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 Pender County, NC Series ID: MHICILBNC37141A052NCEN 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 19031 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 23747 1994-01-01 . 1995-01-01 27130 1996-01-01 . 1997-01-01 27624 1998-01-01 28552 1999-01-01 31328 2000-01-01 32974 2001-01-01 32352 2002-01-01 32351 2003-01-01 33436 2004-01-01 35095 2005-01-01 36162 2006-01-01 38054 2007-01-01 41690 2008-01-01 40578 2009-01-01 40058 2010-01-01 39997 2011-01-01 39941 2012-01-01 40256 2013-01-01 41328 2014-01-01 41279 2015-01-01 45322 2016-01-01 46579 2017-01-01 47196 2018-01-01 50918 2019-01-01 56152 2020-01-01 53436 2021-01-01 65044 2022-01-01 67600