Relevant bibliographies by topics / Idaho, census

Academic literature on the topic 'Idaho, census'

Author: Grafiati
Published: 27 July 2024
Last updated: 28 July 2024

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Journal articles on the topic "Idaho, census"

1

Jankowski, Piotr, and Blake Brown. "Health Care Accessibility Modeling: Effects of Change in Spatial Representation of Demand for Primary Health Care Services." Quaestiones Geographicae 33, no. 3 (September 1, 2014): 39–53. http://dx.doi.org/10.2478/quageo-2013-0028.

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Abstract Health care accessibility can be measured by the number of prospective patients who could reach a medical facility within a prescribed time limit. The representation of health care demand in estimating accessibility is an important consideration since different spatial aggregations of demand have different consequences with regard to accessibility estimates. This article examines the effects of aggregating population demand for primary health care, ranging from census tract to aggregated census block, on estimates of primary health care accessibility. Spatial representations of aggregated demand were incorporated into a location-allocation model in order to determine a measure of accessibility represented by the unmet demand for primary health care services. The model was implemented for the U.S. State of Idaho, based on the allocation of Idaho residents’ demand for primary health care to the state’s existing primary health care facilities. The results confirm a relationship between the level of demand aggregation and the level of potential accessibility. In case of a rural state such as Idaho the relationship is positive; higher levels of aggregation result in higher measures of accessibility.
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O'Brien, Klae D., Sarah A. Bush, Kattlyn J. Wolf, and Maggie Elliot. "The communication preferences of University of Idaho Extension professionals and their constituents." Advancements in Agricultural Development 4, no. 4 (December 20, 2023): 58–68. http://dx.doi.org/10.37433/aad.v4i4.393.

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As Cooperative Extension Services (CES) grow, agriculture evolves, and urbanization increases, Extension professionals are challenged to continue meeting the needs of their constituents by providing reliable, research-backed information to their communities. This includes utilizing appropriate communication means to reach their constituents. Therefore, the purpose of this study was to examine the communication preferences of University of Idaho CES professionals and their constituents and the communication types and channels most used. We used a cross-sectional descriptive census survey design and administered the survey to all University of Idaho CES faculty and educators. We analyzed the data via descriptive statistics, Wilcoxon signed rank tests, and paired sample t-tests. University of Idaho CES professionals ranked mainly individual communication channels as their preferred method of communication. However, they felt their constituents may prefer mass or group communication channels more than they do. CES professionals should utilize audience segmentation to serve their constituents better. COVID-19 also significantly increased the time spent preparing communications and utilizing mass communications. While technological-based communication increased during COVID-19, it is important to consider access and availability to constituents. Understanding what resources constituents have available and how they prefer to receive their information, can help CES professionals maintain relationships with their audiences.
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Nguyen, Tanh T. N. "Identifying and assessing the residency effect in Pocatello, Idaho, using combined census and parcel data." Applied Geography 69 (April 2016): 10–24. http://dx.doi.org/10.1016/j.apgeog.2016.02.004.

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4

Smith, Kasee, and Bishal Thapa. "Examining Differences in Noncognitive Skills for State-Level Career Development and Leadership Development Event Participants." Journal of Agricultural Education 63, no. 2 (June 30, 2022): 251–65. http://dx.doi.org/10.5032/jae.2022.02251.

