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 Nolan County, TX Series ID: MHICIUBTX48353A052NCEN 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 22394 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25272 1994-01-01 . 1995-01-01 27583 1996-01-01 . 1997-01-01 29449 1998-01-01 29994 1999-01-01 28374 2000-01-01 29649 2001-01-01 28980 2002-01-01 29046 2003-01-01 29656 2004-01-01 30708 2005-01-01 33323 2006-01-01 33058 2007-01-01 34877 2008-01-01 38758 2009-01-01 37392 2010-01-01 36510 2011-01-01 38327 2012-01-01 38214 2013-01-01 39221 2014-01-01 42665 2015-01-01 43968 2016-01-01 44923 2017-01-01 46708 2018-01-01 46978 2019-01-01 49813 2020-01-01 46053 2021-01-01 48923 2022-01-01 56444