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 Limestone County, TX Series ID: MHICIUBTX48293A052NCEN 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 20299 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 24070 1994-01-01 . 1995-01-01 27079 1996-01-01 . 1997-01-01 28331 1998-01-01 28879 1999-01-01 29392 2000-01-01 31599 2001-01-01 30549 2002-01-01 30672 2003-01-01 32202 2004-01-01 32818 2005-01-01 35032 2006-01-01 38677 2007-01-01 38355 2008-01-01 42039 2009-01-01 37825 2010-01-01 40834 2011-01-01 40151 2012-01-01 39730 2013-01-01 39855 2014-01-01 40760 2015-01-01 43969 2016-01-01 43006 2017-01-01 45036 2018-01-01 46869 2019-01-01 47496 2020-01-01 58384 2021-01-01 54442 2022-01-01 56768