Overview
The mischooldata package provides access to Michigan K-12 enrollment data from the Center for Educational Performance and Information (CEPI). Data is available from 1996 to present for all public schools, districts, and the state.
Installation
# Install from GitHub
remotes::install_github("almartin82/mischooldata")Quick Start
Fetch a Single Year
library(mischooldata)
library(dplyr)
# Get 2024 enrollment data (2023-24 school year)
enr_2024 <- fetch_enr(2024, use_cache = TRUE)
# View state total
enr_2024 |>
filter(is_state, subgroup == "total_enrollment", grade_level == "TOTAL") |>
select(end_year, n_students)
#> end_year n_students
#> 1 2024 1373686Fetch Multiple Years
# Get 5 years of data
enr_multi <- fetch_enr_multi(2020:2024, use_cache = TRUE)
# Track statewide enrollment over time
enr_multi |>
filter(is_state, subgroup == "total_enrollment", grade_level == "TOTAL") |>
select(end_year, n_students) |>
arrange(end_year)
#> end_year n_students
#> 1 2020 1444313
#> 2 2021 1398455
#> 3 2022 1392700
#> 4 2023 1383889
#> 5 2024 1373686Check Available Years
# See what years are available
get_available_years()
#> $min_year
#> [1] 1996
#>
#> $max_year
#> [1] 2026
#>
#> $description
#> [1] "Michigan enrollment data is available from 1996 to 2026"Data Structure
The tidy format (default) has the following columns:
-
end_year: School year end (2024 = 2023-24) -
type: “State”, “District”, or “Building” -
district_id: 5-digit district code -
campus_id: 5-digit building code (NA for district/state rows) -
district_name: District name -
campus_name: Building name (NA for district/state rows) -
grade_level: “TOTAL”, “K”, “01”, “02”, …, “12” -
subgroup: Demographic or total (“total_enrollment”, “white”, “black”, etc.) -
n_students: Enrollment count -
pct: Percentage of total enrollment -
is_state: TRUE for state-level rows -
is_district: TRUE for district-level rows -
is_campus: TRUE for building-level rows
Common Queries
Find Largest Districts
enr_2024 |>
filter(is_district, subgroup == "total_enrollment", grade_level == "TOTAL") |>
arrange(desc(n_students)) |>
select(district_name, n_students) |>
head(10)
#> district_name n_students
#> 1 Detroit Public Schools Community District 47581
#> 2 Utica Community Schools 25303
#> 3 Dearborn City School District 19524
#> 4 Ann Arbor Public Schools 16918
#> 5 Plymouth-Canton Community Schools 16051
#> 6 Rochester Community School District 14711
#> 7 Chippewa Valley Schools 14375
#> 8 Grand Rapids Public Schools 13661
#> 9 Livonia Public Schools School District 12876
#> 10 Warren Consolidated Schools 12534Get Detroit Enrollment
# Detroit Public Schools Community District = 82015
enr_2024 |>
filter(district_id == "82015", grade_level == "TOTAL") |>
select(subgroup, n_students, pct) |>
arrange(desc(n_students))
#> subgroup n_students pct
#> 1 total_enrollment 47581 1.0000000000
#> 2 black 38386 0.8067505937
#> 3 male 23873 0.5017338854
#> 4 female 23708 0.4982661146
#> 5 hispanic 6953 0.1461297577
#> 6 total_enrollment 2485 1.0000000000
#> 7 total_enrollment 1931 1.0000000000
#> 8 black 1843 0.7416498994
#> 9 female 1564 0.6293762575
#> 10 hispanic 1454 0.7529777317
#> 11 total_enrollment 1171 1.0000000000
#> 12 white 1154 0.0242533784
#> 13 black 1147 0.9795046968
#> 14 male 1018 0.5271879855
#> 15 total_enrollment 933 1.0000000000
#> 16 male 921 0.3706237425
#> 17 female 913 0.4728120145
#> 18 total_enrollment 899 1.0000000000
#> 19 total_enrollment 879 1.0000000000
#> 20 total_enrollment 874 1.0000000000
#> 21 black 864 0.9829351536
#> 22 total_enrollment 852 1.0000000000
#> 23 black 847 0.9691075515
#> 24 total_enrollment 845 1.0000000000
#> 25 black 835 0.9800469484
#> 26 black 816 0.9656804734
#> 27 total_enrollment 813 1.0000000000
#> 28 total_enrollment 808 1.0000000000
#> 29 total_enrollment 807 1.0000000000
#> 30 black 804 0.9950495050
#> 31 black 792 0.9814126394
#> 32 hispanic 791 0.9729397294
#> 33 total_enrollment 790 1.0000000000
#> 34 total_enrollment 789 1.0000000000
#> 35 total_enrollment 788 1.0000000000
#> 36 total_enrollment 785 1.0000000000
#> 37 black 783 0.9974522293
#> 38 black 781 0.9898605830
#> 39 female 766 0.6541417592
#> 40 black 763 0.9682741117
#> 41 asian 719 0.0151110737
#> 42 hispanic 714 0.7652733119
#> 43 total_enrollment 693 1.0000000000
#> 44 total_enrollment 690 1.0000000000
#> 45 total_enrollment 689 1.0000000000
#> 46 total_enrollment 678 1.0000000000
#> 47 black 678 0.9826086957
#> 48 black 676 0.9811320755
#> 49 black 665 0.9808259587
#> 50 total_enrollment 636 1.0000000000
#> 51 total_enrollment 633 1.0000000000
#> 52 total_enrollment 633 1.0000000000
#> 53 total_enrollment 631 1.0000000000
#> 54 black 624 0.9811320755
#> 55 black 623 0.9842022117
#> 56 black 620 0.9794628752
#> 57 black 619 0.9809825674
#> 58 total_enrollment 605 1.0000000000
#> 59 black 598 0.9884297521
#> 60 total_enrollment 569 1.0000000000
#> 61 black 565 0.9929701230
#> 62 total_enrollment 562 1.0000000000
#> 63 total_enrollment 556 1.0000000000
#> 64 black 553 0.9839857651
#> 65 hispanic 543 0.6040044494
