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 Jones County, TX Series ID: MHICILBTX48253A052NCEN 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 1:53 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 16466 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 19387 1994-01-01 . 1995-01-01 20036 1996-01-01 . 1997-01-01 22178 1998-01-01 22349 1999-01-01 25696 2000-01-01 26771 2001-01-01 26354 2002-01-01 25694 2003-01-01 26712 2004-01-01 27815 2005-01-01 31127 2006-01-01 32563 2007-01-01 32332 2008-01-01 34270 2009-01-01 32696 2010-01-01 32318 2011-01-01 32245 2012-01-01 34954 2013-01-01 37230 2014-01-01 37192 2015-01-01 37948 2016-01-01 36757 2017-01-01 39896 2018-01-01 39640 2019-01-01 46806 2020-01-01 40397 2021-01-01 47937 2022-01-01 45673