linear polarizing prisms dominating the market due to their wide use in telecommunications and optical measurement devices.

The global optical prism market, valued at $49 million in 2025, is projected to experience robust growth, driven by increasing demand across diverse sectors. A compound annual growth rate (CAGR) of 6% from 2025 to 2033 indicates a significant expansion, reaching an estimated value exceeding $80 million by 2033. This growth is fueled by several key factors. The burgeoning advancements in telecommunications, particularly in fiber optics and related technologies, are creating significant demand for high-precision prisms. Similarly, the expansion of the medical device industry, particularly in laser surgery and diagnostic imaging, necessitates the use of specialized optical prisms for precise light manipulation. Additionally, the growth of the scientific research and development sector contributes to the demand, with researchers continually needing sophisticated optical components for various experimental setups and instrumentation. The market segmentation reveals that common digital equipment currently dominates applications, but significant growth potential lies within medical and scientific technology segments due to ongoing technological innovations and increasing research and development spending. The market's competitive landscape is characterized by a mix of established players and emerging companies. Leading manufacturers like Edmund Optics and Thorlabs are strategically expanding their product portfolios and strengthening their supply chains to meet the growing demands. However, intense competition necessitates constant innovation and cost optimization. Regional analysis indicates that North America and Europe currently hold substantial market shares, reflecting established manufacturing bases and substantial technological advancements. However, the Asia-Pacific region is poised for significant growth due to rapid industrialization, a rising middle class, and increasing investments in advanced technologies. While challenges such as the availability of raw materials and stringent regulatory compliance remain, the overall market outlook for optical prisms remains positive, driven by technological advancements and burgeoning application across diverse industries.