#> 66 black 542 0.9748201439
#> 67 total_enrollment 534 1.0000000000
#> 68 black 522 0.9775280899
#> 69 total_enrollment 520 1.0000000000
#> 70 total_enrollment 520 1.0000000000
#> 71 total_enrollment 514 1.0000000000
#> 72 black 513 0.9980544747
#> 73 total_enrollment 512 1.0000000000
#> 74 black 504 0.9843750000
#> 75 male 499 0.5550611791
#> 76 black 498 0.9576923077
#> 77 total_enrollment 496 1.0000000000
#> 78 total_enrollment 496 1.0000000000
#> 79 black 494 0.9500000000
#> 80 male 484 0.5506257110
#> 81 black 481 0.9697580645
#> 82 total_enrollment 477 1.0000000000
#> 83 total_enrollment 476 1.0000000000
#> 84 total_enrollment 476 1.0000000000
#> 85 total_enrollment 472 1.0000000000
#> 86 total_enrollment 470 1.0000000000
#> 87 male 470 0.5037513398
#> 88 black 469 0.9852941176
#> 89 hispanic 464 0.9354838710
#> 90 female 463 0.4962486602
#> 91 total_enrollment 462 1.0000000000
#> 92 total_enrollment 456 1.0000000000
#> 93 total_enrollment 455 1.0000000000
#> 94 black 454 0.9826839827
#> 95 male 454 0.5328638498
#> 96 black 453 0.9956043956
#> 97 male 452 0.5171624714
#> 98 black 446 0.9489361702
#> 99 black 444 0.9736842105
#> 100 total_enrollment 439 1.0000000000
#> 101 total_enrollment 438 1.0000000000
#> 102 female 437 0.5171597633
#> 103 female 435 0.5383663366
#> 104 male 434 0.5507614213
#> 105 black 431 0.9817767654
#> 106 black 430 0.9817351598
#> 107 male 430 0.5443037975
#> 108 total_enrollment 427 1.0000000000
#> 109 total_enrollment 427 1.0000000000
#> 110 female 425 0.5414012739
#> 111 black 422 0.9882903981
#> 112 female 422 0.4828375286
#> 113 total_enrollment 421 1.0000000000
#> 114 total_enrollment 420 1.0000000000
#> 115 male 419 0.5310519645
#> 116 male 417 0.5167286245
#> 117 hispanic 414 0.8679245283
#> 118 male 412 0.5067650677
#> 119 black 411 0.9785714286
#> 120 black 410 0.5189873418
#> 121 total_enrollment 409 1.0000000000
#> 122 male 408 0.4828402367
#> 123 male 405 0.3458582408
#> 124 black 402 0.9828850856
#> 125 female 401 0.4932349323
#> 126 black 400 0.8474576271
#> 127 female 400 0.4449388209
#> 128 female 398 0.4671361502
#> 129 female 395 0.4493742890
#> 130 total_enrollment 394 1.0000000000
#> 131 total_enrollment 392 1.0000000000
#> 132 total_enrollment 392 1.0000000000
#> 133 total_enrollment 391 1.0000000000
#> 134 female 390 0.4832713755
#> 135 black 388 0.9897959184
#> 136 black 388 0.9847715736
#> 137 black 383 0.9770408163
#> 138 male 381 0.5619469027
#> 139 total_enrollment 379 1.0000000000
#> 140 hispanic 379 0.7962184874
#> 141 total_enrollment 378 1.0000000000
#> 142 black 378 0.9667519182
#> 143 hispanic 378 0.8978622328
#> 144 total_enrollment 377 1.0000000000
#> 145 total_enrollment 377 1.0000000000
#> 146 total_enrollment 376 1.0000000000
#> 147 total_enrollment 376 1.0000000000
#> 148 female 376 0.5457184325
#> 149 black 374 0.9920424403
#> 150 black 373 0.9867724868
#> 151 male 373 0.4616336634
#> 152 total_enrollment 371 1.0000000000
#> 153 black 371 0.9788918206
#> 154 total_enrollment 370 1.0000000000
#> 155 female 370 0.4689480355
#> 156 total_enrollment 369 1.0000000000
#> 157 black 369 0.9946091644
#> 158 male 368 0.5310245310
#> 159 black 363 0.9837398374
#> 160 black 363 0.9810810811
#> 161 black 360 0.9549071618
#> 162 male 360 0.4585987261
#> 163 female 360 0.4556962025
#> 164 black 358 0.9521276596
#> 165 total_enrollment 357 1.0000000000
#> 166 female 354 0.4492385787
#> 167 total_enrollment 352 1.0000000000
#> 168 hispanic 351 0.8220140515
#> 169 male 351 0.5086956522
#> 170 total_enrollment 350 1.0000000000
#> 171 black 347 0.9857954545
#> 172 total_enrollment 343 1.0000000000
#> 173 black 343 0.9800000000
#> 174 black 343 0.1776281719
#> 175 asian 341 0.4316455696
#> 176 black 340 0.9523809524
#> 177 female 339 0.4913043478
#> 178 female 334 0.7106382979
#> 179 total_enrollment 333 1.0000000000
#> 180 black 333 0.9708454810
#> 181 hispanic 333 0.1340040241
#> 182 male 333 0.5235849057
#> 183 total_enrollment 330 1.0000000000
#> 184 black 327 0.9909090909
#> 185 black 325 0.9759759760
#> 186 black 325 0.8643617021
#> 187 male 325 0.5134281201
#> 188 female 325 0.4689754690
#> 189 female 322 0.5103011094
#> 190 total_enrollment 321 1.0000000000
#> 191 male 321 0.5641476274
#> 192 hispanic 318 0.4588744589
#> 193 male 317 0.5007898894
#> 194 total_enrollment 316 1.0000000000
#> 195 female 316 0.4992101106
#> 196 black 315 0.9813084112
#> 197 male 313 0.4542815675
#> 198 female 313 0.5173553719
#> 199 male 309 0.4896988906
#> 200 female 308 0.4865718799
#> 201 female 306 0.5730337079
#> 202 total_enrollment 305 1.0000000000
#> 203 total_enrollment 303 1.0000000000
#> 204 female 303 0.4764150943
#> 205 black 302 0.9966996700
#> 206 male 302 0.5807692308
#> 207 total_enrollment 301 1.0000000000
#> 208 male 300 0.5769230769
#> 209 male 299 0.5377697842
#> 210 black 298 0.9770491803
#> 211 female 297 0.4380530973
#> 212 black 295 0.9800664452
#> 213 total_enrollment 294 1.0000000000
#> 214 male 292 0.4826446281
#> 215 total_enrollment 291 1.0000000000
