scholarly journals 1889 Oklahoma Land Run: The Settlement of Payne County

2018 ◽  
Vol 44 (1) ◽  
pp. 52-69 ◽  
Author(s):  
Karen Maguire ◽  
Branton Wiederholt
Keyword(s):  
Native American ◽  
Census Data ◽  
Demographic Characteristics ◽  
Household Size ◽  
Household Characteristics ◽  
Payne County

In this article, we examine the demographic characteristics of the non-Native American settlers in Payne County, Oklahoma, using the 1890 Territorial Census, which includes information on gender, household size and composition, and birth region. For comparison, we use census data from the 1880 Midwest census region to examine whether the household characteristics of the Payne County settlers were unique or representative of Midwestern families from which they emigrated. We find that US-born individuals were more likely to participate in the land run, but that the number and age of children were not significantly different from the Midwestern region.

The Digital Divide and K-12 Student Computer Use

10.28945/2926 ◽  
2005 ◽  
Author(s):  
James N. Morgan ◽  
Craig A. VanLengen
Keyword(s):  
Digital Divide ◽  
Computer Use ◽  
Census Data ◽  
Internet Access ◽  
Demographic Characteristics ◽  
The Internet ◽  
Substantial Impact ◽  
Limited Basis ◽  
K 12 ◽  
The Impact

The divide between those who have computer and Internet access and those who do not appears to be narrowing, however overall statistics may be misleading. Measures of computer availability in schools often include cases where computers are only available for administration or are available only on a very limited basis (Gootman, 2004). Access to a computer and the Internet outside of school helps to reinforce student learning and emphasize the importance of using technology. Recent U.S. statistics indicate that ethnic background and other demographic characteristics still have substantial impact on the availability and use of computers by students outside of the classroom. This paper examines recent census data to determine the impact of the household on student computer use outside of the classroom. Encouragingly, the findings of this study suggest that use of a computer at school substantially increases the chance that a student will use a computer outside of class. Additionally, this study suggests that computer use outside of the classroom is positively and significantly impacted by being in a household with adults who either use a computer at work or work in an industry where computers are extensively used.

scholarly journals Risk factors for young people not in education, employment or training (NEET) using the Scottish Longitudinal Study

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Dawn Everington ◽  
Zhiqiang Feng ◽  
Kevin Ralston ◽  
Chris Dibben
Keyword(s):  
Risk Factors ◽  
Longitudinal Study ◽  
Young People ◽  
Teenage Pregnancy ◽  
Census Data ◽  
Population Based ◽  
Vital Event ◽  
Household Characteristics ◽  
School Qualification ◽  
High Level

BackgroundThe high level of young people not in education, employment or training (NEET) has been an important long-standing issue in Scotland. The experience of being NEET has long term detrimental effects. Main AimIdentify risk factors that could inform interventions aimed at reducing the number of NEETs. MethodsWe use the Scottish Longitudinal Study (SLS) which provides a 5.3% representative sample of Scotland’s population based around the Censuses of 1991, 2001 and 2011. The SLS includes Vital Event data, Census data for the SLS sample and also those living in the same household and, since 2007, school census data. This allows us to study two cohorts of 16-19 year olds (the ages used in Scotland when considering NEET status) over a period of 10 years: those 6-9 years old at the time of the 1991 Census to the 2001 Census when they were 16-19 years old those 6-9 years old at the time of the 2001 Census to the 2011 Census when they were 16-19 years old We used logistic regression to investigate whether NEET status is associated with individual, family and household characteristics measured 10 years previously and later data including school qualification, school behaviour, areal characteristics and teenage pregnancy. ResultsThese analyses found several factors were associated with the likelihood of being NEET for both cohorts, including having no qualifications, teenage pregnancy and living in an area where there was a relatively high level of NEETs (100% census data). For the later cohort, school census data were available and school behaviour were important factors, whereas household characteristics at childhood were important factors for the earlier cohort. ConclusionA number of factors are associated with NEET but those closer in time to the NEET ages of 16-19 appear to be more important than childhood factors.

scholarly journals Determinants of Households’ Market Participation around Community Milk Cooling Plants, Western Kenya

