Your SlideShare is downloading. ×
0
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Demographic Analysis 5.28.2013
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Demographic Analysis 5.28.2013

92

Published on

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
92
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide
  • HealthyCity.org provides one of the largest community resource and data hubs in California, pulling information from trusted and reliable data sources and presenting it in user-friendly formats for local communities throughout the state. Learn about trusted data sources, how to interpret data and how to use it to meet your research and advocacy needs.
  • Edu: The Educational Opportunity program expands educational opportunities for low-income children from birth through high school graduation and ensures school facilities for all.UP: program at Advancement Project reduces and prevents community violence, making poor neighborhoods safer so that children can learn, families can thrive and communities can prosper.EPF:program reveals significant discrepancies between the allocation of public funds and the needs of low-income communities and communities of color, and makes public finance more transparent for improved advocacy and engagement.HC: is an information + action resource for California that unites community voices, rigorous research and innovative technologies to solve the root causes of social inequity.
  • HC.org provides these people with data and technology to support their work within and on behalf of our communities. HC.org helps encourage data-driven planning and inform policy within sectors such as Education, Public Safety, Health, Public Health, Government, etc. Some of our funders include F5, CA Endowment…
  • Agenda Slide
  • Here give an opportunity for the audience to throw out suggestions of data they are familiar with, have used before, are currently using, or are interested in.
  • Here give an opportunity for the audience to throw out suggestions of data they are familiar with, have used before, are currently using, or are interested in.
  • Here give an opportunity for the audience to throw out suggestions of data they are familiar with, have used before, are currently using, or are interested in.
  • Here give an opportunity for the audience to throw out suggestions of data they are familiar with, have used before, are currently using, or are interested in.
  • Mention that most of the data seen on our site is quantitative in nature, counts of people that fall into a certain category. The qualitative piece often comes in from attitudes of residents, that you can gather using short or in-depth interviews of residents in your community, etc. Qualitative data describes whereas quantitative data defines/measures. Ex: An interview of community residents’ attitudes on police presence in their neighborhood. Quantitative Ex: The count of people without health insurance in Los Angeles County.
  • Mention that most of the data seen on our site is quantitative in nature, counts of people that fall into a certain category. The qualitative piece often comes in from attitudes of residents, that you can gather using short or in-depth interviews of residents in your community, etc. Qualitative data describes whereas quantitative data defines/measures. Ex: An interview of community residents’ attitudes on police presence in their neighborhood. Quantitative Ex: The count of people without health insurance in Los Angeles County.
  • We have data from a wide variety of sources such as the US Census, CA Health Interview Survey, CA Dept of Ed and more. We also have User Uploaded data which is clearly labeled as such on HC.org and which we do not verify or vet. Here are some tips for vetting data sources you encounter.
  • Relate back to HC.org. Is it reliable? Would the same survey produce the same results again? This is related to consistency and stability of the data collection method.Is it valid? How well does it measure what it says it measures?
  • Complete list of all of our data sources with links back to their websites.
  • Variables: Ages 0-5, Percentage AdvancedIndicators: Age, 3rd Grade English-Language Arts LevelsSuppose you only have data, such as population, by county. Can you “aggregate” the data and come up with a population value for a larger geography like state?
  • Suppose you only have data, such as population, by county. Can you “aggregate” the data and come up with a population value for a larger geography like state?Can you aggregate number of births by ZIP Code to find out how many births there were in Yuba County?Can you aggregate the birth rates by ZIP Code to find out the Yuba County birth rate?
  • Data values with margins of error, which includes all ACS data are also non-aggregatable. Example: ACS 2005-09 5-Year Veterans Population for Yuba City is 4,938 (4,580 ~ 5,296).That means that the true value is somewhere between 4,580 and 5,296.
  • Indicator: Gen. CharacteristicVariable: Specific CharacteristicData Levels: Although your community or place may be identified by specific street boundaries, geographies are spatial (non-physical) boundaries, such as census tracts or ZIP codes. Administrative data, or data collected by persons, organizations or departments of government for their own purposes but often made available for public use, is usually collected for these geographies. To use this type of data in your research, particularly for making comparisons over time using multiple years of data, you will need to determine which geographies represent your community or place.Universe: Population/people included in the datasetMetadata is data about data! Source, year, methodology, geographical coverage, description of indicator/variables, data levels available.
