Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hinds County, MS Series ID: MHICIUBMS28049A052NCEN 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 1:11 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 24150 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 29046 1994-01-01 . 1995-01-01 32360 1996-01-01 . 1997-01-01 34842 1998-01-01 35274 1999-01-01 34255 2000-01-01 36885 2001-01-01 35774 2002-01-01 35553 2003-01-01 36219 2004-01-01 36547 2005-01-01 37136 2006-01-01 37470 2007-01-01 40280 2008-01-01 41175 2009-01-01 39154 2010-01-01 38963 2011-01-01 37316 2012-01-01 36619 2013-01-01 36962 2014-01-01 40314 2015-01-01 41745 2016-01-01 45045 2017-01-01 46888 2018-01-01 46910 2019-01-01 47115 2020-01-01 49774 2021-01-01 45105 2022-01-01 51046