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 Branch County, MI Series ID: MHICIUBMI26023A052NCEN 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 26778 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 30939 1994-01-01 . 1995-01-01 34446 1996-01-01 . 1997-01-01 36883 1998-01-01 38459 1999-01-01 39485 2000-01-01 42019 2001-01-01 40131 2002-01-01 40118 2003-01-01 40815 2004-01-01 41746 2005-01-01 44907 2006-01-01 42505 2007-01-01 45714 2008-01-01 46880 2009-01-01 43568 2010-01-01 40313 2011-01-01 42937 2012-01-01 46187 2013-01-01 46585 2014-01-01 49132 2015-01-01 50305 2016-01-01 51400 2017-01-01 52502 2018-01-01 53331 2019-01-01 55286 2020-01-01 55341 2021-01-01 63670 2022-01-01 69188