Demographic Analysis Clause Samples

Demographic Analysis. For each loan, indicate the annual income, household size, loan amount, purchase price, loan type, property type, county, whether the property was existing or newly constructed, interest rate, targeted or non-targeted area, whether or not the borrower was a first time buyer, gender, DPA type, marital status, race/ethnicity; HLP averages: loan amount, average household income, purchase price, household size, age, second loan amount, and total percentage of loans with second mortgages.
Demographic Analysis. The Polaris Minnesota Traveler Wants and Needs telephone survey database included demographic data such as the survey participant ’s age, gender, income range, etc. Statistical testing was performed to determine if there were any differences in the responses of paired demographic groups for the importance and satisfaction values. The results are tabulated in Appendix D. Any responses that showed a 95% confidence level for being statistically different are marked with an “X” and are organized for planning purposes in terms of “More Important” and “Less Satisfied”. The tested comparisons were as follows: ⚫ Metropolitan Counties (Anoka, ▇▇▇▇▇▇, Chisago, Dakota, Hennepin, ▇▇▇▇▇▇, Scott, Washington) - vs- Non-Metro Counties (Blue Earth, Ohnsted, Otter Tail, St. ▇▇▇▇▇, ▇▇▇▇▇▇, ▇▇▇▇▇▇, Others) . Those who commute 10 miles or less to work -vs- Those who commute 10 miles or more to work . Those who travel during peak hours (6AM-9AM; 3PM-6PM) - vs- Those who travel during non- peak hours . Males -vs- Females . Age group: 18-34 -vs- Remaining ages . Age group: 35-54 - vs- Remaining ages . Age group: 55 and older -vs- Remaining ages . Income Level: Less than $30,000/year -vs- Remaining incomes . Income Level: $30,000-50,000/year -vs- Remaining incomes . Income Level: $50,000 or greater/year -vs- Remaining incomes . Employed -vs- Not-Working/Part-Time The results showed that no demographic group ’s responses for any of the wants and needs were both more important and less satisfied than those of its paired demographic group. Some of the most consistent differences include the following: Females rated nearly all the wants and needs as more important and nearly all more satisfied than did males. Non-workers or part-time workers rated most of the wants and needs as more important and most more satisfied than did full-time employed workers. Respondents younger than age 55 rated nearly all the wants and needs as less satisfied than did those 55 and older. Respondents earning less than $30,000 per year rated about half the wants and needs as more important and about half more satisfied than did those earning over $30,000 per year. Respondents earning more than $50,000 per year rated about one third of the wants and needs as less important and one third less satisfied than did those earning under $50,000 per year. Non-peak hour travelers rated some of the wants and needs as more important and some more satisfied than did those traveling during peak hour. The remaining demogra...
Demographic Analysis. Collect demographic, socioeconomic, and travel data from available sources such as the 2010 US Census and American Community Survey, California Household Travel Survey, etc. This subtask includes a demographic assessment for each of the planning areas, and will be used to create a community profile for each planning area.
Demographic Analysis. 1.1. 3The Polaris Minnesota Traveler Wants and Needs telephone survey database included demographic data such as the survey participant’s age, gender, income range, etc. Statistical testing was performed to determine if there were any differences in the responses of paired demographic groups for the importance and satisfaction values. The results are tabulated in Appendix D. Any responses that showed a 95% confidence level for being statistically different are marked with an “X” and are organized for planning purposes in terms of “More Important” and “Less Satisfied”. The tested comparisons were as follows:
Demographic Analysis. The MIG Team will collect demographic, socioeconomic, and travel data from available sources, such as the 2020 US Census and American Community Survey, California Household Travel Survey, etc. With the data gathered, the MIG Team will create a community profile for the plan area.

Related to Demographic Analysis

  • Risk Analysis The Custodian will provide the Fund with a Risk Analysis with respect to Securities Depositories operating in the countries listed in Appendix B. If the Custodian is unable to provide a Risk Analysis with respect to a particular Securities Depository, it will notify the Fund. If a new Securities Depository commences operation in one of the Appendix B countries, the Custodian will provide the Fund with a Risk Analysis in a reasonably practicable time after such Securities Depository becomes operational. If a new country is added to Appendix B, the Custodian will provide the Fund with a Risk Analysis with respect to each Securities Depository in that country within a reasonably practicable time after the addition of the country to Appendix B.