#> 216 black 291 0.9208860759
#> 217 multiracial 289 0.0060738530
#> 218 total_enrollment 283 1.0000000000
#> 219 black 283 0.9725085911
#> 220 male 282 0.5017793594
#> 221 female 280 0.4982206406
#> 222 total_enrollment 277 1.0000000000
#> 223 black 277 0.3081201335
#> 224 total_enrollment 276 1.0000000000
#> 225 total_enrollment 274 1.0000000000
#> 226 black 273 0.9963503650
#> 227 black 273 0.9646643110
#> 228 male 267 0.5656779661
#> 229 male 267 0.5383064516
#> 230 black 265 0.9601449275
#> 231 male 263 0.5116731518
#> 232 male 262 0.5117187500
#> 233 female 257 0.4622302158
#> 234 male 255 0.5357142857
#> 235 male 254 0.6047619048
#> 236 female 254 0.5120967742
#> 237 total_enrollment 253 1.0000000000
#> 238 male 253 0.5303983229
#> 239 black 252 0.8571428571
#> 240 female 251 0.4883268482
#> 241 female 250 0.4882812500
#> 242 total_enrollment 248 1.0000000000
#> 243 total_enrollment 248 1.0000000000
#> 244 female 248 0.4358523726
#> 245 female 246 0.5168067227
#> 246 male 242 0.5512528474
#> 247 male 242 0.5307017544
#> 248 male 242 0.4879032258
#> 249 male 242 0.5238095238
#> 250 black 241 0.9717741935
#> 251 black 239 0.9637096774
#> 252 male 239 0.6065989848
#> 253 asian 238 0.0957746479
#> 254 male 236 0.5186813187
#> 255 total_enrollment 235 1.0000000000
#> 256 female 235 1.0000000000
#> 257 male 231 0.5409836066
#> 258 male 230 0.4831932773
#> 259 female 229 0.4616935484
#> 260 female 229 0.5439429929
#> 261 male 228 0.6031746032
#> 262 male 228 0.4269662921
#> 263 female 224 0.4696016771
#> 264 male 222 0.5068493151
#> 265 female 221 0.4642857143
#> 266 female 221 0.5175644028
#> 267 female 220 0.4230769231
#> 268 female 220 0.4761904762
#> 269 female 219 0.4813186813
#> 270 total_enrollment 218 1.0000000000
#> 271 female 218 0.4192307692
#> 272 female 216 0.4931506849
#> 273 total_enrollment 215 1.0000000000
#> 274 female 214 0.4692982456
#> 275 hispanic 210 0.7581227437
#> 276 male 209 0.5331632653
#> 277 male 206 0.5478723404
#> 278 male 206 0.4824355972
#> 279 male 205 0.5012224939
#> 280 female 205 0.4343220339
#> 281 white 204 0.2943722944
#> 282 female 204 0.4987775061
#> 283 female 203 0.5398936170
#> 284 male 202 0.5166240409
#> 285 male 202 0.5153061224
#> 286 total_enrollment 200 1.0000000000
#> 287 male 200 0.5390835580
#> 288 female 197 0.4487471526
#> 289 female 196 0.4590163934
#> 290 female 195 0.5145118734
#> 291 male 193 0.5216216216
#> 292 total_enrollment 192 1.0000000000
#> 293 male 192 0.5092838196
#> 294 male 192 0.4560570071
#> 295 male 191 0.5066312997
#> 296 female 191 0.5176151762
#> 297 female 190 0.4846938776
#> 298 female 189 0.4833759591
#> 299 black 188 0.9791666667
#> 300 female 186 0.4933687003
#> 301 male 185 0.5182072829
#> 302 female 185 0.4907161804
#> 303 black 184 0.9200000000
#> 304 male 184 0.4854881266
#> 305 total_enrollment 183 1.0000000000
#> 306 female 183 0.4668367347
#> 307 black 181 0.9890710383
#> 308 male 180 0.5405405405
#> 309 male 178 0.4823848238
#> 310 male 178 0.5632911392
#> 311 male 177 0.5028409091
#> 312 female 177 0.5160349854
#> 313 female 177 0.4783783784
#> 314 male 176 0.5028571429
#> 315 female 175 0.4971590909
#> 316 hispanic 174 0.7981651376
#> 317 female 174 0.4971428571
#> 318 male 173 0.4601063830
#> 319 female 172 0.4817927171
#> 320 female 172 0.5676567657
#> 321 male 171 0.5876288660
#> 322 female 171 0.4609164420
#> 323 female 170 0.4521276596
#> 324 female 170 0.5151515152
#> 325 male 166 0.4839650146
#> 326 female 166 0.3952380952
#> 327 male 165 0.5140186916
#> 328 black 162 0.2337662338
#> 329 male 160 0.4848484848
#> 330 black 157 0.1682743837
#> 331 black 156 0.7255813953
#> 332 male 156 0.5512367491
#> 333 female 156 0.4859813084
#> 334 male 155 0.5149501661
#> 335 female 155 0.3934010152
#> 336 female 153 0.4594594595
#> 337 female 153 0.5016393443
#> 338 total_enrollment 152 1.0000000000
#> 339 male 152 0.4983606557
#> 340 female 152 0.5170068027
#> 341 female 150 0.3968253968
#> 342 black 148 0.5849802372
#> 343 female 146 0.4850498339
#> 344 male 142 0.4829931973
#> 345 female 141 0.5145985401
#> 346 female 141 0.5090252708
#> 347 male 138 0.5000000000
#> 348 female 138 0.5000000000
#> 349 female 138 0.4367088608
#> 350 male 136 0.4909747292
#> 351 male 136 0.5483870968
#> 352 male 136 0.2893617021
#> 353 male 133 0.4854014599
#> 354 male 132 0.5217391304
#> 355 male 131 0.4323432343
#> 356 total_enrollment 130 1.0000000000
#> 357 male 129 0.5201612903
#> 358 white 128 0.0662868980
#> 359 female 127 0.4487632509
#> 360 total_enrollment 126 1.0000000000
#> 361 black 126 0.8289473684
#> 362 black 124 0.9538461538
#> 363 female 121 0.4782608696
#> 364 female 120 0.4123711340
#> 365 female 119 0.4798387097
#> 366 total_enrollment 117 1.0000000000
#> 367 black 115 0.9829059829
#> 368 male 114 0.5229357798
#> 369 male 112 0.5209302326
#> 370 female 112 0.4516129032
#> 371 black 107 0.4553191489
#> 372 female 105 0.5468750000
#> 373 female 105 0.5250000000
#> 374 female 104 0.4770642202
#> 375 total_enrollment 103 1.0000000000
#> 376 female 103 0.4790697674
