NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Laramie County, WY Series ID: MHICIUBWY56021A052NCEN Source: U.S. Census Bureau Release: Small Area Income and Poverty Estimates Seasonal Adjustment: Not Seasonally Adjusted Frequency: Annual Units: Dollars Date Range: 1989-01-01 to 2022-01-01 Last Updated: 2023-12-14 1:09 PM CST Notes: The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (https://www.census.gov/programs-surveys/saipe/about.html) (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs. Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income. A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 1989-01-01 30071 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 34639 1994-01-01 . 1995-01-01 37051 1996-01-01 . 1997-01-01 39763 1998-01-01 42327 1999-01-01 42075 2000-01-01 44202 2001-01-01 43634 2002-01-01 45148 2003-01-01 46829 2004-01-01 48338 2005-01-01 48090 2006-01-01 52544 2007-01-01 55581 2008-01-01 58662 2009-01-01 53487 2010-01-01 53224 2011-01-01 57808 2012-01-01 57411 2013-01-01 62605 2014-01-01 61420 2015-01-01 64210 2016-01-01 65058 2017-01-01 65939 2018-01-01 67801 2019-01-01 73381 2020-01-01 73948 2021-01-01 67318 2022-01-01 75938