  • Demographics Obtain demographic information including age, race, ethnicity, and sex.

  • Quantitative Analysis Quantitative analysts develop and apply financial models designed to enable equity portfolio managers and fundamental analysts to screen potential and current investments, assess relative risk and enhance performance relative to benchmarks and peers. To the extent that such services are to be provided with respect to any Account which is a registered investment company, Categories 3, 4 and 5 above shall be treated as “investment advisory services” for purposes of Section 5(b) of the Agreement.”

  • Statistical, Demographic or Market-Related Data All statistical, demographic or market-related data included in the Registration Statement, the Disclosure Package or the Prospectus are based on or derived from sources that the Company believes to be reliable and accurate and all such data included in the Registration Statement, the Disclosure Package or the Prospectus accurately reflects the materials upon which it is based or from which it was derived.

  • Sampling and Analysis The sampling and analysis of the coal delivered hereunder shall be performed by Buyer upon delivery of the coal to Buyer’s facility, and the results thereof shall be accepted and used as defining the quality and characteristics of the coal delivered under this Agreement and as the Payment Analysis. All analyses shall be made in Buyer’s laboratory at Buyer’s expense in accordance with ASTM standards where applicable, or industry-accepted standards in other cases. Samples for analyses shall be taken in accordance with ASTM standards or other methods mutually acceptable to both parties. Seller shall transmit its “as loaded” quality analysis to Buyer as soon as possible. Seller’s “as-loaded” quality shall be the Payment Analysis only when Buyer’s sampler and/or scales are inoperable, or if Buyer fails to obtain a sample upon unloading. Seller represents that it is familiar with Buyer’s sampling and analysis practices, and that it finds them to be acceptable. Buyer shall notify Seller in writing of any significant changes in Buyer’s sampling and analysis practices. Any such changes in Buyer’s sampling and analysis practices shall, except for ASTM or industry-accepted changes in practices, provide for no less accuracy than the sampling and analysis practices existing at the tune of the execution of this Agreement, unless the Parties otherwise mutually agree. Each sample taken by Buyer shall be divided into four (4) parts and put into airtight containers, properly labeled and sealed. One (1) part shall be used for analysis by Buyer. One (1) part shall be used by Buyer as a check sample, if Buyer in its sole judgment determines it is necessary. One (1) part shall be retained by Buyer until thirty (30) days after the sample is taken (“Disposal Date”), and shall be delivered to Seller for analysis if Seller so requests before the Disposal Date. One (1) part (the “Referee Sample”) shall be retained by Buyer until the Disposal Date. Seller shall be given copies of all analyses made by Buyer by the fifth (5th) business day of the month following the month of unloading. In addition, Buyer shall send Seller weekly analyses of coal unloaded at Buyer’s facilities. Seller, on reasonable notice to Buyer, shall have the right to have a representative present to observe the sampling and analyses performed by Buyer. Unless Seller requests an analysis of the Referee Sample before the Disposal Date, Buyer’s analysis shall be used to determine the quality of the coal delivered hereunder and shall be the Payment Analysis. The Monthly Weighted Averages of specifications referenced in §6.1 shall be based on the individual Shipment analyses. If any dispute arises with regard to the analysis of any sample before the Disposal Date for such sample, the Referee Sample retained by Buyer shall be submitted for analysis to an independent commercial testing laboratory (“Independent Lab”) mutually chosen by Buyer and Seller. For each coal quality specification in question, if the analysis of the Independent Lab differs by more than the applicable ASTM reproducibility standards, the Independent Lab results will govern, and the prior analysis shall be disregarded. All testing of the Referee Sample by the Independent Lab shall be at requestor’s expense unless the Independent Lab results differ from the original Payment Analysis for any specification by more than the applicable ASTM reproducibility standards as to that specification. In such case, the cost of the analysis made by the Independent Lab shall be borne by the party who provided the original Payment Analysis.