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 Cameron County, TX Series ID: MHICIUBTX48061A052NCEN 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 1:09 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 18718 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 21535 1994-01-01 . 1995-01-01 24736 1996-01-01 . 1997-01-01 24563 1998-01-01 25820 1999-01-01 26333 2000-01-01 28573 2001-01-01 27217 2002-01-01 27412 2003-01-01 28065 2004-01-01 28467 2005-01-01 27453 2006-01-01 29015 2007-01-01 31081 2008-01-01 32399 2009-01-01 32186 2010-01-01 33099 2011-01-01 33329 2012-01-01 32317 2013-01-01 35445 2014-01-01 33643 2015-01-01 36207 2016-01-01 38373 2017-01-01 38873 2018-01-01 40096 2019-01-01 43233 2020-01-01 47278 2021-01-01 49566 2022-01-01 52701