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 Harding County, NM Series ID: MHICIUBNM35021A052NCEN 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 19733 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 24590 1994-01-01 . 1995-01-01 26334 1996-01-01 . 1997-01-01 30408 1998-01-01 28593 1999-01-01 27251 2000-01-01 28366 2001-01-01 27468 2002-01-01 25874 2003-01-01 26301 2004-01-01 27422 2005-01-01 29588 2006-01-01 30388 2007-01-01 33195 2008-01-01 31627 2009-01-01 34246 2010-01-01 33950 2011-01-01 36309 2012-01-01 38607 2013-01-01 41275 2014-01-01 44703 2015-01-01 43621 2016-01-01 41076 2017-01-01 39404 2018-01-01 41665 2019-01-01 42858 2020-01-01 46231 2021-01-01 49600 2022-01-01 50931