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Educators are increasingly pressured to include experiences for students which will help develop noncognitive skills. Noncognitive skills lie outside of the physiological ability to process information and encompass adjacent concepts including soft-skills, 21st century skills, or employability skills. Grit, optimism, and self-efficacy are three noncognitive skills which overlap substantially with the three-component model for agricultural education. In agricultural education, Career and Leadership Development Events (CDE/LDE) allow students to work persistently toward a task and develop expectations for ability to perform and outcomes of the competitive event along with other actions researchers have concluded can help build noncognitive skills in adolescents. This study was designed to describe the grit, optimism, and self-efficacy of CDE & LDE competitors in Idaho and determine if differences exist between students who performed at the gold-rank level, and those who did not receive a gold ranking in their respective events. This study was a census of all students (N = 413) who competed at a CDE or LDE at the 2018 Idaho Leadership Development Conference. Results of independent samples t-tests revealed differences between both grit and self-efficacy scores of participants based on ranking and differences in self-efficacy based on event type. The conclusions drawn from this study allow us to recommend areas for continued examination related to noncognitive skills in agricultural education, and practical solutions for agricultural educators to enhance noncognitive skills in their classrooms.
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Antolin, Michael F., Beatrice Van Horne, Michael D. Berger, Jr., Alisha K. Holloway, Jennifer L. Roach, and Ronald D. Weeks, Jr. "Effective population size and genetic structure of a Piute ground squirrel (Spermophilus mollis) population." Canadian Journal of Zoology 79, no. 1 (January 1, 2001): 26–34. http://dx.doi.org/10.1139/z00-170.

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Piute ground squirrels (Spermophilus mollis) are distributed continuously in habitat dominated by native shrubs and perennial grasses in the Snake River Birds of Prey National Conservation Area in Idaho, U.S.A. This habitat is being fragmented and replaced by exotic annual plants, changing it to a wildfire-dominated system that provides poor habitat for ground squirrels. To assess potential effects of this fragmentation on ground squirrel populations, we combined an estimate of effective population size (Ne) based upon a demographic study with a population genetic analysis. The study area included three subpopulations separated from each other by 8–13 km. The ratio of effective population size to census number (Ne/N) was 0.57. Combining Ne/N with dispersal distances from a radio-tracking study, we calculated that neighborhood size was 62.2 ha, which included between 204 and 480 individuals. Our population genetic analysis (based on randomly amplified polymorphic DNA (RAPD) and microsatellite markers) showed relatively low levels of genetic differentiation (Qpopulations [Formula: see text] 0.07–0.10) between subpopulations and no inbreeding within subpopulations (f = 0.0003). These estimates of population subdivision translate into an effective migration rate (Nem) of 2.3–3.3 per year, which represents a high level of gene flow. Invasion by exotics will reduce the overall productivity of the habitat, and will lead to isolation among subpopulations if favorable habitat patches become isolated.
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6

Soltani, Nader, J. Anita Dille, Robert H. Gulden, Christy L. Sprague, Richard K. Zollinger, Don W. Morishita, Nevin C. Lawrence, et al. "Potential Yield Loss in Dry Bean Crops Due to Weeds in the United States and Canada." Weed Technology 32, no. 3 (January 24, 2018): 342–46. http://dx.doi.org/10.1017/wet.2017.116.

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AbstractEarlier reports have summarized crop yield losses throughout various North American regions if weeds were left uncontrolled. Offered here is a report from the current WSSA Weed Loss Committee on potential yield losses due to weeds based on data collected from various regions of the United States and Canada. Dry bean yield loss estimates were made by comparing dry bean yield in the weedy control with plots that had >95% weed control from research studies conducted in dry bean growing regions of the United States and Canada over a 10-year period (2007 to 2016). Results from these field studies showed that dry bean growers in Idaho, Michigan, Montana, Nebraska, North Dakota, South Dakota, Wyoming, Ontario, and Manitoba would potentially lose an average of 50%, 31%, 36%, 59%, 94%, 31%, 71%, 56%, and 71% of their dry bean yield, respectively. This equates to a monetary loss of US $36, 40, 6, 56, 421, 2, 18, 44, and 44 million, respectively, if the best agronomic practices are used without any weed management tactics. Based on 2016 census data, at an average yield loss of 71.4% for North America due to uncontrolled weeds, dry bean production in the United States and Canada would be reduced by 941,000,000 and 184,000,000 kg, valued at approximately US $622 and US $100 million, respectively. This study documents the dramatic yield and monetary losses in dry beans due to weed interference and the importance of continued funding for weed management research to minimize dry bean yield losses.
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7

Shahzad, Moazzam, Muhammad Fareed Khalid, Robin Park, Muhammad Kashif Amin, Iqra Anwar, and Michael Vishal Jaglal. "Geographic and racial disparities in bi-specific antibodies trials access for diffuse large B-cell lymphoma." Journal of Clinical Oncology 42, no. 16_suppl (June 1, 2024): 1525. http://dx.doi.org/10.1200/jco.2024.42.16_suppl.1525.

