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 Hockley County, TX Series ID: MHICIUBTX48219A052NCEN 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 1:51 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 26818 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 30822 1994-01-01 . 1995-01-01 32423 1996-01-01 . 1997-01-01 34354 1998-01-01 34165 1999-01-01 32549 2000-01-01 34550 2001-01-01 34059 2002-01-01 33787 2003-01-01 34806 2004-01-01 36042 2005-01-01 39511 2006-01-01 39882 2007-01-01 44827 2008-01-01 46085 2009-01-01 45135 2010-01-01 44081 2011-01-01 46414 2012-01-01 49794 2013-01-01 52421 2014-01-01 53213 2015-01-01 51992 2016-01-01 51579 2017-01-01 52021 2018-01-01 51221 2019-01-01 56403 2020-01-01 63113 2021-01-01 56485 2022-01-01 63188