2018 ◽  
Vol 10 (3) ◽  
pp. 204
Author(s):  
Justus I. Emukule ◽  
Mary J. Kipsat ◽  
Caroline C. Wambui
Keyword(s):  
Dairy Cow ◽  
Sampling Technique ◽  
Structured Interview ◽  
Household Size ◽  
Sub Saharan Africa ◽  
Primary Data ◽  
Market Participation ◽  
Household Characteristics ◽  
Sub Saharan ◽  
Multistage Sampling

Market participation in sub-Saharan Africa has been assessed mainly based on already producing households by looking at whether they sold or not, and if they sold, what quantities. The objective of this study was to determine the socio economic factors that influenced households’ decisions on market participation in terms of dairy cow ownership and quantity of milk sold while taking into consideration the non-producers using Heckman two stage model. The model allowed for not only determination of the effects of household characteristics on volume of milk surplus sold by already producing households but also drew inferences on the effect of household characteristics on probabilities of dairy cow ownership whileadding new information to literature by generating the truncation effect. A multistage sampling technique was used to select 544 producer and non-producer households and primary data collected using a semi structured interview schedule through personal interviews. From the results, probit marginal effects for dairy cow ownership were associated positively and statistically significant with household size, the level of education and land size owned by the households. The Heckman selection estimates revealed that increased number of dairy cows per household positively influenced the volumes of milk sold, while household size influenced negatively the quantity of milk sold. In conclusion, milk sales conditional on dairy cow ownership suffered from negative selectivity bias whereby a household with sample average characteristics who selected into dairy cow ownership secured 40% lower quantity of milk sold than would a household drawn at random.

Simple, school-based mass distribution as a small-town strategy

2013 ◽  
Vol 8 (3) ◽  
pp. 213-221
Author(s):  
David Knauf, RS, MS, MPH ◽  
Scot Phelps, JD, MPH
Keyword(s):  
Public Schools ◽  
Public School ◽  
Census Data ◽  
Health Department ◽  
Household Size ◽  
Distribution Model ◽  
School Staff ◽  
Communication Model ◽  
School Communication ◽  
School Based

Objective: Test a radically simple school-based point-of-dispensing model.Design: Prospective study.Setting: CommunityParticipants: Community residents with children at one middle school.Interventions: Rapid dispensing of medication.Main Outcome Measure(s): 1) Measure and extrapolate ability to distribute medications to Darien residents through school-based distribution model; 2) assess if using a limited staffing model with limited training was functional. Identify stress points; 3) understand the existing school communication model; 4) track and extrapolate the breakdown of adult-tochild doses distributed and compare to existing census data; and 5) measure throughput of school-based distribution model in the 50-minute drop-off period.Results: 1) This exercise supported the concept that rapid medication distribution through the public schools is an appropriate strategy for health departments, particularly departments with limited resources. 2) Just-in-time briefing worked well as a training strategy. The primary stress points identified were in restock—if medication was in blister packs, we would not be able to stock vests with 100 of each as they are substantially bigger than mints. 3) The secure Darien Public School notification system was ideal for distributing information to parents since they tend to receive school communication on a regular basis and by definition, access is limited to town residents. 4) When asked about household size, most drivers indicated “two adults and two (or more) children.”We distributed medication for 784 adults and 963 children. This ratio was higher than the 2010 Census, which had an average household size of 3.08 in Darien. 5) In 50 minutes, using a mix of Health Department and school staff, medication was distributed to 1,747 residents, almost 10 percent of the population. The hourly throughput from this model was distribution to 2,096 people per hour or 699 people per distributor per hour. This compares favorably to almost every other nonmedical distribution model.Conclusions: Using four Health Department staff and six public school staff, we distributed medication to 784 adults and 963 pediatric residents in 50 minutes at one school. If we extrapolated that across the six other public schools in Darien, we could provide medication to more than 10,000 residents within 8 hours. While we are cognizant of the limitations and drawbacks of this model, we strongly believe that it is the only practical solution to the problem of rapid distribution of medication to the entire community.

scholarly journals Risk factors for young people not being in education, employment or training (NEET): Longitudinal analyses over a 10 year follow up period in Scotland

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Dawn Everington ◽  
Zhiqiang Feng ◽  
Kevin Ralston ◽  
Chris Dibben
Keyword(s):  
Risk Factors ◽  
Young People ◽  
Teenage Pregnancy ◽  
Census Data ◽  
Local Area ◽  
Population Based ◽  
Vital Event ◽  
Household Characteristics ◽  
School Qualification ◽  
High Level

