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 Suffolk City, VA Series ID: MHICIUBVA51800A052NCEN 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 27275 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31422 1994-01-01 . 1995-01-01 35417 1996-01-01 . 1997-01-01 37690 1998-01-01 40131 1999-01-01 41741 2000-01-01 45263 2001-01-01 44595 2002-01-01 47030 2003-01-01 49500 2004-01-01 52328 2005-01-01 57410 2006-01-01 59521 2007-01-01 60833 2008-01-01 61459 2009-01-01 59893 2010-01-01 66709 2011-01-01 65092 2012-01-01 65427 2013-01-01 63376 2014-01-01 64718 2015-01-01 64483 2016-01-01 69290 2017-01-01 72632 2018-01-01 74392 2019-01-01 82232 2020-01-01 79070 2021-01-01 83148 2022-01-01 87285