#!/usr/bin/env python3

import sys
# import math
# from string import ascii_lowercase, ascii_uppercase, ascii_letters, digits, hexdigits
# import re                                    # re.compile(pattern) => ptn obj; p.search(s), p.match(s), p.finditer(s) => match obj; p.sub(after, s)
# from operator import itemgetter              # itemgetter(1), itemgetter('key')
# from collections import deque                # deque class. deque(L): dq.append(x), dq.appendleft(x), dq.pop(), dq.popleft(), dq.rotate()
# from collections import defaultdict          # subclass of dict. defaultdict(facroty)
# from collections import Counter              # subclass of dict. Counter(iter): c.elements(), c.most_common(n), c.subtract(iter)
# from heapq import heapify, heappush, heappop # built-in list. heapify(L) changes list in-place to min-heap in O(n), heappush(heapL, x) and heappop(heapL) in O(lgn).
# from heapq import nlargest, nsmallest        # nlargest(n, iter[, key]) returns k-largest-list in O(n+klgn).
# from itertools import count, cycle, repeat   # count(start[,step]), cycle(iter), repeat(elm[,n])
# from itertools import groupby                # [(k, list(g)) for k, g in groupby('000112')] returns [('0',['0','0','0']), ('1',['1','1']), ('2',['2'])]
# from itertools import starmap                # starmap(pow, [[2,5], [3,2]]) returns [32, 9]
# from itertools import product, permutations  # product(iter, repeat=n), permutations(iter[,r])
# from itertools import combinations, combinations_with_replacement
# from itertools import accumulate             # accumulate(iter[, f])
# from functools import reduce                 # reduce(f, iter[, init])
# from functools import lru_cache              # @lrucache ...arguments of functions should be able to be keys of dict (e.g. list is not allowed)
# from bisect import bisect_left, bisect_right # bisect_left(a, x, lo=0, hi=len(a)) returns i such that all(val<x for val in a[lo:i]) and all(val>-=x for val in a[i:hi]).
# from copy import deepcopy                    # to copy multi-dimentional matrix without reference
# from fractions import gcd                    # for Python 3.4 (previous contest @AtCoder)
from random import shuffle

def main():
    mod = 1000000007                # 10^9+7
    inf = float('inf')              # sys.float_info.max = 1.79...e+308
    # inf = 2 ** 64 - 1               # (for fast JIT compile in PyPy) 1.84...e+19
    sys.setrecursionlimit(10**6)    # 1000 -> 1000000
    def input(): return sys.stdin.readline().rstrip()
    def ii():    return int(input())
    def mi():    return map(int, input().split())
    def mi_0():  return map(lambda x: int(x)-1, input().split())
    def lmi():   return list(map(int, input().split()))
    def lmi_0(): return list(map(lambda x: int(x)-1, input().split()))
    def li():    return list(input())
    

    class TwoDimNode:
        def __init__(self, x=None, y=None, parent=None, left=None, right=None):
            self.x = x
            self.y = y
            self.parent = parent
            self.left = left
            self.right = right
            self.flag = True

    class TwoDimTree:
        def __init__(self):
            self.nil = TwoDimNode()
            self.nil.parent = self.nil
            self.nil.left = self.nil
            self.nil.right = self.nil
            self.root = self.nil
        
        def preorder_traverse(self, node=None):
            if node is None:
                node = self.root
            if node != self.nil:
                print(f"({node.x},{node.y})", end=' ')
                self.preorder_traverse(node=node.left)
                self.preorder_traverse(node=node.right)

        def post_order_traverse(self, node=None):
            if node is None:
                node = self.root
            if node != self.nil:
                self.post_order_traverse(node=node.left)
                self.post_order_traverse(node=node.right)
                print(f"({node.x},{node.y})", end=' ')
                
        def insert(self, x, y):
            trailer = self.nil
            pos = self.root
            depth = 0
            while pos != self.nil:
                trailer = pos
                if depth % 2 == 0:
                    k, pos_k = x, pos.x
                else:
                    k, pos_k = y, pos.y
                if k < pos_k:
                    pos = pos.left
                elif pos_k < k:
                    pos = pos.right
                else:
                    pos.flag ^= pos.flag
                    pos = pos.left if pos.flag else pos.right
                depth += 1
            inserted_node = TwoDimNode(x, y, trailer, self.nil, self.nil)
            # trailer の depth
            depth -= 1
            if depth % 2 == 0:
                k, trailer_k = x, trailer.x
            else:
                k, trailer_k = y, trailer.y
            # tree is empty
            if trailer == self.nil:
                self.root = inserted_node
            elif k < trailer_k or (k == trailer_k and trailer.flag):
                trailer.left = inserted_node
            else:
                trailer.right = inserted_node
        
        def two_dim_search(self, sx, tx, sy, ty, node=None, depth=0):
            buf = []
            if node is None:
                node = self.root
            # print(f"{node.x} {node.y}")
            if depth % 2 == 0:
                if node.left != self.nil and sx <= node.x:
                    buf += self.two_dim_search(sx, tx, sy, ty, node.left, depth+1)
                if sx <= node.x <= tx and sy <= node.y <= ty:
                    buf.append((node.x, node.y))
                if node.right != self.nil and tx >= node.x:
                    buf += self.two_dim_search(sx, tx, sy, ty, node.right, depth+1)
            else:
                if node.left != self.nil and sy <= node.y:
                    buf += self.two_dim_search(sx, tx, sy, ty, node.left, depth+1)
                if sx <= node.x <= tx and sy <= node.y <= ty:
                    buf.append((node.x, node.y))
                if node.right != self.nil and ty >= node.y:
                    buf += self.two_dim_search(sx, tx, sy, ty, node.right, depth+1)
            return buf