  • Here’s where you’ll see all those things in the Map Room. In addition, click customize to modify your map. You can change the color scheme and the data ranges among other things.
  • Why use visuals? Gives people perspective provides context helps people relateThese are some things we’ve found helpful about visuals. Anything you want to add that would be key for a visual?
  • -Ex. 36% of all people prefer apple pie.-Ex. People buy more oranges compared to mangos. Do not have to add up to 100%. May also show change in number of apples bought over time.-Ex. population change growth over time comparing males and females.
  • -Ex. 36% of all people prefer apple pie.-Ex. People buy more oranges compared to mangos. Do not have to add up to 100%. May also show change in number of apples bought over time.-Ex. population change growth over time comparing males and females.
  • South Africa
  • Thematic – data aggregated to political, jurisdictional, or other boundaries such as counties and ZIP Codes. For example the number of families in poverty or the number of unemployed civilians in a city are displayed as thematic layers on our maps.Thematic/Indicator dataDemographic (population, educational attainment, ethnicity, etc.)Civic ParticipationChild WelfareChild Care & Early EducationIncome & PovertyEmploymentNonprofit InfrastructureEnvironment & Land UseHealth – Birth, Prenatal & ChildHealth - Conditions, Disease & InjuryHealth – DeathsHealth - Insurance & accessHealth – Physical Activity & NutritionNeighborhood & CommunityCrime & Public SafetyHousing
  • Viewing point and thematic data together enables you to get an initial picture of the distribution of resources, while understanding a particular characteristic about an area. For example, are there educational resources in areas with low educational attainment? Is there access to fresh food in areas with a high concentration of people with diabetes?Point DataGrocery StoresAlcohol OutletsNonprofit OrganizationsSchools (Public & Private)WIC Agencies & VendorsHospitals (OSHPD)Head Start AgenciesChild Care CentersEPA Hazard SitesFed. Qualified Health Centers (FQHC)Fast FoodBanks v. Check CashingCommunity Services (detailed Social Service data from 2-1-1 for 16 counties: Over 30,000 Service sites in CA; includes: Basic Needs, Legal Services, Education, Health Care, Employment, and many other Community Services)
  • Today we’ll look at two of the functions on HC.org: Maps and Charts. We’ll start with maps.You can access thematic data in the Map Room either by clicking on the Maps link at the top of the page or by using one of the quick links in the middle of the page which let you skip a few steps if you already know what you want to do.
  • We now see a map of HS grads in the city of Riverside. In this box you will see the name of the indicator you chose along with its metadata such as description, universe, source, year. As well as the data level, which is the geography at which the data is displayed. In this case it is Census Tract but if you were mapping the whole state of CA, you may want to look at a different data level such as County. HC.org automatically chooses a data level for you based on the geography you choose. However, you can always change it here if you want to see more/less detail (as long as data is available at multiple levels).Second, you’ll notice the legend in the bottom right corner, this shows you the range of values for the whole dataset, the indicator/variable name and the data level.Finally, you can view 2 thematic datasets at a time on HC.org, so you could click another Target and add a second characteristic like Percent of Families in Poverty or Median Household Income.
  • Relate back to HC.org. Is it reliable? Would the same survey produce the same results again? This is related to consistency and stability of the data collection method.Is it valid? How well does it measure what it says it measures?
  • We now see a map of HS grads in the city of Riverside. In this box you will see the name of the indicator you chose along with its metadata such as description, universe, source, year. As well as the data level, which is the geography at which the data is displayed. In this case it is Census Tract but if you were mapping the whole state of CA, you may want to look at a different data level such as County. HC.org automatically chooses a data level for you based on the geography you choose. However, you can always change it here if you want to see more/less detail (as long as data is available at multiple levels).Second, you’ll notice the legend in the bottom right corner, this shows you the range of values for the whole dataset, the indicator/variable name and the data level.Finally, you can view 2 thematic datasets at a time on HC.org, so you could click another Target and add a second characteristic like Percent of Families in Poverty or Median Household Income.
