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 Howard County, MD Series ID: MHICILBMD24027A052NCEN 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 1:54 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 51919 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 58167 1994-01-01 . 1995-01-01 61928 1996-01-01 . 1997-01-01 64794 1998-01-01 68910 1999-01-01 67948 2000-01-01 72077 2001-01-01 73099 2002-01-01 74469 2003-01-01 74793 2004-01-01 76050 2005-01-01 87196 2006-01-01 89814 2007-01-01 97371 2008-01-01 98861 2009-01-01 98491 2010-01-01 97513 2011-01-01 94888 2012-01-01 105585 2013-01-01 104422 2014-01-01 101405 2015-01-01 106491 2016-01-01 115071 2017-01-01 108905 2018-01-01 111825 2019-01-01 116776 2020-01-01 117351 2021-01-01 125254 2022-01-01 127078