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 Martin County, TX Series ID: MHICILBTX48317A052NCEN 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 19695 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 24135 1994-01-01 . 1995-01-01 22629 1996-01-01 . 1997-01-01 26112 1998-01-01 25601 1999-01-01 29022 2000-01-01 29604 2001-01-01 29824 2002-01-01 28653 2003-01-01 31571 2004-01-01 33510 2005-01-01 33595 2006-01-01 31770 2007-01-01 36806 2008-01-01 39115 2009-01-01 37380 2010-01-01 40614 2011-01-01 42011 2012-01-01 42656 2013-01-01 46440 2014-01-01 56382 2015-01-01 54442 2016-01-01 52620 2017-01-01 53339 2018-01-01 50754 2019-01-01 60358 2020-01-01 62753 2021-01-01 60756 2022-01-01 63935