  • You can change the color scheme and the data ranges among other things.
  • Quantile: Each class contains an equal number of features. Equal Interval: Divides the range of values into equal-sized sub-ranges.Percent of African-Americans in California = 5.8%…Use Quantile to see where the highest concentrations of small populations areIn areas with higher Percent of African-Americans like south Los Angeles,…Use Equal Interval to see variation in areas with highly concentrated populations
  • You can access the Data Room using these links
  • In this example we are looking at a table and chart of Births by Mother’s Age in Fresno County. We get the information in table and chart form.
  • You can compare many geographies in the Data Room. You can also compare geographies in the Map Room but it is limited to two at a time. You can use this drop-down menu to change which year of data you are viewing (if >1 is available). In addition, you can view all years of data available at once, allowing you to trend data over time (data permitting). Finally, you can also change the type of chart from Bar to Pie to Stacked. Remember, pieces of the pie chart must add up to 100%!
  • Here’s where you’ll find the metadata in the Data Room. Whenever you see a red number next to your geography, that means the data is aggregated. It is a good idea to note which data level is being used for the aggregation. At this time you are not able to change the data level in the Data Room, although you can in the Map Room.
  • Data Updates – Click Features & News to access our Healthy City blog
  • Click on the Filter menu and select “data” to see our monthly data updates blog and any other data-related postsClick Help Center to find
  • Transcript

    • 1. Demographic AnalysisUsing HealthyCity.orgMay 28, 2013Information + action for social change
    • 2. Healthy City is a project of…A public policy change organizationrooted in the civil rights movement
    • 3. …is an information + action resource that unites rigorousresearch, community voices and innovative technologiesto solve the root causes of social inequityDIRECT TECHNICAL SUPPORT TO:COMMUNITY ORGSFOUNDATIONSGOVERNMENTCOMMUNITY RESEARCH LABTraining community groups to leadand sustain action-oriented research &technology projectsONLINE MAPPING TECHNOLOGYwww.HealthyCity.org
    • 4. …to fuel social change and improve our communitiesHealthyCity.orgWebsiteServiceProviderCaseManagerPolicyAdvocateFunderCommunityOrganizerResearcherWho UsesHealthyCity.org?GrantWriter
    • 5. Learning ObjectivesYou will learn…The importance of demographic dataKinds of demographic dataHow to map demographic data on HCHow to chart demographic data on HC
    • 6. What AreDemographics? They are categories of information describingpopulations and subsets of populations Ex. age, gender, ethnicity, income, etc. What are some other types of demographics?
    • 7. Why Important? Easily describe a population Measure growth or decline Environment, poverty Immigration, migration Socioeconomic power Understand characteristics, patterns, trends Race/ethnicity Target services or funding Communities with need
    • 8.  Where does the data come from? U.S. Census Sample Surveys Registration systems Accuracy varies by source Who collects data? Government Health organizations Private organizations i.e. ClaritasKinds of Data
    • 9.  Popular data sets or sources: U.S. Census American Community Survey CA Department of Public Health DataQuest – CA Dept. Education CA Healthy Interview Survey (CHIS) Accuracy varies by sourceKinds of Data
    • 10. Data Sources onHealthyCity.orgAnd many more…
    • 11. Time to Share:How have youused data ormaps in yourwork?1957 Wally Freeland
    • 12. Data SourceTipsKey Points to Keep in Mind:• What is the original source and how reliable is it?• How old is the data?• How was the data gathered and analyzed?• How complete is the data?• What are the pros and cons for a specific dataset?• Understand sample size, margins of error, confidence intervalhttp://www.census.gov/acs/www/
    • 13. Data Sources &Data Directory
    • 14. List of all DataSources onHealthyCity.orgList of all data onHealthyCity.org
    • 15. Click a Target andexplore data
    • 16. Click a Sub-Category
    • 17. Click an Indicatorand explorefurther
    • 18. VariablesGeographicUnitsData YearsIs itaggregatable?
    • 19. AggregationZIP Codes Yuba CountyYes, because…The data values are raw numbers such as number of housing unitsor populationCan you aggregate the number of births by ZIP Code to find outthe total number of births in Yuba County??
