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Many types of data are useful in winning grants designed to benefit schools and students in academic subjects (and other areas) in grades K-12. Among the useful types of data are: demographics, income, poverty, staff, educational attainment, and performance in core academic subjects. Here I indicate the types of useful data by N (for number) and % (for percent).

 

Demographics

  1. N and % English language learners by grade level, by school site, and by district
  2. N and % aged 5 and older in community who speak a language other than English at home
  3. N and % racial and ethnic categories by grade level, by school site, and by district
  4. N and % special education students by grade level, by school site, and by district
  5. N of students by grade level, by school site, and by district

 

Socioeconomics (Income)

  1. Per capita personal income by district or community or census tract
  2. Per household personal income by district or community or census tract

 

Socioeconomics (Poverty)

  1. N and % of persons under age 18 living in poverty by district or community or census tract
  2. N and % of persons aged 5 to 18 living in poverty by district or community or census tract
  3. N and % eligible for free lunch by grade level, by school site, and by district
  4. N and % eligible for reduced price lunch by grade level, by school site, and by district
  5. N and % of total enrollment by every Title I-eligible school site and by district

 

Instructional Staff

  1. N of instructional staff by subject area, by school site, and by district
  2. N and % of highly qualified instructional staff by subject area, by school site, and by district
  3. N and % of instructional staff with advanced degrees, by school site and by district
  4. N and % of Instructional staff by average years of experience, by school site and by district

 

Educational Attainment

  1. N and % high school completion (graduation rate) by school site and by district
  2. N and % high school dropout (dropout rate) by school site and by district
  3. N and % of adults ages 25 and older in district who have less than a high school diploma
  4. N and % of adults ages 25 and older in district who have a bachelor’s degree or higher

 

Academic Performance – Reading

  1. N and % did not meet State Reading Standards, by grade level and by school site
  2. N and % partially met State Reading Standards, by grade level and by school site
  3. N and % met or exceeded State Reading Standards, by grade level and by school site

 

Academic Performance – Mathematics

  1. N and % did not meet State Math Standards, by grade level and by school site
  2. N and % partially met State Math Standards, by grade level and by school site
  3. N and % met or exceeded State Math Standards, by grade level and by school site

 

Academic Performance – Science

  1. N and % did not meet State Science Standards, by grade level and by school site
  2. N and % partially met State Science Standards by grade level and by school site
  3. N and % met or exceeded State Science Standards by grade level and by school site

 

Academic Performance – United States History

  1. N and % did not meet State US History Standards, by grade level and by school site
  2. N and % partially met State US History Standards, by grade level and by school site
  3. N and % met or exceeded State US History Standards, by grade level and by school site

 

Academic Performance – Fine Arts and Performing Arts

  1. N and % did not meet State Arts Standards, by grade level and by school site
  2. N and % partially met State Arts Standards, by grade level and by school site
  3. N and % met or exceeded State Arts Standards, by grade level and by school site

 

The more such data are available before they are needed in a proposal the better. The more that the data can be disaggregated by subgroup, the more useful for winning grants it is likely to be. Among relevant subgroups are: disabilities, English language proficiency, race and ethnicity, gender, socioeconomic status, and mobility.

 

A later post will focus on where to find data useful for winning significant grant awards.

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