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1525 Background: The trials of bispecific antibodies to treat diffuse large B-cell lymphoma (DLBCL) have increased exponentially. However, there is a geographic limitation to offering these trials and universal access appears to be limited. Here, we investigate the geographical and racial disparities in accessing bispecific antibodies trials for DLBCL. Methods: We searched ClinicalTrials.gov using the terms for DLBCL and bispecific antibodies. A total of 13 out of 51 clinical trials with one or more open sites in the United States (US) were included in this systematic review. 2020 US Census Bureau data was used to obtain data on race and ethnicity. Analysis for this study was performed using SPSS version 26. Results: The majority of the included trials were Phase I (62%) followed by Phase II (23%), and Phase I/II (15%). A total of 885 participants were either enrolled or expected to enroll in these clinical trials. Nine (69%) clinical trials were only open in the US while 4 (31%) clinical trials were open in the US and other countries. The majority of the trials were funded by the pharmaceutical industry 62%. There were 50 unique study sites distributed over 24 states with a 2.4 (1-10) mean number of trials per state and 9.9 (1-39) mean number of sites per trial. Study sites were distributed in 24 different states. Midwestern states had the highest number of trials 28%, followed by Southern 26%, Northeastern 24%, and Western 22%. The highest number of study locations (10) and the highest number of open studies (10) were in California. Twenty-seven states had no open bispecific antibodies trials including three in the Northeast (Maine, Rhode Island, and Vermont), five in the Midwest (Illinois, Indiana, Nebraska, North and South Dakota), eight in the South (Delaware, Virginia, District of Columbia, West Virginia, Mississippi, Arkansas, Louisiana, and Oklahoma), and eleven in the West (Arizona, Colorado, Idaho, New Mexico, Montana, Nevada, Wyoming, Alaska, Hawaii, Oregon, and Washington). Using US Census Bureau data, only 20% of African Americans (AA) (8 349 699 of 41 104 200) lived in a county with a bispecific antibodies trial. There were only five states (21%) with 50% or more of the AA population living in a county with an open bispecific antibodies trial and seven states (29%) with 30-49.9% of their AA county residents. Five states (21%) had less than 10% of the AA population living in a county with an open bispecific antibodies trial. Nine (90%) out of ten states with the highest proportion of AA residents (18.6%-41.4%) have no (five states) or only one clinical trial site (four states). Conclusions: There is significant geographic and racial disparity in accessing bispecific antibodies trials for DLBCL. Strategies should be framed to address the causes of the observed disparities and to improve access to these trials.
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8

Witiw, Christopher D., Fabrice Smieliauskas, Sandra A. Ham, and Vincent C. Traynelis. "Cervical disc replacement: examining “real-world” utilization of an emerging technology." Journal of Neurosurgery: Spine 32, no. 5 (May 2020): 689–95. http://dx.doi.org/10.3171/2019.10.spine19919.