    • 20. AggregationZIP Codes Yuba CountyNo, because…The data values are percentages or rates, such as percentage offamilies in poverty or drop out rateX?Can you aggregate the birth rates by ZIP Code to find out thebirth rate in Yuba County?
    • 21. Data Lingo Recap• Indicators Age, Employment Status• Variables Ages 0-5, Currently Employed• Data Levels ZIP Code, Service Planning Area, County• Universe Total Population, Civilian Population Age 16 and Over• Metadata Supporting information about the dataset such as description, source,year, universe• Aggregation Combining data values from smaller geographies to create a data valuefor a larger geography
    • 22. IndicatorVariableUniverse
    • 23. Questions?
    • 24. • Colorful, engaging•Sources are cited•Issues displayed are important to your goal• Clear and easy to understandData VisualizationsHealthy City, 2011Data Source: US Census 2010Healthy City, 2011Data Source: US Census 2010 Healthy City, 2011Data Source: US Census 2010
    • 25. Data VisualizationsPie charts are useful for showing significantdifferences in percentages as parts of a whole.*Remember—values need to add up to 100%Bar graphs are useful forcomparing data between differentgroups or showing changes overtime.Line graphs are useful forshowing changes over time.
    • 26. Source: https://commons.wikimedia.org
    • 27. • Help reveal larger place-baseddynamics that numbers bythemselves cannot• Connect community knowledge and data to location• Support strategy through communicating patterns to abroad audience, clearly, quickly, and dramaticallyWhy Are Maps UsefulVisualizations?
    • 28. Organizations can use maps to:• Act on an issue/Confirm action• Strategy: Community Organizing• Strategy: Advocacy• Highlight an issue or a specificaspect of an issue• Strategy: Media/Communications• Strategy: Policy• Strategy: GrantwritingWhy Are Maps UsefulVisualizations?
    • 29. Map Community Data
    • 30. Types of Data on HealthyCity.orgThematicPopulation CharacteristicsCivic ParticipationEmployment, Income &PovertyHealth Conditions, Diseases,Injuries and DeathsCrime & Public SafetyHousingAnd much more…
    • 31. Services & PointsSocial Services & NonprofitsHospitals and FQHCsPublic & Private SchoolsGrocery Stores & WIC VendorsAlcohol Outlets & Toxic SitesAnd much more…Types of Data on HealthyCity.org
    • 32. Click on Change toselect your geography
    • 33. Select “City”, then“Pasadena”
    • 34. Click a “Target”to select data
    • 35. Change Data Level to view data by adifferent geographical unitShare your map:• Export to Word• Print• Save• Email
    • 36. Customize MapCustomize tabSee legend(i) toolAdd another layer of dataChange color gradient
    • 37. Add a second layer of data:Families in Poverty or MedianHousehold IncomeClick the “i” tool andthen click on map tosee data valuesSee range of datavalues in the LegendClick Customize tomodify your map
    • 38. Customize:• Absolute value or Percentage value• Number of classes• Colors• Data Range
    • 39. Equal IntervalBlack or African American (Non-Hispanic or Latino)Data RangesEqual Interval QuantileQuantile
    • 40. Questions?
    • 41. Chart Community Data
    • 42. Click on Change toselect your geography
    • 43. Select“County”, then“Fresno”
    • 44. Click a “Target”to select data
    • 45. Choose acategory
    • 46. Choose asub-category
    • 47. Ethnicity in Fresno County:50.3% of people are Hispanic/LatinoSelect theindicator you want
    • 48. How does this compareto the state of California?View other years ofdata or multipleyears at onceAbility to viewdifferent types ofcharts
    • 49. VariableClick Show/Hidedescription to seedetailsUniverse,Source, Year
    • 50. Click Show/Hide List tosee list of geographiesused to aggregate
    • 51. Questions?
    • 52. Monthly Blog aboutNew and Updated Data
    • 53. Data BlogClick Help Center toview User Guide, VideoTutorialsClick Filter andchoose“data”
    • 54. @HealthyCityCAFacebook.com/HealthyCityCA
    • 55. Thank you!

    ×