BackgroundThe high level of young people who are NEET has been an important long-standing issue in Scotland. Having been NEET has several long term detrimental effects. Identifying risk factors of becoming NEET may inform interventions aimed at reducing the overall number of NEETs. DataWe used the Scottish Longitudinal Study (SLS) - a 5.3% sample of Scotland’s population based around the 1991, 2001 and 2011 Censuses. The SLS include vital event data and since 2007, school census data. Census data are available for family members of the SLS sample. We followed two cohorts to age 16-19 years: the first cohort included 6-9 years old at the 1991 census and the second 6-9 years old at the 2001 census. MethodsWe used logistic regression to investigate whether NEET status was associated with individual, family and household characteristics measured 10 years previously, school qualifications and behaviour, local area characteristics and whether they had had a teenage pregnancy. FindingMany factors were associated with the likelihood of being NEET - highest school qualification and behaviour, teenage pregnancy (females), household characteristics and living in an area having a relatively high level of NEETs.

scholarly journals The Wisconsin Longitudinal Study: Overview, Data Linkages, and Future Plans

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 222-222
Author(s):  
Michal Engelman
Keyword(s):  
Native American ◽  
Asian American ◽  
Census Data ◽  
Cognitive Status ◽  
Physical And Mental Health ◽  
High School Class ◽  
State Tax ◽  
The Life Course ◽  
Racial Ethnic ◽  
Data Linkages

Abstract The WLS is a study of Wisconsin high school class of 1957 graduates, with follow-ups in 1964, 1975, 1993, 2004, 2011, and 2020. The data reflect the life course of the graduates (and their siblings), initially covering education, switching to family, career, and social participation in midlife, and physical and mental health, cognitive status, caregiving, and social support as respondents age. The WLS is linked to multiple administrative data sources including: parent earnings from state tax records (1957-60) and Social Security earnings and benefits for respondents; 1940 Census data; characteristics of high schools and colleges, employers, industries, and communities of residence; voting records from 2000-2018; Medicare claims; and the National Death Index. Efforts are underway to expand the racial/ethnic and educational composition of the WLS by supplementing the original sample with a new cohort of age-matched adults drawn from Wisconsin’s Black, Hispanic, Asian-American, and Native American communities.

scholarly journals 555. The Burden of Invasive Staphylococcus Aureus Disease Among Native Americans on the Navajo Nation

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S263-S263
Author(s):  
Catherine Sutcliffe ◽  
Lindsay Grant ◽  
Angelina Reid ◽  
Grace K Douglass ◽  
Robert Weatherholtz ◽  
...  
Keyword(s):  
Staphylococcus Aureus ◽  
Native American ◽  
Native Americans ◽  
Incidence Rate ◽  
Rate Ratio ◽  
Census Data ◽  
Incidence Rate Ratio ◽  
Incidence Rates ◽  
Navajo Nation ◽  
Significant Difference

Abstract Background Native Americans in the southwestern United States (US) may be at higher risk for invasive infections due to Staphylococcus aureus. The objective of this study was to determine the burden of invasive S. aureus among Native Americans on the Navajo Nation. Methods Prospective population and laboratory-based surveillance for invasive S. aureus infections was conducted from May 2016 through April 2018. A case was defined as a Native American individual living on or around the Navajo Nation with S. aureus isolated from a normally sterile body site. Incidence rates were calculated using the Indian Health Service User Population from 2016 and 2017 as the denominators for Years 1 and 2, respectively. Age-standardized incidence rates were calculated using US Census data from 2015 as the reference group. Results 363 cases were identified (Year 1: 159; Year 2: 204). Most cases were adults (96.9%; median age: 56.0 years) and had ≥1 underlying medical condition (94.5%), of which the most common were diabetes (63.2%), hypertension (39.1%), and obesity (37.2%). 38.0% of cases were categorized as community acquired and 28.7% of infections were methicillin-resistant (MRSA). 83.2% of cases were hospitalized, 10.7% required amputation, and 6.5% died within 30 days of the initial culture. The overall incidence of invasive S. aureus was 74.4 per 100,000 persons (95% confidence interval [CI]: 67.1, 82.4) with a significantly higher incidence in the second year (Year 1: 64.9; Year 2: 84.0; incidence rate ratio: 1.29; 95% CI: 1.05, 1.59). The overall incidence of invasive MRSA was 21.3 per 100,000 persons (95% CI: 17.6, 25.8) with no significant difference by year (Year 1: 21.2; Year 2: 21.4; incidence rate ratio: 1.01; 95% CI: 0.69, 1.48). The incidence of invasive S. aureus and MRSA increased with age and was highest among individuals ≥65 years of age. The overall age-standardized incidence of invasive MRSA was 25.9 per 100,000 persons (Year 1: 26.0; Year 2: 25.7; for comparison US 2015 general population: 18.8 per 100,000 persons). Conclusion The Navajo Nation has a higher burden of invasive MRSA than the general US population. Further research is needed to evaluate trends over time and identify prevention strategies and opportunities for intervention. Disclosures All authors: No reported disclosures.