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OBJECTIVECervical disc replacement (CDR) has emerged as an alternative to anterior cervical discectomy and fusion (ACDF) for the management of cervical spondylotic pathology. While much is known about the efficacy of CDR within the constraints of a well-controlled, experimental setting, little is known about general utilization. The authors present an analysis of temporal and geographic trends in “real-world” utilization of CDR among those enrolled in private insurance plans in the US.METHODSEligible subjects were identified from the IBM MarketScan Databases between 2009 and 2017. Individuals 18 years and older, undergoing a single-level CDR or ACDF for cervical radiculopathy and/or myelopathy, were identified. US Census divisions were used to classify the region where surgery was performed. Two-level mixed-effects regression modeling was used to study regional differences in proportional utilization of CDR, while controlling for confounding by regional case-mix differences.RESULTSA total of 47,387 subjects met the inclusion criteria; 3553 underwent CDR and 43,834 underwent ACDF. At a national level, the utilization of single-level CDR rose from 5.6 cases for every 100 ACDFs performed in 2009 to 28.8 cases per 100 ACDFs in 2017. The most substantial increases occurred from 2013 onward. The region of highest utilization was the Mountain region (Arizona, Colorado, Idaho, Montana, Nevada, New Mexico, Utah, and Wyoming), where 14.3 CDRs were performed for every 100 ACDFs (averaged over the 9-year period of study). This is in contrast to the East South Central region (Alabama, Kentucky, Mississippi, and Tennessee), where only 2.1 CDRs were performed for every 100 ACDFs. Patient factors that significantly increased the odds of undergoing a CDR were age younger than 40 years (OR 15.9 [95% CI 10.0–25.5]; p < 0.001), no clinical evidence of myelopathy/myeloradiculopathy (OR 1.5 [95% CI 1.4–1.7]; p < 0.001), and a Charlson Comorbidity Index score of 0 (OR 2.7 [95% CI 1.7–4.2]; p < 0.001). After controlling for these factors, significant differences in utilization rates remained between regions (chi-square test = 830.4; p < 0.001).CONCLUSIONSThis US national level study lends insight into the rate of uptake and geographic differences in utilization of the single-level CDR procedure. Further study will be needed to ascertain specific factors that predict adoption of this technology to explain observed geographic discrepancies.
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9

Shahzad, Moazzam, Muhammad Fareed Khalid, Ahmad Basharat, Atif Butt, Sakina Abbas, Hovra Zahoor, Fizza Mohsin, et al. "Geographic and Racial Disparities in Chimeric Antigen Receptor-T Cells and Bispecific Antibodies Trials Access for Diffuse Large B-Cell Lymphoma." Blood 142, Supplement 1 (November 28, 2023): 2414. http://dx.doi.org/10.1182/blood-2023-172935.