#> 377 total_enrollment 102 1.0000000000
#> 378 black 101 0.9805825243
#> 379 female 101 0.6644736842
#> 380 black 100 0.7936507937
#> 381 black 99 0.9705882353
#> 382 male 95 0.4750000000
#> 383 female 94 0.5136612022
#> 384 total_enrollment 90 1.0000000000
#> 385 male 89 0.4863387978
#> 386 male 87 0.4531250000
#> 387 total_enrollment 80 1.0000000000
#> 388 male 80 1.0000000000
#> 389 white 78 0.3083003953
#> 390 black 78 0.9750000000
#> 391 white 75 0.0834260289
#> 392 male 75 0.5952380952
#> 393 white 70 0.2978723404
#> 394 black 68 0.7555555556
#> 395 female 68 0.5230769231
#> 396 male 65 0.5555555556
#> 397 male 64 0.6213592233
#> 398 male 62 0.4769230769
#> 399 total_enrollment 61 1.0000000000
#> 400 white 57 0.0610932476
#> 401 native_american 57 0.0011979572
#> 402 asian 54 0.2297872340
#> 403 female 52 0.5098039216
#> 404 female 52 0.4444444444
#> 405 male 51 0.3355263158
#> 406 female 51 0.4047619048
#> 407 male 50 0.4901960784
#> 408 black 49 0.1029411765
#> 409 male 49 0.5444444444
#> 410 white 47 0.0189134809
#> 411 black 47 0.7704918033
#> 412 white 46 0.2139534884
#> 413 black 46 0.1077283372
#> 414 white 44 0.0924369748
#> 415 black 43 0.1552346570
#> 416 female 41 0.4555555556
#> 417 female 39 0.3786407767
#> 418 white 37 0.0984042553
#> 419 hispanic 35 0.0741525424
#> 420 white 33 0.0691823899
#> 421 female 32 0.5245901639
#> 422 white 29 0.0614406780
#> 423 black 29 0.1330275229
#> 424 male 29 0.4754098361
#> 425 total_enrollment 28 1.0000000000
#> 426 black 27 0.9642857143
#> 427 hispanic 27 0.0918367347
#> 428 hispanic 25 0.0988142292
#> 429 hispanic 25 0.0791139241
#> 430 white 23 0.0538641686
#> 431 pacific_islander 23 0.0004833862
#> 432 male 23 0.8214285714
#> 433 multiracial 22 0.0260355030
#> 434 black 21 0.0440251572
#> 435 black 20 0.0475059382
#> 436 white 19 0.0451306413
#> 437 multiracial 19 0.0076458753
#> 438 hispanic 18 0.0346153846
#> 439 white 17 0.0613718412
#> 440 white 16 0.0322580645
#> 441 asian 16 0.1052631579
#> 442 multiracial 16 0.0202531646
#> 443 white 14 0.0642201835
#> 444 black 14 0.0282258065
#> 445 hispanic 14 0.1111111111
#> 446 hispanic 13 0.0147895336
#> 447 white 12 0.0151898734
#> 448 hispanic 12 0.0241935484
#> 449 multiracial 12 0.0102476516
#> 450 total_enrollment 11 1.0000000000
#> 451 hispanic 11 0.1222222222
#> 452 multiracial 11 0.0374149660
#> 453 white 10 0.0192307692
#> 454 white 10 0.1111111111
#> 455 black 10 0.0123001230
#> 456 hispanic 10 0.0114416476
#> 457 white 9 0.0110701107
#> 458 black 9 0.8181818182
#> 459 hispanic 9 0.0113924051
#> 460 hispanic 9 0.0130624093
#> 461 multiracial 9 0.0239361702
#> 462 male 9 0.8181818182
#> 463 white 8 0.0149812734
#> 464 white 8 0.0170212766
#> 465 white 8 0.0634920635
#> 466 hispanic 8 0.0143884892
#> 467 hispanic 8 0.0093896714
#> 468 hispanic 8 0.0400000000
#> 469 hispanic 8 0.0170212766
#> 470 multiracial 8 0.0167714885
#> 471 multiracial 8 0.0224089636
#> 472 multiracial 8 0.0212765957
#> 473 multiracial 8 0.0091533181
#> 474 multiracial 8 0.0101522843
#> 475 white 7 0.0350000000
#> 476 white 7 0.0184696570
#> 477 white 7 0.1147540984
#> 478 hispanic 7 0.0179028133
#> 479 hispanic 7 0.0134615385
#> 480 hispanic 7 0.0325581395
#> 481 hispanic 7 0.0088832487
#> 482 multiracial 7 0.0101449275
#> 483 multiracial 7 0.0163934426
#> 484 white 6 0.0394736842
#> 485 white 6 0.0068649886
#> 486 hispanic 6 0.0153061224
#> 487 hispanic 6 0.0180180180
#> 488 hispanic 6 0.0142857143
#> 489 hispanic 6 0.0074349442
#> 490 hispanic 6 0.0241935484
#> 491 hispanic 6 0.0162162162
#> 492 hispanic 6 0.0051238258
#> 493 asian 6 0.0076142132
#> 494 multiracial 6 0.0196721311
#> 495 multiracial 6 0.0074349442
#> 496 multiracial 6 0.0070422535
#> 497 multiracial 6 0.0127659574
#> 498 white 5 0.0089928058
#> 499 white 5 0.0096153846
#> 500 white 5 0.0176678445
#> 501 white 5 0.0078616352
#> 502 white 5 0.0132978723
#> 503 white 5 0.0063371356
#> 504 hispanic 5 0.0105042017
#> 505 hispanic 5 0.0078988942
#> 506 hispanic 5 0.0181159420
#> 507 hispanic 5 0.0073746313
#> 508 hispanic 5 0.0135501355
#> 509 hispanic 5 0.0059171598
#> 510 hispanic 5 0.0171821306
#> 511 hispanic 5 0.0078988942
#> 512 asian 5 0.0072150072
#> 513 asian 5 0.0132625995
#> 514 asian 5 0.0819672131
#> 515 multiracial 5 0.0096153846
#> 516 multiracial 5 0.0145772595
#> 517 multiracial 5 0.0180505415
#> 518 female 5 0.1785714286
#> 519 white 4 0.0113636364
#> 520 white 4 0.0063191153
#> 521 white 4 0.0058997050
#> 522 white 4 0.0136054422
#> 523 white 4 0.0091324201
#> 524 white 4 0.0106100796
#> 525 white 4 0.0034158839
#> 526 hispanic 4 0.0078125000
#> 527 hispanic 4 0.0066115702
#> 528 hispanic 4 0.0087719298
#> 529 hispanic 4 0.0063391442
#> 530 hispanic 4 0.0208333333
#> 531 hispanic 4 0.0071174377
#> 532 hispanic 4 0.0086580087
#> 533 asian 4 0.0063191153
#> 534 asian 4 0.0097799511
#> 535 native_american 4 0.0016096579
#> 536 multiracial 4 0.0084033613
#> 537 multiracial 4 0.0084745763
#> 538 multiracial 4 0.0307692308
#> 539 multiracial 4 0.0042872454
