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 Lower Bound of Estimate of Median Household Income for Dickens County, TX Series ID: MHICILBTX48125A052NCEN 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 11822 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 14958 1994-01-01 . 1995-01-01 15727 1996-01-01 . 1997-01-01 18147 1998-01-01 19090 1999-01-01 22579 2000-01-01 23736 2001-01-01 22883 2002-01-01 22695 2003-01-01 23022 2004-01-01 23633 2005-01-01 24293 2006-01-01 25947 2007-01-01 26671 2008-01-01 27294 2009-01-01 27410 2010-01-01 29551 2011-01-01 29591 2012-01-01 29645 2013-01-01 32001 2014-01-01 32303 2015-01-01 36565 2016-01-01 34275 2017-01-01 34569 2018-01-01 35598 2019-01-01 37162 2020-01-01 35988 2021-01-01 37484 2022-01-01 41590