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Introduction: The number of clinical trials of chimeric antigen receptor T- cell (CAR-T) therapy and bispecific antibodies to treat diffuse large B-cell lymphoma (DLBCL) has increased exponentially. However, there is geographic limitation to offering these trial and universal access appears to be limited especially for minorities and those in low socioeconomic stratum. Here, we investigate the geographical and racial disparities in accessing CAR-T cell therapy and bispecific antibodies trials for DLBCL. Methods: Data on clinical trials were obtained from ClinicalTrials.gov, the largest clinical trials registry database that provides data on clinical trials that are completed or in process. We searched ClinicalTrials.gov in May 2023 using the terms diffuse large B-cell lymphoma, DLBCL, CAR-T, chimeric antigen receptor T cells, chimeric, bispecific antibodies, bispecific, BCMA, and T-cell engager. All available trials listed as completed, recruiting, active-nonrecruiting, terminated, or suspended. The collected data abstracted from ClinicalTrials.gov included study titles, National Clinical Trial identification numbers, trial phase and intervention, actual or expected number of participants (in studies that did not complete enrollment), primary outcomes, recruiting sites, funders, and specific inclusion and exclusion criteria. 2020 United States (US) Census Bureau data was used to obtain data on race and ethnicity. Analysis for this study was performed using SPSS version 26. Results: A total of 76 out of 133 clinical trials with one or more open site in the US were included for this systematic review. There were 63 (82.9%) CAR-T therapy and 13 (17.1%) bispecific antibodies trials. A total of 166823 participants were either enrolled or expected to enroll in these clinical trials including 165938 (99.5%) of CAR-T and 885 (0.5%) bispecific antibodies clinical trials participants. Sixty-five (85.5%) clinical trials were only open in the US while 11 (14.5%) clinical trials were open in the US and other countries. The majority of the trials 49 (64.5%) were funded by the industry, while 27 (35.5%) were non-industry sponsored. The primary outcomes of the studies were safety related, efficacy related, and both safety and efficacy related in 43 (56.6%), 22 (28.9%), and 11 (14.5%) trials, respectively. One hundred and twenty-six unique study sites for the 76 analyzed clinical trials were identified. The mean number of sites per trial were 4.5 (1-26) for CAR-T trials and 4.4 (1-24) for bispecific antibodies. The study sites were distributed in 31 different states and mean number of trial per state were 11 (0-51). Most sites for trials were in Southern states 39 (31%), followed by Midwestern 32 (25.4%), Northeastern 30 (23.8%), and Western states 25 (19.8%). The highest number of study locations were in California (13), New York (9), and Pennsylvania (9) while the highest number of open studies were in California (51), Texas (32), and New York (23). Twenty states had no open CAR-T or bispecific antibodies clinical trials including three in the Northeast (Maine, Rhode Island, and Vermont), three in the Midwest (Indiana, North and South Dakota), seven in the South (Delaware, District of Columbia, West Virginia, Mississippi, Arkansas, Louisiana, and Oklahoma), and seven in the West (Idaho, New Mexico, Montana, Nevada, Wyoming, Alaska, and Hawaii). (Figure 1A) Using Census Bureau data, only 33.3% of the African American (AA) (13 669 915 of 41 104 200) lived in a county with a CAR-T or bispecific antibodies trial. There were only six states (12%) with 50% or more of the AA population living in a county with an open CAR-T or bispecific antibody trial and 15 states (29%) with 30% or more of their AA county residents. Seven out of ten states with the highest proportion of AA residents (18.6%-41.4%) have no (four states) or less than four clinical trial sites (three states) for either CAR-T or bispecific antibodies. (Figure 1B) Conclusion: There is significant geographic and racial disparity in accessing CAR-T cell therapy and bispecific antibodies trials for DLBCL. Strategies should be framed to address the causes for the observed disparities and to improve access.
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10

Buchalter, R. Blake, Alok A. Khorana, Shimoli Barot, David Liska, and Stephanie L. Schmit. "Abstract 5907: Hot and cold spots of young-onset colorectal cancer mortality in U.S. counties, 1999-2019." Cancer Research 82, no. 12_Supplement (June 15, 2022): 5907. http://dx.doi.org/10.1158/1538-7445.am2022-5907.