#> 540 multiracial 4 0.0044493882
#> 541 multiracial 4 0.0063391442
#> 542 multiracial 4 0.0062893082
#> 543 multiracial 4 0.0186046512
#> 544 multiracial 4 0.0071174377
#> 545 multiracial 4 0.0086580087
#> 546 multiracial 4 0.0063191153
#> 547 white 3 0.0068337130
#> 548 white 3 0.0294117647
#> 549 white 3 0.0084033613
#> 550 white 3 0.0037174721
#> 551 white 3 0.0085714286
#> 552 white 3 0.0047543582
#> 553 white 3 0.0038071066
#> 554 white 3 0.0043541364
#> 555 hispanic 3 0.0084033613
#> 556 hispanic 3 0.0197368421
#> 557 hispanic 3 0.0106007067
#> 558 hispanic 3 0.0079365079
#> 559 hispanic 3 0.0079575597
#> 560 hispanic 3 0.0120967742
#> 561 hispanic 3 0.0076142132
#> 562 hispanic 3 0.0093457944
#> 563 asian 3 0.0076726343
#> 564 asian 3 0.0085714286
#> 565 asian 3 0.0015535992
#> 566 asian 3 0.0238095238
#> 567 native_american 3 0.0084033613
#> 568 native_american 3 0.0071258907
#> 569 pacific_islander 3 0.0099667774
#> 570 multiracial 3 0.0127659574
#> 571 multiracial 3 0.0037128713
#> 572 multiracial 3 0.0108695652
#> 573 multiracial 3 0.0065789474
#> 574 multiracial 3 0.0043290043
#> 575 multiracial 3 0.0079575597
#> 576 multiracial 3 0.0120967742
#> 577 white 2 0.0051150895
#> 578 white 2 0.0047619048
#> 579 white 2 0.0072463768
#> 580 white 2 0.0035149385
#> 581 white 2 0.0028985507
#> 582 white 2 0.0033057851
#> 583 white 2 0.1818181818
#> 584 white 2 0.0040322581
#> 585 white 2 0.0109289617
#> 586 hispanic 2 0.0058309038
#> 587 hispanic 2 0.0053050398
#> 588 hispanic 2 0.0053191489
#> 589 hispanic 2 0.0170940171
#> 590 hispanic 2 0.0046838407
#> 591 hispanic 2 0.0031446541
#> 592 hispanic 2 0.0053191489
#> 593 hispanic 2 0.0250000000
#> 594 asian 2 0.0045558087
#> 595 asian 2 0.0042372881
#> 596 asian 2 0.0039062500
#> 597 asian 2 0.0028985507
#> 598 asian 2 0.0053191489
#> 599 asian 2 0.0043859649
#> 600 asian 2 0.0093023256
#> 601 native_american 2 0.0038461538
#> 602 native_american 2 0.0025316456
#> 603 native_american 2 0.0053191489
#> 604 native_american 2 0.0023668639
#> 605 native_american 2 0.0070671378
#> 606 native_american 2 0.0053191489
#> 607 native_american 2 0.0022883295
#> 608 native_american 2 0.0051020408
#> 609 multiracial 2 0.0022753129
#> 610 multiracial 2 0.0029498525
#> 611 multiracial 2 0.0068728522
#> 612 multiracial 2 0.0024600246
#> 613 multiracial 2 0.0037453184
#> 614 multiracial 2 0.0010357328
#> 615 multiracial 2 0.0050761421
#> 616 multiracial 2 0.0327868852
#> 617 multiracial 2 0.0025348542
#> 618 multiracial 2 0.0062305296
#> 619 female 2 0.1818181818
#> 620 white 1 0.0021008403
#> 621 white 1 0.0076923077
#> 622 white 1 0.0030030030
#> 623 white 1 0.0032786885
#> 624 white 1 0.0040322581
#> 625 white 1 0.0027100271
#> 626 white 1 0.0027027027
#> 627 white 1 0.0021929825
#> 628 white 1 0.0011737089
#> 629 white 1 0.0034364261
#> 630 white 1 0.0030303030
#> 631 white 1 0.0026455026
#> 632 white 1 0.0357142857
#> 633 white 1 0.0040322581
#> 634 white 1 0.0024449878
#> 635 white 1 0.0025380711
#> 636 white 1 0.0015797788
#> 637 white 1 0.0021978022
#> 638 white 1 0.0031152648
#> 639 hispanic 1 0.0022779043
#> 640 hispanic 1 0.0028409091
#> 641 hispanic 1 0.0076923077
#> 642 hispanic 1 0.0017574692
#> 643 hispanic 1 0.0022831050
#> 644 hispanic 1 0.0030303030
#> 645 hispanic 1 0.0018726592
#> 646 hispanic 1 0.0033222591
#> 647 hispanic 1 0.0019455253
#> 648 hispanic 1 0.0026385224
#> 649 hispanic 1 0.0025510204
#> 650 hispanic 1 0.0021978022
#> 651 asian 1 0.0097087379
#> 652 asian 1 0.0029154519
#> 653 asian 1 0.0020964361
#> 654 asian 1 0.0025510204
#> 655 asian 1 0.0019230769
#> 656 asian 1 0.0014749263
#> 657 asian 1 0.0040322581
#> 658 asian 1 0.0036101083
#> 659 asian 1 0.0026455026
#> 660 asian 1 0.0015723270
#> 661 asian 1 0.0050000000
#> 662 asian 1 0.0011441648
#> 663 asian 1 0.0033222591
#> 664 asian 1 0.0025510204
#> 665 asian 1 0.0012674271
#> 666 native_american 1 0.0022779043
#> 667 native_american 1 0.0042553191
#> 668 native_american 1 0.0029154519
#> 669 native_american 1 0.0021008403
#> 670 native_american 1 0.0021186441
#> 671 native_american 1 0.0025510204
#> 672 native_american 1 0.0012376238
#> 673 native_american 1 0.0014749263
#> 674 native_american 1 0.0039525692
#> 675 native_american 1 0.0040322581
#> 676 native_american 1 0.0014492754
#> 677 native_american 1 0.0028571429
#> 678 native_american 1 0.0022831050
#> 679 native_american 1 0.0021929825
#> 680 native_american 1 0.0036101083
#> 681 native_american 1 0.0011737089
#> 682 native_american 1 0.0023419204
#> 683 native_american 1 0.0012738854
#> 684 native_american 1 0.0030303030
#> 685 native_american 1 0.0026525199
#> 686 native_american 1 0.0012300123
#> 687 native_american 1 0.0018726592
#> 688 native_american 1 0.0020161290
#> 689 native_american 1 0.0026954178
#> 690 native_american 1 0.0017793594
#> 691 native_american 1 0.0033222591
#> 692 native_american 1 0.0005178664
#> 693 native_american 1 0.0008539710
#> 694 native_american 1 0.0033003300
#> 695 native_american 1 0.0021276596
#> 696 native_american 1 0.0111111111
