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 Columbus County, NC Series ID: MHICIUBNC37047A052NCEN 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 1:51 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 20696 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22728 1994-01-01 . 1995-01-01 27321 1996-01-01 . 1997-01-01 28776 1998-01-01 29268 1999-01-01 27914 2000-01-01 29604 2001-01-01 28594 2002-01-01 28611 2003-01-01 29541 2004-01-01 30532 2005-01-01 29551 2006-01-01 32982 2007-01-01 35707 2008-01-01 36351 2009-01-01 35710 2010-01-01 35285 2011-01-01 33865 2012-01-01 36195 2013-01-01 37371 2014-01-01 35851 2015-01-01 37636 2016-01-01 38279 2017-01-01 40602 2018-01-01 40449 2019-01-01 43964 2020-01-01 46164 2021-01-01 45574 2022-01-01 48730