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Abstract Colorectal cancer mortality rates among those diagnosed under age 50 have been rising. Geospatial patterns of young-onset colorectal cancer (yoCRC) mortality rates in the U.S. have received limited attention, and prior studies were limited by a lack of adjustment for demographic factors, a focus only on hot spots, and a lack of cluster-specific relative risks (RRs). Adjustment allows clusters to represent areas where modifiable factors may be driving anomalous mortality rates. Aggregated 1999-2019 yoCRC mortality data for 3,036 counties was obtained from CDC WONDER Underlying Cause of Death, and demographics were obtained from 2005-2019 census variables and 2015 Robert Graham Center data. Mortality rates were stabilized via spatial smoothing, then a quasi-Poisson model was fit with median age, sex, race/ethnicity, and social deprivation. Adjusted yoCRC death counts were utilized in a Poisson circular spatial scan to identify Gini hot/cold spots at a maximum cluster size of 6% of the population at risk. Resulting RRs signified clusters where adjusted deaths were higher or lower than expected based on population and adjusted total deaths. Three statistically significant hot spots and five statistically significant cold spots were identified. The cluster with the largest log-likelihood ratio was a southern hot spot region encompassing counties horizontally from eastern Texas to central Georgia and vertically from southern Louisiana to southern Kentucky (RR: 1.26; p&lt;0.0001). Other notable clusters included hot spots centered in North Carolina (RR: 1.18; p&lt;0.0001) and Ohio (RR: 1.18; p&lt;0.0001), and large cold spots in western counties (Table 1). Our results reiterate southern and Appalachian hot spots from prior literature and provide new insights into a notable Ohio hot spot along with vast western cold spots. Future work is needed to identify established and potentially novel factors that may be driving yoCRC mortality clustering patterns, such as obesity, diet, or physician access. Table 1. Poisson spatial scan results adjusted for median age, sex, race, and social deprivation Gini cluster Classification States in cluster Relative risk Log-likelihood ratio Monte Carlo p-value 1 Hot spot Alabama, Arkansas, Florida, Georgia, Louisiana, Mississippi, Tennessee, Texas 1.28 139.03 p&lt;0.0001 2 Hot spot Georgia, Kentucky, North Carolina, South Carolina, Tennessee, Virginia, West Virginia 1.18 63.31 p&lt;0.0001 3 Cold spot Arizona, California, Colorado, Idaho, Nevada, New Mexico, Utah, Wyoming 0.83 61.95 p&lt;0.0001 4 Hot spot Kentucky, Michigan, Ohio, Pennsylvania, West Virginia 1.16 40.14 p&lt;0.0001 5 Cold spot California, Oregon, Washington 0.86 39.10 p&lt;0.0001 6 Cold spot California 0.87 35.53 p&lt;0.0001 7 Cold spot Texas 0.86 29.91 p&lt;0.0001 8 Cold spot Colorado, Iowa, Kansas, Minnesota, Missouri, Montana, Nebraska, North Dakota, Wisconsin, Wyoming 0.90 19.56 p&lt;0.0001 Citation Format: R. Blake Buchalter, Alok A. Khorana, Shimoli Barot, David Liska, Stephanie L. Schmit. Hot and cold spots of young-onset colorectal cancer mortality in U.S. counties, 1999-2019 [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5907.
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Books on the topic "Idaho, census"

1

Bureau, U. S. Census, ed. Idaho, 2000. [Washington, D.C.]: U.S. Dept. of Commerce, Economics and Statistics Administration, U.S. Census Bureau, 2003.

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Upper Snake River Valley Family History Center. and David O. McKay Library, eds. 1910 Idaho census index. Bountiful, UT: Herigage Quest, 1998.

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Shane, Alfred E. School census, Kootenai County, Idaho. Coeur d'Alene, Idaho: A.E. & B.J. Shane, 1989.

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Society, Idaho Genealogical, ed. Idaho State federal census index, 1910. Boise (4620 Overland Rd., #204, Boise 73705-2867): The Society, 1991.

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United States. Bureau of the Census, ed. Idaho, 2000.: 2000 census of population and housing. [Washington, D.C.]: U.S. Dept. of Commerce, Economics and Statistics Administration, U.S. Census Bureau, 2003.

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United States. Bureau of the Census. 1990 census of population: General population characteristics : Idaho. Washington, DC: U.S. Department of Commerce, Economics and Statistics Administration, Bureau of the Census, 1992.

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United States. Bureau of the Census. 1990 census of housing: Detailed housing characteristics : Idaho. Washington, DC: U.S. Department of Commerce, Economics and Statistics Administration, Bureau of the Census, 1993.

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United States. Bureau of the Census. 1990 census of housing: General housing characteristics : Idaho. Washington, DC: U.S. Department of Commerce, Economics and Statistics Administration, Bureau of the Census, 1992.

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United States. Bureau of the Census. 1990 census of population: Social and economic characteristics : Idaho. Washington, DC: U.S. Department of Commerce, Economics and Statistics Administration, Bureau of the Census, 1993.

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Administration, United States National Archives and Records. [Index (soundex) to the population schedules of the twelfth census of the United States, 1900 Idaho]. Washington: National Archives and Records Service, 1990.

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