#> 697 pacific_islander 1 0.0097087379
#> 698 pacific_islander 1 0.0029154519
#> 699 pacific_islander 1 0.0021186441
#> 700 pacific_islander 1 0.0004024145
#> 701 pacific_islander 1 0.0010718114
#> 702 pacific_islander 1 0.0019531250
#> 703 pacific_islander 1 0.0023809524
#> 704 pacific_islander 1 0.0036231884
#> 705 pacific_islander 1 0.0022831050
#> 706 pacific_islander 1 0.0021929825
#> 707 pacific_islander 1 0.0011737089
#> 708 pacific_islander 1 0.0023419204
#> 709 pacific_islander 1 0.0014430014
#> 710 pacific_islander 1 0.0026525199
#> 711 pacific_islander 1 0.0015847861
#> 712 pacific_islander 1 0.0012690355
#> 713 pacific_islander 1 0.0008539710
#> 714 pacific_islander 1 0.0024449878
#> 715 pacific_islander 1 0.0021276596
#> 716 pacific_islander 1 0.0079365079
#> 717 multiracial 1 0.0017985612
#> 718 multiracial 1 0.0025575448
#> 719 multiracial 1 0.0022779043
#> 720 multiracial 1 0.0026525199
#> 721 multiracial 1 0.0036496350
#> 722 multiracial 1 0.0025510204
#> 723 multiracial 1 0.0030030030
#> 724 multiracial 1 0.0065789474
#> 725 multiracial 1 0.0019531250
#> 726 multiracial 1 0.0017574692
#> 727 multiracial 1 0.0039525692
#> 728 multiracial 1 0.0045871560
#> 729 multiracial 1 0.0016528926
#> 730 multiracial 1 0.0022831050
#> 731 multiracial 1 0.0023419204
#> 732 multiracial 1 0.0012738854
#> 733 multiracial 1 0.0020161290
#> 734 multiracial 1 0.0026954178
#> 735 multiracial 1 0.0020161290
#> 736 multiracial 1 0.0014513788
#> 737 multiracial 1 0.0023752969
#> 738 multiracial 1 0.0024449878
#> 739 white 0 0.0000000000
#> 740 white 0 0.0000000000
#> 741 white 0 0.0000000000
#> 742 white 0 0.0000000000
#> 743 white 0 0.0000000000
#> 744 white 0 0.0000000000
#> 745 white 0 0.0000000000
#> 746 white 0 0.0000000000
#> 747 white 0 0.0000000000
#> 748 white 0 0.0000000000
#> 749 white 0 0.0000000000
#> 750 white 0 0.0000000000
#> 751 white 0 0.0000000000
#> 752 white 0 0.0000000000
#> 753 white 0 0.0000000000
#> 754 white 0 0.0000000000
#> 755 white 0 0.0000000000
#> 756 white 0 0.0000000000
#> 757 white 0 0.0000000000
#> 758 white 0 0.0000000000
#> 759 white 0 0.0000000000
#> 760 white 0 0.0000000000
#> 761 hispanic 0 0.0000000000
#> 762 hispanic 0 0.0000000000
#> 763 hispanic 0 0.0000000000
#> 764 hispanic 0 0.0000000000
#> 765 hispanic 0 0.0000000000
#> 766 hispanic 0 0.0000000000
#> 767 hispanic 0 0.0000000000
#> 768 hispanic 0 0.0000000000
#> 769 hispanic 0 0.0000000000
#> 770 hispanic 0 0.0000000000
#> 771 hispanic 0 0.0000000000
#> 772 hispanic 0 0.0000000000
#> 773 hispanic 0 0.0000000000
#> 774 hispanic 0 0.0000000000
#> 775 hispanic 0 0.0000000000
#> 776 hispanic 0 0.0000000000
#> 777 hispanic 0 0.0000000000
#> 778 asian 0 0.0000000000
#> 779 asian 0 0.0000000000
#> 780 asian 0 0.0000000000
#> 781 asian 0 0.0000000000
#> 782 asian 0 0.0000000000
#> 783 asian 0 0.0000000000
#> 784 asian 0 0.0000000000
#> 785 asian 0 0.0000000000
#> 786 asian 0 0.0000000000
#> 787 asian 0 0.0000000000
#> 788 asian 0 0.0000000000
#> 789 asian 0 0.0000000000
#> 790 asian 0 0.0000000000
#> 791 asian 0 0.0000000000
#> 792 asian 0 0.0000000000
#> 793 asian 0 0.0000000000
#> 794 asian 0 0.0000000000
#> 795 asian 0 0.0000000000
#> 796 asian 0 0.0000000000
#> 797 asian 0 0.0000000000
#> 798 asian 0 0.0000000000
#> 799 asian 0 0.0000000000
#> 800 asian 0 0.0000000000
#> 801 asian 0 0.0000000000
#> 802 asian 0 0.0000000000
#> 803 asian 0 0.0000000000
#> 804 asian 0 0.0000000000
#> 805 asian 0 0.0000000000
#> 806 asian 0 0.0000000000
#> 807 asian 0 0.0000000000
#> 808 asian 0 0.0000000000
#> 809 asian 0 0.0000000000
#> 810 asian 0 0.0000000000
#> 811 asian 0 0.0000000000
#> 812 asian 0 0.0000000000
#> 813 asian 0 0.0000000000
#> 814 asian 0 0.0000000000
#> 815 asian 0 0.0000000000
#> 816 asian 0 0.0000000000
#> 817 asian 0 0.0000000000
#> 818 asian 0 0.0000000000
#> 819 asian 0 0.0000000000
#> 820 asian 0 0.0000000000
#> 821 asian 0 0.0000000000
#> 822 asian 0 0.0000000000
#> 823 asian 0 0.0000000000
#> 824 asian 0 0.0000000000
#> 825 asian 0 0.0000000000
#> 826 asian 0 0.0000000000
#> 827 asian 0 0.0000000000
#> 828 asian 0 0.0000000000
#> 829 asian 0 0.0000000000
#> 830 asian 0 0.0000000000
#> 831 asian 0 0.0000000000
#> 832 asian 0 0.0000000000
#> 833 asian 0 0.0000000000
#> 834 asian 0 0.0000000000
#> 835 asian 0 0.0000000000
#> 836 asian 0 0.0000000000
#> 837 asian 0 0.0000000000
#> 838 asian 0 0.0000000000
#> 839 asian 0 0.0000000000
#> 840 asian 0 0.0000000000
#> 841 asian 0 0.0000000000
#> 842 native_american 0 0.0000000000
#> 843 native_american 0 0.0000000000
#> 844 native_american 0 0.0000000000
#> 845 native_american 0 0.0000000000
#> 846 native_american 0 0.0000000000
#> 847 native_american 0 0.0000000000
#> 848 native_american 0 0.0000000000
#> 849 native_american 0 0.0000000000
#> 850 native_american 0 0.0000000000
#> 851 native_american 0 0.0000000000
#> 852 native_american 0 0.0000000000
#> 853 native_american 0 0.0000000000
#> 854 native_american 0 0.0000000000
#> 855 native_american 0 0.0000000000
#> 856 native_american 0 0.0000000000