    def unvisited_p(d, i, j):
        if i in d:
            if j in d[i]:
                return False
        return True

    def register(d, i, j):
        if i not in d:
            d[i] = set()
            d[i].add(j)
        else:
            d[i].add(j)

    
    h, w, n = mi()
    points = [lmi() for _ in range(n)]
    shuffle(points)

    num_of_grids_contains_black = [0] * 10

    # kD tree 処理
    kd_tree = TwoDimTree()
    for x, y in points:
        kd_tree.insert(x, y)
    
    # kd_tree.preorder_traverse()
    # print('')
    # kd_tree.post_order_traverse()
    # print('')



    d = dict()
    for x, y in points:
        # print(f"{x} {y} {kd_tree.two_dim_search(x-1, x+1, y-1, y+1)}")
        for i in range(x-1, x+2):
            for j in range(y-1, y+2):
                if 2 <= i <= h-1 and 2 <= j <= w-1 and unvisited_p(d, i, j):    # 探索する 3*3 grid のセンター
                    # print(f"{i} {j}")
                    # print(kd_tree.two_dim_search(i-1, i+1, j-1, j+1))
                    num_of_grids_contains_black[len(kd_tree.two_dim_search(i-1, i+1, j-1, j+1))] += 1
                    register(d, i, j)


    num_of_grids_contains_black[0] = (h - 2) * (w - 2) - sum(num_of_grids_contains_black[1:])
    print(*num_of_grids_contains_black, sep='\n')



if __name__ == "__main__":
    main()


### FIXED CODE ###

#!/usr/bin/env python3

import sys
# import math
# from string import ascii_lowercase, ascii_uppercase, ascii_letters, digits, hexdigits
# import re                                    # re.compile(pattern) => ptn obj; p.search(s), p.match(s), p.finditer(s) => match obj; p.sub(after, s)
# from operator import itemgetter              # itemgetter(1), itemgetter('key')
# from collections import deque                # deque class. deque(L): dq.append(x), dq.appendleft(x), dq.pop(), dq.popleft(), dq.rotate()
# from collections import defaultdict          # subclass of dict. defaultdict(facroty)
# from collections import Counter              # subclass of dict. Counter(iter): c.elements(), c.most_common(n), c.subtract(iter)
# from heapq import heapify, heappush, heappop # built-in list. heapify(L) changes list in-place to min-heap in O(n), heappush(heapL, x) and heappop(heapL) in O(lgn).
# from heapq import nlargest, nsmallest        # nlargest(n, iter[, key]) returns k-largest-list in O(n+klgn).
# from itertools import count, cycle, repeat   # count(start[,step]), cycle(iter), repeat(elm[,n])
# from itertools import groupby                # [(k, list(g)) for k, g in groupby('000112')] returns [('0',['0','0','0']), ('1',['1','1']), ('2',['2'])]
# from itertools import starmap                # starmap(pow, [[2,5], [3,2]]) returns [32, 9]
# from itertools import product, permutations  # product(iter, repeat=n), permutations(iter[,r])
# from itertools import combinations, combinations_with_replacement
# from itertools import accumulate             # accumulate(iter[, f])
# from functools import reduce                 # reduce(f, iter[, init])
# from functools import lru_cache              # @lrucache ...arguments of functions should be able to be keys of dict (e.g. list is not allowed)
# from bisect import bisect_left, bisect_right # bisect_left(a, x, lo=0, hi=len(a)) returns i such that all(val<x for val in a[lo:i]) and all(val>-=x for val in a[i:hi]).
# from copy import deepcopy                    # to copy multi-dimentional matrix without reference
# from fractions import gcd                    # for Python 3.4 (previous contest @AtCoder)


def main():
    mod = 1000000007                # 10^9+7
    inf = float('inf')              # sys.float_info.max = 1.79...e+308
    # inf = 2 ** 64 - 1               # (for fast JIT compile in PyPy) 1.84...e+19
    sys.setrecursionlimit(10**6)    # 1000 -> 1000000
    def input(): return sys.stdin.readline().rstrip()
    def ii():    return int(input())
    def mi():    return map(int, input().split())
    def mi_0():  return map(lambda x: int(x)-1, input().split())
    def lmi():   return list(map(int, input().split()))
    def lmi_0(): return list(map(lambda x: int(x)-1, input().split()))
    def li():    return list(input())


    def contained_in_dict_set(d, i, j):
        if i in d:
            if j in d[i]:
                return True
        return False
    
    def register_dict_set(d, i, j):
        if i not in d:
            d[i] = set()
        d[i].add(j)

    def count_black_around_center(point_dict, i, j):
        cnt = 0
        for s in range(i-1, i+2):
            for t in range(j-1, j+2):
                if contained_in_dict_set(point_dict, s, t):
                    cnt += 1
        return cnt
    

    h, w, n = mi()
    points = [lmi() for _ in range(n)]
    num_of_grids_contains_black = [0] * 10

    point_dict = dict()
    visited_dict = dict()

    for x, y in points:
        register_dict_set(point_dict, x, y)

    for x, y in points:
        for i in range(x-1, x+2):
            for j in range(y-1, y+2):
                if 2<=i<=h-1 and 2<=j<=w-1 and not contained_in_dict_set(visited_dict, i, j):
                    cnt = count_black_around_center(point_dict, i, j)
                    num_of_grids_contains_black[cnt] += 1
                    register_dict_set(visited_dict, i, j)
    
    num_of_grids_contains_black[0] = (h - 2) * (w - 2) - sum(num_of_grids_contains_black[1:])
    print(*num_of_grids_contains_black, sep='\n')    



if __name__ == "__main__":
    main()