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 Lenoir County, NC Series ID: MHICILBNC37107A052NCEN 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 18406 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 21897 1994-01-01 . 1995-01-01 23375 1996-01-01 . 1997-01-01 24887 1998-01-01 25507 1999-01-01 27651 2000-01-01 29029 2001-01-01 28423 2002-01-01 28311 2003-01-01 29114 2004-01-01 30148 2005-01-01 29185 2006-01-01 31529 2007-01-01 30403 2008-01-01 30077 2009-01-01 31874 2010-01-01 33634 2011-01-01 30619 2012-01-01 33265 2013-01-01 31469 2014-01-01 32967 2015-01-01 33905 2016-01-01 36071 2017-01-01 36158 2018-01-01 37175 2019-01-01 36541 2020-01-01 36295 2021-01-01 39911 2022-01-01 41377