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 Wyoming Series ID: MHICIUBWY56000A052NCEN 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 1:11 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 31079 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 30189 1994-01-01 . 1995-01-01 32199 1996-01-01 32998 1997-01-01 34831 1998-01-01 37617 1999-01-01 38828 2000-01-01 40770 2001-01-01 41514 2002-01-01 41553 2003-01-01 43100 2004-01-01 45323 2005-01-01 46653 2006-01-01 48947 2007-01-01 53543 2008-01-01 56410 2009-01-01 55814 2010-01-01 55074 2011-01-01 57492 2012-01-01 56354 2013-01-01 59902 2014-01-01 59881 2015-01-01 62658 2016-01-01 63490 2017-01-01 62798 2018-01-01 63549 2019-01-01 68043 2020-01-01 69370 2021-01-01 68939 2022-01-01 73704