The population density of Lansing, MI was 3,237 in 2018.
Population Density
Population Density is computed by dividing the total population by Land Area Per Square Mile.
Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API -
Geographic and Population Datasets Involving Lansing, MI
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Population Density By Land Area And County In Utah 2010
opendata.utah.gov | Last Updated 2019-02-11T21:26:09.000ZThis data set contains population density by land area and county of residence in Utah for 2010.
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Demographics Stats at a Glance
datahub.austintexas.gov | Last Updated 2023-09-19T21:56:30.000ZThese are the statistics listed in the "Stats at a Glance" section of the City of Austin demographics website: https://demographics-austin.hub.arcgis.com/
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Internet Master Plan: Adoption and Infrastructure Data by Neighborhood
data.cityofnewyork.us | Last Updated 2022-09-23T19:23:10.000ZKey indicators of broadband adoption, service and infrastructure in New York City.</p> <b>Data Limitations:</b> Data accuracy is limited as of the date of publication and by the methodology and accuracy of the original sources. The City shall not be liable for any costs related to, or in reliance of, the data contained in these datasets.
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Effect of Participatory Video Extension on Adoption of Drought-Tolerant Maize, Kenya: Pre Intervention Survey
data.usaid.gov | Last Updated 2023-12-15T18:05:21.000ZA field experiment was conducted in February 2016 in Machakos and Makueni Counties in Kenya aimed at testing methods to increase farmer adoption of drought tolerant (DT) maize varieties, including a participatory video intervention as well as having the video supported by a series of phone-based audio reminders. A list of 50 villages were provided by Farm Input Promotions-Africa (FIPS), an agricultural service provider, including 41 where FIPS was active and 9 where they were not. The 9 villages unsupported by FIPS were all included, and 18 of the supported villages were randomly chosen to be in the study. These 27 villages were randomly assigned to one of three groups: control, video only, and video plus audio reminders. Thirty maize farmers in the non-FIPS villages (which had a larger population, and 17 farmers in the FIPS villages) were randomly chosen and were surveyed before and after an intervention to see if knowledge of and adoption of DT maize varieties were impacted. The primary intervention was a participatory video screened in a set of villages that educated farmers about DT maize varieties including appropriate planting and growing techniques. A narrative/story-telling film shot in the region was used featuring local farmer-actors speaking in the local dialect (Kamba). Following the screening, a moderated discussion was held to reinforce information from the video. In the video plus audio group, a series of four follow-up audio reminders were sent to farmers' mobile phones at key points in the season. Farmers in the control group of villages received no video or audio interventions. The baseline survey was completed in early February 2016, the video screenings took place in late February, and the follow-up survey on the same households was completed in September 2016. A full description of theory, method, and results can be found in Cai, Tian. "Knowledge, Risk, and Benefit Perceptions: Using Participatory Video and Tailored Mobile Messages to Motivate Farmers' Uptake of Drought Tolerant (DT) Maize Seed in Kenya." Order No. 10689089 Michigan State University, East Lansing, 2017: ProQuest.
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Effect of Participatory Video Extension on Adoption of Drought-Tolerant Maize, Kenya: Post Intervention Survey
data.usaid.gov | Last Updated 2023-12-15T18:04:36.000ZA field experiment was conducted in 2016 in Machakos and Makueni Counties in Kenya aimed at testing methods to increase farmer adoption of drought tolerant (DT) maize varieties, including a participatory video intervention as well as having the video supported by a series of phone-based audio reminders. A list of 50 villages were provided by Farm Input Promotions-Africa (FIPS), an agricultural service provider, including 41 where FIPS was active and 9 where they were not. The 9 villages unsupported by FIPS were all included, and 18 of the supported villages were randomly chosen to be in the study. These 27 villages were randomly assigned to one of three groups: control, video only, and video plus audio reminders. Thirty maize farmers in the non-FIPS villages (which had a larger population, and 17 farmers in the FIPS villages) were randomly chosen and were surveyed before and after an intervention to see if knowledge of and adoption of DT maize varieties were impacted. The primary intervention was a participatory video screened in a set of villages that educated farmers about DT maize varieties including appropriate planting and growing techniques. A narrative/story-telling film shot in the region was used featuring local farmer-actors speaking in the local dialect (Kamba). Following the screening, a moderated discussion was held to reinforce information from the video. In the video plus audio group, a series of four follow-up audio reminders were sent to farmers' mobile phones at key points in the season. Farmers in the control group of villages received no video or audio interventions. The baseline survey was completed in early February 2016, the video screenings took place in late February, and the follow-up survey on the same households was completed in September 2016. A full description of theory, method, and results can be found in Cai, Tian. "Knowledge, Risk, and Benefit Perceptions: Using Participatory Video and Tailored Mobile Messages to Motivate Farmers' Uptake of Drought Tolerant (DT) Maize Seed in Kenya." Order No. 10689089 Michigan State University, East Lansing, 2017: ProQuest.