#> 857 native_american 0 0.0000000000
#> 858 native_american 0 0.0000000000
#> 859 native_american 0 0.0000000000
#> 860 native_american 0 0.0000000000
#> 861 native_american 0 0.0000000000
#> 862 native_american 0 0.0000000000
#> 863 native_american 0 0.0000000000
#> 864 native_american 0 0.0000000000
#> 865 native_american 0 0.0000000000
#> 866 native_american 0 0.0000000000
#> 867 native_american 0 0.0000000000
#> 868 native_american 0 0.0000000000
#> 869 native_american 0 0.0000000000
#> 870 native_american 0 0.0000000000
#> 871 native_american 0 0.0000000000
#> 872 native_american 0 0.0000000000
#> 873 native_american 0 0.0000000000
#> 874 native_american 0 0.0000000000
#> 875 native_american 0 0.0000000000
#> 876 native_american 0 0.0000000000
#> 877 native_american 0 0.0000000000
#> 878 native_american 0 0.0000000000
#> 879 native_american 0 0.0000000000
#> 880 native_american 0 0.0000000000
#> 881 native_american 0 0.0000000000
#> 882 native_american 0 0.0000000000
#> 883 native_american 0 0.0000000000
#> 884 native_american 0 0.0000000000
#> 885 native_american 0 0.0000000000
#> 886 native_american 0 0.0000000000
#> 887 native_american 0 0.0000000000
#> 888 native_american 0 0.0000000000
#> 889 native_american 0 0.0000000000
#> 890 native_american 0 0.0000000000
#> 891 native_american 0 0.0000000000
#> 892 native_american 0 0.0000000000
#> 893 native_american 0 0.0000000000
#> 894 native_american 0 0.0000000000
#> 895 native_american 0 0.0000000000
#> 896 native_american 0 0.0000000000
#> 897 native_american 0 0.0000000000
#> 898 native_american 0 0.0000000000
#> 899 native_american 0 0.0000000000
#> 900 pacific_islander 0 0.0000000000
#> 901 pacific_islander 0 0.0000000000
#> 902 pacific_islander 0 0.0000000000
#> 903 pacific_islander 0 0.0000000000
#> 904 pacific_islander 0 0.0000000000
#> 905 pacific_islander 0 0.0000000000
#> 906 pacific_islander 0 0.0000000000
#> 907 pacific_islander 0 0.0000000000
#> 908 pacific_islander 0 0.0000000000
#> 909 pacific_islander 0 0.0000000000
#> 910 pacific_islander 0 0.0000000000
#> 911 pacific_islander 0 0.0000000000
#> 912 pacific_islander 0 0.0000000000
#> 913 pacific_islander 0 0.0000000000
#> 914 pacific_islander 0 0.0000000000
#> 915 pacific_islander 0 0.0000000000
#> 916 pacific_islander 0 0.0000000000
#> 917 pacific_islander 0 0.0000000000
#> 918 pacific_islander 0 0.0000000000
#> 919 pacific_islander 0 0.0000000000
#> 920 pacific_islander 0 0.0000000000
#> 921 pacific_islander 0 0.0000000000
#> 922 pacific_islander 0 0.0000000000
#> 923 pacific_islander 0 0.0000000000
#> 924 pacific_islander 0 0.0000000000
#> 925 pacific_islander 0 0.0000000000
#> 926 pacific_islander 0 0.0000000000
#> 927 pacific_islander 0 0.0000000000
#> 928 pacific_islander 0 0.0000000000
#> 929 pacific_islander 0 0.0000000000
#> 930 pacific_islander 0 0.0000000000
#> 931 pacific_islander 0 0.0000000000
#> 932 pacific_islander 0 0.0000000000
#> 933 pacific_islander 0 0.0000000000
#> 934 pacific_islander 0 0.0000000000
#> 935 pacific_islander 0 0.0000000000
#> 936 pacific_islander 0 0.0000000000
#> 937 pacific_islander 0 0.0000000000
#> 938 pacific_islander 0 0.0000000000
#> 939 pacific_islander 0 0.0000000000
#> 940 pacific_islander 0 0.0000000000
#> 941 pacific_islander 0 0.0000000000
#> 942 pacific_islander 0 0.0000000000
#> 943 pacific_islander 0 0.0000000000
#> 944 pacific_islander 0 0.0000000000
#> 945 pacific_islander 0 0.0000000000
#> 946 pacific_islander 0 0.0000000000
#> 947 pacific_islander 0 0.0000000000
#> 948 pacific_islander 0 0.0000000000
#> 949 pacific_islander 0 0.0000000000
#> 950 pacific_islander 0 0.0000000000
#> 951 pacific_islander 0 0.0000000000
#> 952 pacific_islander 0 0.0000000000
#> 953 pacific_islander 0 0.0000000000
#> 954 pacific_islander 0 0.0000000000
#> 955 pacific_islander 0 0.0000000000
#> 956 pacific_islander 0 0.0000000000
#> 957 pacific_islander 0 0.0000000000
#> 958 pacific_islander 0 0.0000000000
#> 959 pacific_islander 0 0.0000000000
#> 960 pacific_islander 0 0.0000000000
#> 961 pacific_islander 0 0.0000000000
#> 962 pacific_islander 0 0.0000000000
#> 963 pacific_islander 0 0.0000000000
#> 964 pacific_islander 0 0.0000000000
#> 965 pacific_islander 0 0.0000000000
#> 966 pacific_islander 0 0.0000000000
#> 967 pacific_islander 0 0.0000000000
#> 968 pacific_islander 0 0.0000000000
#> 969 pacific_islander 0 0.0000000000
#> 970 pacific_islander 0 0.0000000000
#> 971 pacific_islander 0 0.0000000000
#> 972 pacific_islander 0 0.0000000000
#> 973 pacific_islander 0 0.0000000000
#> 974 pacific_islander 0 0.0000000000
#> 975 pacific_islander 0 0.0000000000
#> 976 pacific_islander 0 0.0000000000
#> 977 pacific_islander 0 0.0000000000
#> 978 pacific_islander 0 0.0000000000
#> 979 multiracial 0 0.0000000000
#> 980 multiracial 0 0.0000000000
#> 981 multiracial 0 0.0000000000
#> 982 multiracial 0 0.0000000000
#> 983 multiracial 0 0.0000000000
#> 984 multiracial 0 0.0000000000
#> 985 multiracial 0 0.0000000000
#> 986 multiracial 0 0.0000000000
#> 987 multiracial 0 0.0000000000
