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 Norfolk City, VA Series ID: MHICIUBVA51710A052NCEN 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 23473 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27653 1994-01-01 . 1995-01-01 28560 1996-01-01 . 1997-01-01 31365 1998-01-01 32674 1999-01-01 31222 2000-01-01 33261 2001-01-01 32578 2002-01-01 32821 2003-01-01 34086 2004-01-01 35942 2005-01-01 38146 2006-01-01 41026 2007-01-01 41968 2008-01-01 42078 2009-01-01 43574 2010-01-01 42878 2011-01-01 44148 2012-01-01 43484 2013-01-01 44909 2014-01-01 44521 2015-01-01 46830 2016-01-01 47440 2017-01-01 50248 2018-01-01 50795 2019-01-01 54298 2020-01-01 56399 2021-01-01 59567 2022-01-01 62390