scholarly journals Determinants of Participation and Consumption: The Case of Crawfish in South Louisiana

1995 ◽  
Vol 27 (1) ◽  
pp. 253-262 ◽  
Author(s):  
S. T. Yen ◽  
L. E. Dellenbarger ◽  
A. R. Schupp
Keyword(s):  
Employment Status ◽  
Household Size ◽  
The Other ◽  
Size Increase ◽  
Variable Model ◽  
Limited Dependent Variable ◽  
Household Characteristics ◽  
Consumption Decisions ◽  
Education And Employment ◽  
South Louisiana

AbstractThis study investigates the determinants of crawfish consumption in South Louisiana using a generalized limited dependent variable model that accounts for both participation and consumption decisions. Income, Catholic, white, and household size increase the likelihood of crawfish consumption but not the conditional level of consumption. Education and employment status are among the other household characteristics that determine the conditional level of consumption.

scholarly journals Using the Poisson Distribution for Estimating Households by Household Size

2017 ◽  
Author(s):  
Beth Jarosz
Keyword(s):  
Poisson Distribution ◽  
Census Tract ◽  
Census Data ◽  
Statistical Technique ◽  
Household Size ◽  
Size Distributions ◽  
Census Tracts ◽  
Reliable Tool ◽  
Census Tract Level ◽  
Simplified Method

Infrastructure planners often require detail about the number of households by household size at very small levels of geography (census tract or smaller) to calibrate their models. In addition, these data must also be projected into the future in order to support planning efforts.This paper documents a statistical technique for estimating the distribution of households by household size using a modified application of the Poisson distribution. This technique is valuable to demographers as it provides a simple and reliable tool for estimating the distribution of household sizes at nearly any level of geography for a given point in time.There are a wide variety of applications of the Poisson distribution in biology and engineering. However, there are only few documented applications in demographics. This article puts forth two key advancements over prior published work:(1) an entirely new, and greatly simplified method for applying the distribution,(2) evidence of the reliability of the technique for estimating household size distributions in small geographic areas (e.g. counties and census tracts).Tests on U.S. Census data (1990-2010) suggest that the model is suitable for use in estimating the distribution of households by household size at the state, county, and census tract level.

scholarly journals Geographic variation in the incidence of treated end-stage renal disease.

1991 ◽  
Vol 2 (6) ◽  
pp. 1144-1152 ◽  
Author(s):  
B Foxman ◽  
L H Moulton ◽  
R A Wolfe ◽  
K E Guire ◽  
F K Port ◽  
...  
Keyword(s):  
United States ◽  
Native American ◽  
Renal Disease ◽  
End Stage Renal Disease ◽  
Census Data ◽  
Disease Incidence ◽  
The United States ◽  
Low Incidence ◽  
Stage Renal Disease ◽  
End Stage

To facilitate identification of geographic clusters of areas with high or low incidence of treated end-stage renal disease, the 1983 to 1988 incidence by county was studied among whites and nonwhites less than 60 yr of age in the United States. End-stage renal disease incidence counts for 1983 to 1988 were obtained from the United States Renal Data System data base and linked to the 1985 county population obtained from U.S. Census data. Maps were smoothed by the method adopted by the National Cancer Institute that smooths only according to variability of the local rates, ignoring geographic information on clustering of events. In addition to identifying specific counties with exceptionally high or low incidence, geographic patterns were observed with many similarities across whites and nonwhites: notably high rates of disease in areas of the Southwest, the Southeast and in counties with Native American reservations and low rates in the West and Northwest. On the basis of these findings, several hypotheses are presented to explain the observed variation in treated end-stage renal disease incidence rates.

Sign in / Sign up

Export Citation Format

Share Document