#> 988 multiracial 0 0.0000000000
#> 989 multiracial 0 0.0000000000
#> 990 multiracial 0 0.0000000000
#> 991 multiracial 0 0.0000000000
#> 992 multiracial 0 0.0000000000
#> 993 multiracial 0 0.0000000000
#> 994 multiracial 0 0.0000000000
#> 995 multiracial 0 0.0000000000
#> 996 multiracial 0 0.0000000000
#> 997 multiracial 0 0.0000000000
#> 998 multiracial 0 0.0000000000
#> 999 multiracial 0 0.0000000000
#> 1000 multiracial 0 0.0000000000
#> 1001 multiracial 0 0.0000000000
#> 1002 multiracial 0 0.0000000000
#> 1003 multiracial 0 0.0000000000
#> 1004 multiracial 0 0.0000000000
#> 1005 multiracial 0 0.0000000000
#> 1006 multiracial 0 0.0000000000
#> 1007 multiracial 0 0.0000000000
#> 1008 multiracial 0 0.0000000000
#> 1009 male 0 0.0000000000
#> 1010 female 0 0.0000000000Analyze Demographics Over Time
enr_multi |>
filter(is_state, grade_level == "TOTAL",
subgroup %in% c("white", "black", "hispanic", "asian")) |>
select(end_year, subgroup, n_students) |>
tidyr::pivot_wider(names_from = subgroup, values_from = n_students)
#> # A tibble: 5 × 5
#> end_year white black hispanic asian
#> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 2020 946701 255296 118203 50610
#> 2 2021 909888 246583 117633 49701
#> 3 2022 898350 246831 120514 49200
#> 4 2023 884762 246629 122740 49502
#> 5 2024 869360 245569 125764 50506Wide Format
For analysis that needs all demographics in columns, use
tidy = FALSE:
wide_2024 <- fetch_enr(2024, tidy = FALSE, use_cache = TRUE)
# Contains columns like: row_total, white, black, hispanic, asian,
# grade_k, grade_01, etc.
names(wide_2024)
#> [1] "end_year" "type" "district_id" "campus_id"
#> [5] "district_name" "campus_name" "row_total" "native_american"
#> [9] "asian" "black" "pacific_islander" "white"
#> [13] "hispanic" "multiracial" "male" "female"
#> [17] "grade_k" "grade_01" "grade_02" "grade_03"
#> [21] "grade_04" "grade_05" "grade_06" "grade_07"
#> [25] "grade_08" "grade_09" "grade_10" "grade_11"
#> [29] "grade_12"Caching
Data is cached locally to avoid repeated downloads:
# View cached files
cache_status()
# Clear specific year
clear_cache(2024)
# Clear all cached data
clear_cache()
# Force fresh download (ignore cache)
enr_fresh <- fetch_enr(2024, use_cache = FALSE)Michigan-Specific Notes
District Codes
Michigan uses 5-digit district codes. The first two digits indicate the Intermediate School District (ISD):
-
82xxx- Wayne RESA (includes Detroit) -
63xxx- Oakland Schools -
50xxx- Macomb ISD -
33xxx- Kent ISD (includes Grand Rapids)
Troubleshooting
Slow Downloads
Initial downloads may take 1-2 minutes as files are ~10MB each. Use caching to avoid repeated downloads.
Missing Data
Some years or subgroups may have suppressed data (shown as NA) for privacy protection when counts are small.
xlsb Format
The 2015 (2014-15) file uses .xlsb format which may
require additional software to read.
Historical Data Formats
Michigan’s data files have evolved over time with different column naming conventions:
-
1996-2003: Legacy format with uppercase column names (e.g.,
TOT_ALL,TOT_M_IND,K_TOTAL)- No multiracial or Pacific Islander categories (not tracked separately until 2000s)
- Race demographics stored as separate M/F columns that are summed
2004-2009: Transitional format with some lowercase column names
-
2010-present: Modern format with consistent lowercase names (e.g.,
tot_all,tot_ai,k_totl)- Includes multiracial and Pacific Islander categories
The package handles all these formats automatically - just specify the year you want.
Getting Help
Report issues at: https://github.com/almartin82/mischooldata/issues
sessionInfo()
#> R version 4.5.2 (2025-10-31)
#> Platform: x86_64-pc-linux-gnu
#> Running under: Ubuntu 24.04.3 LTS
#>
#> Matrix products: default
#> BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
#> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.26.so; LAPACK version 3.12.0
#>
#> locale:
#> [1] LC_CTYPE=C.UTF-8 LC_NUMERIC=C LC_TIME=C.UTF-8
#> [4] LC_COLLATE=C.UTF-8 LC_MONETARY=C.UTF-8 LC_MESSAGES=C.UTF-8
#> [7] LC_PAPER=C.UTF-8 LC_NAME=C LC_ADDRESS=C
#> [10] LC_TELEPHONE=C LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C
#>
#> time zone: UTC
#> tzcode source: system (glibc)
#>
#> attached base packages:
#> [1] stats graphics grDevices utils datasets methods base
#>
#> other attached packages:
#> [1] dplyr_1.2.0 mischooldata_0.2.0
#>
#> loaded via a namespace (and not attached):
#> [1] jsonlite_2.0.0 compiler_4.5.2 tidyselect_1.2.1 tidyr_1.3.2
#> [5] jquerylib_0.1.4 systemfonts_1.3.2 textshaping_1.0.5 yaml_2.3.12
#> [9] fastmap_1.2.0 readxl_1.4.5 R6_2.6.1 generics_0.1.4
#> [13] curl_7.0.0 knitr_1.51 tibble_3.3.1 desc_1.4.3
#> [17] bslib_0.10.0 pillar_1.11.1 rlang_1.1.7 cachem_1.1.0
#> [21] xfun_0.56 fs_1.6.7 sass_0.4.10 cli_3.6.5
#> [25] pkgdown_2.2.0 withr_3.0.2 magrittr_2.0.4 digest_0.6.39
#> [29] rappdirs_0.3.4 lifecycle_1.0.5 vctrs_0.7.1 evaluate_1.0.5
#> [33] glue_1.8.0 cellranger_1.1.0 codetools_0.2-20 ragg_1.5.1
#> [37] rmarkdown_2.30 purrr_1.2.1 httr_1.4.8 tools_4.5.2
#> [41] pkgconfig_2.0.3 htmltools_0.5.9